CN109709485A - Fault detection method, device, medium and the electronic equipment of power battery - Google Patents
Fault detection method, device, medium and the electronic equipment of power battery Download PDFInfo
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Abstract
This disclosure relates to a kind of fault detection method of power battery, device, medium and electronic equipment.The described method includes: obtaining the voltage value of each single battery core in power battery when power battery operation, N group data are generated;Determine the smallest single battery core of voltage value in every group of data of the N group data;Determine that each single battery core is confirmed as the number Zhan of the smallest single battery core of voