CN114460484B - Rechargeable battery life prediction method and device based on accumulated wear quantity - Google Patents
Rechargeable battery life prediction method and device based on accumulated wear quantity Download PDFInfo
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Abstract
The invention belongs to the technical field of life prediction of rechargeable batteries, and discloses a method and a device for predicting the life of a rechargeable battery based on accumulated wear and tear, which are used for coping with random charging and discharging scenes widely existing in the actual use process of the rechargeable battery. The method comprises the following steps: (1) Acquiring or estimating the accumulated wear quantity of the rechargeable battery as the current service life; (2) Acquiring or estimating key performance indexes of the rechargeable battery as current SOH; (3) acquiring a degradation model of the rechargeable battery; (4) Predicting an estimated value of the residual life of the rechargeable battery according to the current SOH, the current life, the degradation model and a preset failure index; the existing traditional charging battery life prediction method adopts the times of charge and discharge cycles as the life, and only considers the charge and discharge process under ideal conditions. In the random charging and discharging process of practical application, the prediction effect of the life index is poor. The invention adopts the accumulated wear quantity of the rechargeable battery as a life index, and aims to solve the problem of life prediction under the actual use condition of the rechargeable battery. The invention can directly predict the residual quantity of the accumulated wear quantity, thereby being more practical. Under the condition of random use, compared with a prediction method taking the number of charge and discharge cycles as the service life, the accuracy of the method can be improved by more than 80 percent.
Description
Technical Field
The invention belongs to the technical field of life prediction of rechargeable batteries, and particularly relates to a method and a device for predicting the life of a rechargeable battery based on accumulated wear and tear.
Background
With the development of technology, the field of application of rechargeable batteries is increasing. The performance of the rechargeable battery gradually decays during use, which affects the working performance to some extent. When the battery is attenuated to some extent, efficient use is not possible. The service life condition of the battery is effectively monitored and predicted, so that the stability and the safety of the battery in the working process can be ensured, and meanwhile, the maintenance and the replacement work can be reasonably arranged.
In the conventional method for predicting the lifetime of a rechargeable battery, the number of charge/discharge cycles is used as the lifetime. These traditional methods of rechargeable battery life prediction result from rechargeable battery life testing under laboratory conditions. Under laboratory conditions, the charging process and the discharging process can be ensured to be alternately performed, and the integrity of the charging process and the discharging process can be ensured. Therefore, the adoption of the charge-discharge cycle times as the service life has good accuracy.
However, in the actual use process of the rechargeable battery, the charging and discharging processes of the rechargeable battery depend on the use habit of a user. Thus, in most cases, both the charging process and the discharging process are discontinuous and incomplete. For example, when a contact failure occurs in a user's charging line, several tens of charge and discharge cycles may occur within a day. When the number of charge-discharge cycles is used as the lifetime, the predicted lifetime is rapidly reduced, but the actual lifetime is not significantly changed. Meanwhile, the half-charge and half-discharge phenomenon existing in a large number in a user use scene can also affect the prediction accuracy.
Obviously, in the practical use process of the rechargeable battery, the service life of the rechargeable battery is inaccurate and unreasonable by taking the charge and discharge cycle times.
Disclosure of Invention
The inventor finds that the accumulated wear amount is very suitable for describing the degradation process of the rechargeable battery under the random charge and discharge condition as the service life after a great amount of analysis and research.
In view of the above, the invention discloses a rechargeable battery life prediction method based on accumulated wear and tear, which can accurately predict the life of a rechargeable battery in the actual use process, so as to early warn in time and ensure the safety of the rechargeable battery in the use process. Compared with the method based on the cycle times, the method has the advantage that the accuracy is improved by more than 80%.
According to a first aspect of embodiments of the present disclosure, there is provided a rechargeable battery life prediction method based on accumulated wear amount, including the steps of:
acquiring or estimating the accumulated wear quantity of the rechargeable battery as the current service life;
acquiring or estimating key performance indexes of the rechargeable battery as current SOH;
acquiring a degradation model of the rechargeable battery;
and predicting the estimated value of the residual life of the rechargeable battery according to the current SOH, the current life, the degradation model and a preset failure index.
In some embodiments, the accumulated wear amount includes at least one of an accumulated charge amount, an accumulated discharge amount, an accumulated charge discharge amount;
the accumulated consumption comprises constant multiple mathematical transformation of at least one of accumulated charge quantity, accumulated discharge quantity and accumulated charge discharge quantity;
the key performance index comprises at least one of maximum storage capacity, attenuation of the maximum storage capacity, internal resistance of the battery and variation of the internal resistance of the battery;
the key performance index comprises constant multiple mathematical transformation of at least one of maximum storage capacity, attenuation of maximum storage capacity, internal resistance of the battery and variation of internal resistance of the battery.
In some embodiments, the accumulated wear amount includes at least one of an accumulated work amount of the charging battery for normal operation of the power consuming device, an accumulated mileage of the charging battery for normal operation of the vehicle, and the like;
the accumulated consumption comprises accumulated work load of the normal running of the rechargeable battery power supply and consumption equipment, and constant multiple mathematical transformation of at least one of accumulated mileage of the normal running of the rechargeable battery power supply and consumption equipment;
the key performance index comprises at least one of the workload generated by the operation of the power consumption equipment and the mileage generated by the running of the automobile and the maximum storage capacity of the rechargeable battery;
the key performance index comprises the constant multiple mathematical transformation of at least one of the maximum storage capacity of the rechargeable battery, the mileage generated by running of the automobile and the like, wherein the work load generated by running of the power consumption equipment can be provided by the maximum storage capacity of the rechargeable battery.
In some embodiments, the step of obtaining a degradation model of the rechargeable battery comprises:
acquiring a preset degradation model;
acquiring historical use data of the rechargeable battery and constructing a degradation model;
Historical usage data of other types of rechargeable batteries is obtained and a degradation model is constructed.
In some embodiments, the failure index is preset to be a certain value in the SOH value range of the rechargeable battery, and the rechargeable battery fails when the SOH reaches the index;
the remaining life is a remaining cumulative amount of the cumulative wear amount, that is, the cumulative wear amount that can be additionally accumulated in a range from a prediction start time to when the rechargeable battery fails;
the current lifetime is a current value of the cumulative wear amount, that is, the cumulative wear amount accumulated from the time when the rechargeable battery is put into use to the predicted start time.
In some embodiments, the method includes obtaining an estimated value of the total life of the rechargeable battery according to a current SOH, a current life, a degradation model, and a preset failure index;
obtaining corresponding SOH in the residual life range according to the current SOH, the current life, a degradation model and a preset failure index;
outputting planned replacement time according to at least one of seven indexes including current SOH, current life, degradation model, preset failure index, residual life, total life and corresponding SOH in the residual life range;
The total lifetime includes an accumulated cumulative wear from when the rechargeable battery is put into use until the SOH reaches a failure index;
the remaining life of the rechargeable battery further comprises a ratio of a remaining cumulative amount of accumulated wear amount to a total life, namely a ratio of accumulated wear amount to total life which can be additionally accumulated in a range from a prediction starting time to when the rechargeable battery fails;
the SOH corresponding to the remaining life range includes at least one SOH corresponding to a range from a prediction start time to a time when the rechargeable battery fails.
According to a second aspect of the embodiments of the present disclosure, there is provided a rechargeable battery life prediction apparatus based on an accumulated wear amount, including:
the accumulated wear-out amount acquisition module is configured to acquire or estimate the accumulated wear-out amount of the rechargeable battery as the current service life;
the key performance index acquisition module is configured to acquire or estimate a key performance index of the rechargeable battery as a current SOH;
a model acquisition module configured to acquire a degradation model of the rechargeable battery;
the residual life prediction module is configured to predict an estimated value of the residual life of the rechargeable battery according to the current SOH, the current life, the degradation model and a preset failure index.
In some embodiments, the accumulated wear-out amount acquired by the accumulated wear-out amount acquisition module includes at least one of an accumulated charge amount, an accumulated discharge amount, and an accumulated charge-discharge amount;
the accumulated consumption obtained by the accumulated consumption obtaining module comprises constant multiple mathematical transformation of at least one of accumulated charge quantity, accumulated discharge quantity and accumulated charge discharge quantity;
the key performance index acquired by the key performance index acquisition module comprises at least one of maximum storage capacity, attenuation of the maximum storage capacity, internal resistance of the battery and variation of the internal resistance of the battery;
the key performance index obtained by the key performance index obtaining module comprises constant multiple mathematical transformation of at least one of maximum storage capacity, attenuation of the maximum storage capacity, internal resistance of the battery and variation of the internal resistance of the battery;
the accumulated consumption amount acquired by the accumulated consumption amount acquisition module comprises at least one of accumulated work amount for normal running of the rechargeable battery power supply and consumption equipment and accumulated mileage for normal running of the rechargeable battery power supply and consumption equipment;
the accumulated consumption amount obtained by the accumulated consumption amount obtaining module comprises constant multiple mathematical transformation of at least one of accumulated workload of normal running of the rechargeable battery power supply and consumption equipment and accumulated mileage of normal running of the rechargeable battery power supply and consumption equipment;
The key performance index acquired by the key performance index acquisition module comprises at least one of the workload generated by the operation of power consumption equipment and the mileage generated by the running of the automobile, and the maximum storage capacity of the rechargeable battery;
the key performance index obtained by the key performance index obtaining module comprises the workload generated by the operation of power consumption equipment and the maximum storage capacity of the rechargeable battery, wherein the constant multiple mathematical transformation of at least one of mileage generated by the running of an automobile and the like is realized by the maximum storage capacity of the rechargeable battery.
In some embodiments, the model acquisition module acquires a function of a degradation model of the rechargeable battery, including acquiring a preset degradation model; acquiring historical use data of the rechargeable battery and constructing a degradation model; acquiring historical use data of other rechargeable batteries of the same type and constructing a degradation model;
the failure index is preset as a certain value in the SOH value range of the rechargeable battery in advance, and when the SOH reaches the index, the rechargeable battery fails;
the remaining life is a remaining cumulative amount of the cumulative wear amount, that is, the cumulative wear amount that can be additionally accumulated in a range from a prediction start time to when the rechargeable battery fails;
The current lifetime is a current value of the cumulative wear amount, that is, the cumulative wear amount accumulated from the time when the rechargeable battery is put into use to the predicted start time.
In some embodiments, the battery management system further comprises a total life prediction module configured to obtain an estimated value of the total life of the rechargeable battery according to the current SOH, the current life, the degradation model and a preset failure index;
the SOH prediction module is configured to obtain corresponding SOH in the residual life range according to the current SOH, the current life, the degradation model and a preset failure index;
the system further comprises a planning module, a control module and a control module, wherein the planning module is configured to output planned replacement time according to at least one of seven indexes including current SOH, current life, degradation model, preset failure indexes, residual life, total life and corresponding SOH in the residual life range;
the total lifetime includes an accumulated cumulative wear from when the rechargeable battery is put into use until the SOH reaches a failure index;
the remaining life of the rechargeable battery further comprises a ratio of a remaining cumulative amount of accumulated wear amount to a total life, namely a ratio of accumulated wear amount to total life which can be additionally accumulated in a range from a prediction starting time to when the rechargeable battery fails;
The SOH corresponding to the remaining life range includes at least one SOH corresponding to a range from a prediction start time to a time when the rechargeable battery fails.
Drawings
The foregoing or additional aspects and advantages of the invention will become apparent and may be readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a method of predicting battery life of a rechargeable battery based on an accumulated wear amount according to some embodiments of the present disclosure;
fig. 2 is a structural frame diagram of a rechargeable battery life prediction apparatus based on an accumulated wear amount according to some embodiments of the present disclosure.
Description of the embodiments
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is merely illustrative, and is in no way intended to limit the disclosure, its application, or uses. The present disclosure may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that: the relative arrangement of parts and steps, the composition of materials, and the numerical values set forth in these examples should be construed as merely illustrative, and not limiting unless specifically stated otherwise.
The use of the terms "comprising" or "including" and the like in this disclosure means that elements preceding the term encompass the elements recited after the term, and does not exclude the possibility of also encompassing other elements.
All terms (including technical or scientific terms) used in this disclosure have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs, unless specifically defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
In the conventional method for predicting the lifetime of a rechargeable battery, the number of charge/discharge cycles is used as the lifetime. These traditional methods of rechargeable battery life prediction result from rechargeable battery life testing under laboratory conditions. Under laboratory conditions, the charging process and the discharging process can be ensured to be alternately performed, and the integrity of the charging process and the discharging process can be ensured. Therefore, the adoption of the charge-discharge cycle times as the service life has good accuracy. However, this method is difficult to be applied practically because randomness and incompleteness of the actual use process of the user are not considered.
The invention provides a rechargeable battery life prediction method and device based on accumulated wear and tear amount, which can well solve randomness and incompleteness of a rechargeable battery in the actual use process.
Fig. 1 is a flow chart of a method of predicting battery life of a rechargeable battery based on an accumulated wear amount according to some embodiments of the present disclosure. In some embodiments, the lifetime prediction method includes steps 101-107.
In step 101, the accumulated wear-out amount of the rechargeable battery is acquired or estimated as the current lifetime.
The term "obtain or estimate" in this step includes, but is not limited to, estimating the cumulative wear based on historical data if the cumulative wear is not available for a particular situation.
In step 103, key performance indicators of the rechargeable battery are obtained or estimated as the current SOH.
The term "acquiring or estimating" in this step includes, but is not limited to, estimating according to historical data if the key performance indicators cannot be acquired due to a specific situation.
In some embodiments, the accumulated wear amount includes at least one of an accumulated charge amount, an accumulated discharge amount, an accumulated charge discharge amount;
the accumulated consumption comprises constant multiple mathematical transformation of at least one of accumulated charge quantity, accumulated discharge quantity and accumulated charge discharge quantity;
The key performance index comprises at least one of maximum storage capacity, attenuation of the maximum storage capacity, internal resistance of the battery and variation of the internal resistance of the battery;
the key performance index comprises constant multiple mathematical transformation of at least one of maximum storage capacity, attenuation of maximum storage capacity, internal resistance of the battery and variation of internal resistance of the battery.
The actual meaning of the accumulated wear amount will be described here by taking the accumulated charge amount as an example. The accumulated charge amount represents the amount of electricity accumulated by the rechargeable battery from the time of the start of use to the time of the prediction. The rechargeable battery is charged or discharged continuously from the start of its use, and the amount of electricity charged in each charging process is accumulated to obtain the required accumulated charge.
The maximum storage capacity is the maximum electric quantity charged in the charging process of the rechargeable battery, and the maximum storage capacity is continuously attenuated along with the use process of the rechargeable battery. Rechargeable batteries generally have rated indicators such as rated capacity and rated workload. In many application scenarios, the indexes such as the charge amount or the workload of the vehicle are obtained by normalizing the key performance indexes such as the charge amount or the workload according to the rated indexes. For example, the maximum storage capacity herein includes an absolute maximum storage capacity and also includes a relative maximum storage capacity obtained by dividing the maximum storage capacity by the rated capacity (i.e., a constant-constant multiple mathematical transformation).
Similarly, the accumulated wear amount may include constant multiple mathematical transformations of the accumulated charge amount, accumulated discharge amount, accumulated charge-discharge amount, and the like. For example, in some cases, an accumulated charge coefficient may be obtained by dividing the accumulated charge amount by the rated capacity of the rechargeable battery, and the accumulated charge coefficient is taken as the accumulated wear amount. The definition of constant multiple mathematical transformations relating to both the accumulated discharge amount and the accumulated charge-discharge amount is similar.
The decay amount of the maximum storage capacity indicates the decay of the maximum stored energy amount obtained as compared with the time when the rechargeable battery was just put into use. The method for obtaining the attenuation of the maximum storage capacity comprises the absolute attenuation obtained by subtracting the maximum storage capacity in the initial state from the current maximum storage capacity, and also comprises the absolute attenuation obtained by subtracting the rated capacity from the current maximum storage capacity, and the application is not limited in any way. In addition, the attenuation condition of the maximum stored energy includes the absolute attenuation amount of the maximum stored energy, and also includes the relative attenuation rate (i.e., a constant-constant multiple mathematical transformation) obtained by dividing the absolute attenuation amount by the rated capacity.
In addition, the internal resistance of the rechargeable battery also changes during the use process of the rechargeable battery, and the change amount of the internal resistance of the battery represents the change condition of the internal resistance of the rechargeable battery compared with the condition of the internal resistance of the rechargeable battery when the rechargeable battery is just put into use. The change condition of the internal resistance of the battery includes the absolute change amount of the resistance of the battery, and also includes the change rate obtained by dividing the absolute change amount by the initial resistance (namely, constant times mathematical transformation).
In some embodiments, the accumulated wear amount includes at least one of an accumulated work amount of the charging battery for normal operation of the power consuming device, an accumulated mileage of the charging battery for normal operation of the vehicle, and the like;
the accumulated consumption comprises accumulated work load of the normal running of the rechargeable battery power supply and consumption equipment, and constant multiple mathematical transformation of at least one of accumulated mileage of the normal running of the rechargeable battery power supply and consumption equipment;
the key performance index comprises at least one of the workload generated by the operation of the power consumption equipment and the mileage generated by the running of the automobile and the maximum storage capacity of the rechargeable battery;
the key performance index comprises the constant multiple mathematical transformation of at least one of the maximum storage capacity of the rechargeable battery, the mileage generated by running of the automobile and the like, wherein the work load generated by running of the power consumption equipment can be provided by the maximum storage capacity of the rechargeable battery.
For some power consuming devices, the amount of work accumulated or generated during use of the rechargeable battery can be very convenient to measure and obtain. For example, the maximum storage capacity of the rechargeable battery can be used for the workload generated by the operation of the power consumption equipment, and the maximum storage capacity of the rechargeable battery can be used for the mileage generated by the running of the automobile. Accumulated workload accumulated by normal running of the power consumption equipment supplied by the rechargeable battery and accumulated mileage accumulated by normal running of the automobile supplied by the rechargeable battery. The index is directly related to the performance of the rechargeable battery, so that the accumulated consumption can be obtained as a key performance index or through accumulation. The index is also suitable for the related definition of the rated index, constant multiple times of the constant multiple times.
In step 105, a degradation model of the rechargeable battery is obtained.
In some embodiments, the step of obtaining a degradation model of the rechargeable battery comprises:
acquiring a preset degradation model;
acquiring historical use data of the rechargeable battery and constructing a degradation model;
historical usage data of other types of rechargeable batteries is obtained and a degradation model is constructed.
For rechargeable batteries, the degradation model can be preset, so that the degradation model can be directly obtained. Meanwhile, the degradation rule can be deduced from the historical use data of the rechargeable battery, so that a degradation model can be built in real time according to the historical data before the prediction process starts. In addition, the degradation model can be constructed by acquiring historical usage data of other types of rechargeable batteries. For example, data is collected by performing a charge and discharge test on the same type of rechargeable battery, or data on the use of the same type of rechargeable battery by other users is collected. The same type includes rechargeable batteries of the same type and also rechargeable batteries of the same manufacturing process and material.
In step 107, an estimated value of the remaining life of the rechargeable battery is predicted based on the current SOH, the current life, the degradation model, and a preset failure index.
In some embodiments, the failure index is preset to be a certain value in the SOH value range of the rechargeable battery, and the rechargeable battery fails when the SOH reaches the index;
the remaining life is a remaining cumulative amount of the cumulative wear amount, that is, the cumulative wear amount that can be additionally accumulated in a range from a prediction start time to when the rechargeable battery fails;
the current lifetime is a current value of the cumulative wear amount, that is, the cumulative wear amount accumulated from the time when the rechargeable battery is put into use to the predicted start time.
The failure index may be a preset limit value, for example, a certain value in the range of values of the rechargeable battery SOH. The remaining life is a remaining cumulative amount of the cumulative wear amount, and for example, the cumulative wear amount can be additionally accumulated in a range from the prediction start time to the time when the rechargeable battery fails. For example, the accumulated charge amount is set to the current lifetime, and the preset failure index is 20% of the initial capacity. For a rechargeable battery with a rated capacity of 1000Mah, the failure limit is 200Mah. After a long period of use, the accumulated charge amount is 10000Mah, the maximum storage capacity is 600Mah, that is, the attenuation amount of the maximum storage capacity is 400Mah. In this case, when the maximum accumulated capacity of the rechargeable battery is further attenuated by 400Mah, the failure limit of 200Mah is reached. Based on a simple linear mathematical model and according to the historical usage data of the battery, if the battery is required to attenuate 400Mah again, the accumulated charge of 10000Mah still needs to be accumulated additionally, so that the remaining usable life of the battery is 10000Mah.
In some embodiments, the method includes obtaining an estimated value of the total life of the rechargeable battery according to a current SOH, a current life, a degradation model, and a preset failure index;
obtaining corresponding SOH in the residual life range according to the current SOH, the current life, a degradation model and a preset failure index;
outputting planned replacement time according to at least one of seven indexes including current SOH, current life, degradation model, preset failure index, residual life, total life and corresponding SOH in the residual life range;
the total lifetime includes an accumulated cumulative wear from when the rechargeable battery is put into use until the SOH reaches a failure index;
the remaining life of the rechargeable battery further comprises a ratio of a remaining cumulative amount of accumulated wear amount to a total life, namely a ratio of accumulated wear amount to total life which can be additionally accumulated in a range from a prediction starting time to when the rechargeable battery fails;
the SOH corresponding to the remaining life range includes at least one SOH corresponding to a range from a prediction start time to a time when the rechargeable battery fails.
For rechargeable batteries, degradation occurs continuously since the rechargeable battery is put into use, and when the SOH value reaches a predetermined failure index, the corresponding cumulative loss can be regarded as the total lifetime, i.e. the cumulative loss accumulated from the time when the rechargeable battery is put into use until the SOH reaches the failure index. In addition to this, the remaining life may also include the remaining life in a relative sense, i.e. the ratio of the remaining cumulative amount of cumulative wear to the total life. For example, the cumulative wear that can be additionally accumulated is still 30%.
With the continuous use of rechargeable batteries, the accumulated wear and tear is continuously increased, so the invention takes the accumulated wear and tear as a life index. In the future, the rechargeable battery can continue to be used as long as the rechargeable battery has not failed, and thus, the accumulated wear amount thereof also continues to be accumulated. The SOH corresponding to the remaining life range includes at least one SOH corresponding to a range from a prediction start time to a time when the rechargeable battery fails. The description of "at least one" is employed herein and thus includes any one or more of the corresponding SOHs over the remaining life. The scheduled replacement time is output to prompt before the battery fails. For example, when the obtained remaining life is insufficient, the user needs to be reminded of replacing the rechargeable battery. Or, the ideal battery replacement time is calculated in advance to inform the user.
Fig. 2 is a flow chart of a rechargeable battery life prediction apparatus based on accumulated wear amounts according to some embodiments of the present disclosure. In some embodiments, the life prediction device comprises an accumulated consumption amount acquisition module, a key performance index acquisition module, a model acquisition module and a residual life prediction module.
The cumulative wear-out amount obtaining module 201 is configured to obtain or estimate the cumulative wear-out amount of the rechargeable battery as the current lifetime, for example, executing step 101.
The "obtaining or estimating" of the module includes, if the accumulated wear amount cannot be obtained due to a special situation, the module can estimate according to the historical data, which is not limited in this application.
The key performance indicator obtaining module 203 is configured to obtain or estimate the key performance indicator of the rechargeable battery as the current SOH, for example, executing step 103.
The "acquire or estimate" function of the module includes, if the key performance indicator cannot be acquired due to a specific situation, estimating the key performance indicator according to the historical data, which is not limited in this application.
In some embodiments, the accumulated wear-out amount acquired by the accumulated wear-out amount acquisition module includes at least one of an accumulated charge amount, an accumulated discharge amount, and an accumulated charge-discharge amount;
the accumulated consumption obtained by the accumulated consumption obtaining module comprises constant multiple mathematical transformation of at least one of accumulated charge quantity, accumulated discharge quantity and accumulated charge discharge quantity;
The key performance index acquired by the key performance index acquisition module comprises at least one of maximum storage capacity, attenuation of the maximum storage capacity, internal resistance of the battery and variation of the internal resistance of the battery;
the key performance index obtained by the key performance index obtaining module comprises constant multiple mathematical transformation of at least one of maximum storage capacity, attenuation of the maximum storage capacity, internal resistance of the battery and variation of the internal resistance of the battery;
the accumulated consumption amount acquired by the accumulated consumption amount acquisition module comprises at least one of accumulated work amount for normal running of the rechargeable battery power supply and consumption equipment and accumulated mileage for normal running of the rechargeable battery power supply and consumption equipment;
the accumulated consumption amount obtained by the accumulated consumption amount obtaining module comprises constant multiple mathematical transformation of at least one of accumulated workload of normal running of the rechargeable battery power supply and consumption equipment and accumulated mileage of normal running of the rechargeable battery power supply and consumption equipment;
the key performance index acquired by the key performance index acquisition module comprises at least one of the workload generated by the operation of power consumption equipment and the mileage generated by the running of the automobile, and the maximum storage capacity of the rechargeable battery;
The key performance index obtained by the key performance index obtaining module comprises the workload generated by the operation of power consumption equipment and the maximum storage capacity of the rechargeable battery, wherein the constant multiple mathematical transformation of at least one of mileage generated by the running of an automobile and the like is realized by the maximum storage capacity of the rechargeable battery.
The actual meaning of the accumulated wear amount will be described here by taking the accumulated charge amount as an example. The accumulated charge amount represents the amount of electricity accumulated by the rechargeable battery from the time of the start of use to the time of the prediction. The rechargeable battery is charged or discharged continuously from the start of its use, and the amount of electricity charged in each charging process is accumulated to obtain the required accumulated charge.
The maximum storage capacity is the maximum electric quantity charged in the charging process of the rechargeable battery, and the maximum storage capacity is continuously attenuated along with the use process of the rechargeable battery. Rechargeable batteries generally have rated indicators such as rated capacity and rated workload. In many application scenarios, the indexes such as the charge amount or the workload of the vehicle are obtained by normalizing the key performance indexes such as the charge amount or the workload according to the rated indexes. For example, the maximum storage capacity herein includes an absolute maximum storage capacity and also includes a relative maximum storage capacity obtained by dividing the maximum storage capacity by the rated capacity (i.e., a constant-constant multiple mathematical transformation).
Similarly, the accumulated wear amount may include constant multiple mathematical transformations of the accumulated charge amount, accumulated discharge amount, accumulated charge-discharge amount, and the like. For example, in some cases, an accumulated charge coefficient may be obtained by dividing the accumulated charge amount by the rated capacity of the rechargeable battery, and the accumulated charge coefficient is taken as the accumulated wear amount. The definition of constant multiple mathematical transformations relating to both the accumulated discharge amount and the accumulated charge-discharge amount is similar.
The decay amount of the maximum storage capacity indicates the decay of the maximum stored energy amount obtained as compared with the time when the rechargeable battery was just put into use. The method for obtaining the attenuation of the maximum storage capacity comprises the absolute attenuation obtained by subtracting the maximum storage capacity in the initial state from the current maximum storage capacity, and also comprises the absolute attenuation obtained by subtracting the rated capacity from the current maximum storage capacity, and the application is not limited in any way. In addition, the attenuation condition of the maximum stored energy includes the absolute attenuation amount of the maximum stored energy, and also includes the relative attenuation rate (i.e., a constant-constant multiple mathematical transformation) obtained by dividing the absolute attenuation amount by the rated capacity.
In addition, the internal resistance of the rechargeable battery also changes during the use process of the rechargeable battery, and the change amount of the internal resistance of the battery represents the change condition of the internal resistance of the rechargeable battery compared with the condition of the internal resistance of the rechargeable battery when the rechargeable battery is just put into use. The change condition of the internal resistance of the battery includes the absolute change amount of the resistance of the battery, and also includes the change rate obtained by dividing the absolute change amount by the initial resistance (namely, constant times mathematical transformation). For some power consuming devices, the amount of work accumulated or generated during use of the rechargeable battery can be very convenient to measure and obtain. For example, the maximum storage capacity of the rechargeable battery can be used for the workload generated by the operation of the power consumption equipment, and the maximum storage capacity of the rechargeable battery can be used for the mileage generated by the running of the automobile. Accumulated workload accumulated by normal running of the power consumption equipment supplied by the rechargeable battery and accumulated mileage accumulated by normal running of the automobile supplied by the rechargeable battery. The index is directly related to the performance of the rechargeable battery, so that the accumulated consumption can be obtained as a key performance index or through accumulation. The index is also suitable for the related definition of the rated index, constant multiple times of the constant multiple times.
The model acquisition module 205 is configured to acquire a degradation model of the rechargeable battery, for example, performing step 105.
The remaining life prediction module 207 is configured to predict an estimated value of the remaining life of the rechargeable battery according to the current SOH, the current life, the degradation model and a preset failure index, for example, to perform step 107.
In some embodiments, the model acquisition module acquires a function of a degradation model of the rechargeable battery, including acquiring a preset degradation model; acquiring historical use data of the rechargeable battery and constructing a degradation model; acquiring historical use data of other rechargeable batteries of the same type and constructing a degradation model;
the failure index is preset as a certain value in the SOH value range of the rechargeable battery in advance, and when the SOH reaches the index, the rechargeable battery fails;
the remaining life is a remaining cumulative amount of the cumulative wear amount, that is, the cumulative wear amount that can be additionally accumulated in a range from a prediction start time to when the rechargeable battery fails;
the current lifetime is a current value of the cumulative wear amount, that is, the cumulative wear amount accumulated from the time when the rechargeable battery is put into use to the predicted start time.
For rechargeable batteries, the degradation model can be preset, so that the degradation model can be directly obtained. Meanwhile, the degradation rule can be deduced from the historical use data of the rechargeable battery, so that a degradation model can be built in real time according to the historical data before the prediction process starts. In addition, the degradation model can be constructed by acquiring historical usage data of other types of rechargeable batteries. For example, data is collected by performing a charge and discharge test on the same type of rechargeable battery, or data on the use of the same type of rechargeable battery by other users is collected. The same type includes rechargeable batteries of the same type and also rechargeable batteries of the same manufacturing process and material.
The failure index may be a preset limit value, for example, a certain value in the range of values of the rechargeable battery SOH. The remaining life is a remaining cumulative amount of the cumulative wear amount, and for example, the cumulative wear amount can be additionally accumulated in a range from the prediction start time to the time when the rechargeable battery fails. For example, the accumulated charge amount is set to the current lifetime, and the preset failure index is 20% of the initial capacity. For a rechargeable battery with a rated capacity of 1000Mah, the failure limit is 200Mah. After a long period of use, the accumulated charge amount is 10000Mah, the maximum storage capacity is 600Mah, that is, the attenuation amount of the maximum storage capacity is 400Mah. In this case, when the maximum accumulated capacity of the rechargeable battery is further attenuated by 400Mah, the failure limit of 200Mah is reached. Based on a simple linear mathematical model and according to the historical usage data of the battery, if the battery is required to attenuate 400Mah again, the accumulated charge of 10000Mah still needs to be accumulated additionally, so that the remaining usable life of the battery is 10000Mah.
In some embodiments, the battery management system further comprises a total life prediction module configured to obtain an estimated value of the total life of the rechargeable battery according to the current SOH, the current life, the degradation model and a preset failure index;
The SOH prediction module is configured to obtain corresponding SOH in the residual life range according to the current SOH, the current life, the degradation model and a preset failure index;
the system further comprises a planning module, a control module and a control module, wherein the planning module is configured to output planned replacement time according to at least one of seven indexes including current SOH, current life, degradation model, preset failure indexes, residual life, total life and corresponding SOH in the residual life range;
the total lifetime includes an accumulated cumulative wear from when the rechargeable battery is put into use until the SOH reaches a failure index;
the remaining life of the rechargeable battery further comprises a ratio of a remaining cumulative amount of accumulated wear amount to a total life, namely a ratio of accumulated wear amount to total life which can be additionally accumulated in a range from a prediction starting time to when the rechargeable battery fails;
the SOH corresponding to the remaining life range includes at least one SOH corresponding to a range from a prediction start time to a time when the rechargeable battery fails.
For rechargeable batteries, degradation occurs continuously since the rechargeable battery is put into use, and when the SOH value reaches a predetermined failure index, the corresponding cumulative loss can be regarded as the total lifetime, i.e. the cumulative loss accumulated from the time when the rechargeable battery is put into use until the SOH reaches the failure index. In addition to this, the remaining life may also include the remaining life in a relative sense, i.e. the ratio of the remaining cumulative amount of cumulative wear to the total life. For example, the cumulative wear that can be additionally accumulated is still 30%.
With the continuous use of rechargeable batteries, the accumulated wear and tear is continuously increased, so the invention takes the accumulated wear and tear as a life index. In the future, the rechargeable battery can continue to be used as long as the rechargeable battery has not failed, and thus, the accumulated wear amount thereof also continues to be accumulated. The SOH corresponding to the remaining life range includes at least one SOH corresponding to a range from a prediction start time to a time when the rechargeable battery fails. The description of "at least one" is employed herein and thus includes any one or more of the corresponding SOHs over the remaining life. The scheduled replacement time is output to prompt before the battery fails. For example, when the obtained remaining life is insufficient, the user needs to be reminded of replacing the rechargeable battery. Or, the ideal battery replacement time is calculated in advance to inform the user.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
It should be noted that, in the present application, the steps may be executed simultaneously or in a certain preset order as long as the steps conform to the logic order, and fig. 1-2 are only schematic, and do not represent only such an execution order.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (8)
1. A method for predicting the life of a rechargeable battery based on accumulated wear and tear, the method comprising the steps of:
(1) Acquiring or estimating the accumulated wear quantity of the rechargeable battery as the current service life; the accumulated consumption comprises at least one of accumulated workload accumulated by normal running of the rechargeable battery power supply and consumption equipment and accumulated mileage of normal running of the rechargeable battery power supply and consumption equipment;
(2) Acquiring or estimating key performance indexes of the rechargeable battery as current SOH; the key performance index comprises at least one of the workload generated by the operation of the power consumption equipment and the mileage generated by the running of the automobile;
(3) The method for acquiring the degradation model of the rechargeable battery specifically comprises the following steps: before the prediction process starts, historical usage data of the rechargeable battery is obtained and a degradation model is constructed;
(4) Predicting an estimated value of the residual life of the rechargeable battery according to the current SOH, the current life, the degradation model and a preset failure index;
the degradation model adopts accumulated wear quantity as service life to describe the degradation process of the rechargeable battery;
the failure index is preset as a certain value in the SOH value range of the rechargeable battery in advance, and when the SOH reaches the index, the rechargeable battery fails;
The remaining life is a remaining cumulative amount of the cumulative wear amount, that is, the cumulative wear amount that can be additionally accumulated in a range from a prediction start time to when the rechargeable battery fails;
the current lifetime is a current value of the cumulative wear amount, that is, the cumulative wear amount accumulated from the time when the rechargeable battery is put into use to the predicted start time.
2. The method for predicting battery life based on accumulated wear-out of claim 1, wherein,
the accumulated consumption is specifically accumulated workload accumulated by normal running of the rechargeable battery power supply and consumption equipment, and constant multiple of at least one of accumulated mileage of the rechargeable battery power supply and the normal running of the automobile is transformed;
the key performance index is specifically that the maximum storage capacity of the rechargeable battery can be used for the work load generated by the operation of power consumption equipment, and the maximum storage capacity of the rechargeable battery can be used for the constant multiple mathematical transformation of at least one of mileage generated by the running of an automobile.
3. The method for predicting the life of a rechargeable battery based on an accumulated wear-out amount according to any one of claims 1 to 2, wherein the step of obtaining a degradation model of the rechargeable battery further comprises:
Before the prediction process starts, historical usage data of other types of rechargeable batteries is obtained and a degradation model is constructed.
4. The method for predicting the life of a rechargeable battery based on an accumulated wear amount according to claim 3,
obtaining an estimated value of the total service life of the rechargeable battery according to the current SOH, the current service life, a degradation model and a preset failure index;
obtaining corresponding SOH in the residual life range according to the current SOH, the current life, a degradation model and a preset failure index;
outputting planned replacement time according to at least one of the current SOH, the current life, a degradation model, preset failure indexes, residual life, total life and corresponding SOH seven indexes in the residual life range;
the total lifetime includes an accumulated cumulative wear from when the rechargeable battery is put into use until the SOH reaches a failure index;
the remaining life of the rechargeable battery further comprises a ratio of a remaining cumulative amount of accumulated wear amount to a total life, namely a ratio of accumulated wear amount to total life which can be additionally accumulated in a range from a prediction starting time to when the rechargeable battery fails;
The SOH corresponding to the remaining life range includes at least one SOH corresponding to a range from a prediction start time to a time when the rechargeable battery fails.
5. A rechargeable battery life prediction apparatus based on accumulated wear amount, comprising:
the accumulated wear-out amount acquisition module is configured to acquire or estimate the accumulated wear-out amount of the rechargeable battery as the current service life; the accumulated consumption amount acquired by the accumulated consumption amount acquisition module comprises at least one of accumulated work amount for normal running of the rechargeable battery power supply and consumption equipment and accumulated mileage for normal running of the rechargeable battery power supply and consumption equipment;
the key performance index acquisition module is configured to acquire or estimate a key performance index of the rechargeable battery as a current SOH; the key performance index acquired by the key performance index acquisition module comprises the workload generated by the operation of power consumption equipment and at least one of the mileage generated by the running of the automobile and the maximum storage capacity of the rechargeable battery;
a model acquisition module configured to acquire a degradation model of the rechargeable battery; the functions of the model acquisition module include: before the prediction process starts, historical usage data of the rechargeable battery is obtained and a degradation model is constructed;
The residual life prediction module is configured to predict an estimated value of the residual life of the rechargeable battery according to the current SOH, the current life, the degradation model and a preset failure index;
the degradation model adopts accumulated wear quantity as service life to describe the degradation process of the rechargeable battery;
the failure index is preset as a certain value in the SOH value range of the rechargeable battery in advance, and when the SOH reaches the index, the rechargeable battery fails;
the remaining life is a remaining cumulative amount of the cumulative wear amount, that is, the cumulative wear amount that can be additionally accumulated in a range from a prediction start time to when the rechargeable battery fails;
the current lifetime is a current value of the cumulative wear amount, that is, the cumulative wear amount accumulated from the time when the rechargeable battery is put into use to the predicted start time.
6. The apparatus for predicting battery life based on accumulated wear of claim 5,
the accumulated consumption obtained by the accumulated consumption obtaining module is specifically constant multiple mathematical transformation of at least one of accumulated workload of normal running of the rechargeable battery power supply and consumption equipment and accumulated mileage of normal running of the rechargeable battery power supply and consumption equipment;
The key performance index obtained by the key performance index obtaining module is specifically the work load generated by the operation of power consumption equipment and can be used for the maximum storage capacity of the rechargeable battery, and the maximum storage capacity of the rechargeable battery can be used for the constant multiple mathematical transformation of at least one of mileage generated by the running of an automobile.
7. A rechargeable battery life prediction apparatus according to any one of claims 5 to 6, wherein,
the function of the model acquisition module for acquiring the degradation model of the rechargeable battery may further include: before the prediction process starts, historical usage data of other types of rechargeable batteries is obtained and a degradation model is constructed.
8. The apparatus for predicting battery life based on accumulated wear of claim 7,
the system further comprises a total life prediction module, a total life prediction module and a control module, wherein the total life prediction module is configured to obtain an estimated value of the total life of the rechargeable battery according to the current SOH, the current life, the degradation model and a preset failure index;
the SOH prediction module is configured to obtain corresponding SOH in the residual life range according to the current SOH, the current life, the degradation model and a preset failure index;
The system further comprises a planning module, a service life control module and a service life control module, wherein the planning module is configured to output planned replacement time according to at least one of the current SOH, the current service life, a degradation model, preset failure indexes, residual service life, total service life and corresponding SOH seven indexes in the residual service life range;
the total lifetime includes an accumulated cumulative wear from when the rechargeable battery is put into use until the SOH reaches a failure index;
the remaining life of the rechargeable battery further comprises a ratio of a remaining cumulative amount of accumulated wear amount to a total life, namely a ratio of accumulated wear amount to total life which can be additionally accumulated in a range from a prediction starting time to when the rechargeable battery fails;
the SOH corresponding to the remaining life range includes at least one SOH corresponding to a range from a prediction start time to a time when the rechargeable battery fails.
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| CN202110798763.5A CN114460484B (en) | 2021-07-15 | 2021-07-15 | Rechargeable battery life prediction method and device based on accumulated wear quantity |
| PCT/CN2022/097748 WO2023284453A1 (en) | 2021-07-15 | 2022-06-09 | Cumulative consumption-based rechargeable battery life prediction method and apparatus, electronic device, and readable storage medium |
| US18/163,357 US20240054269A1 (en) | 2021-07-15 | 2023-02-02 | Method, device, electronic equipment and computer-readable storage medium for lifetime prognosis of rechargeable-battery based on cumulative-consumption-indicators |
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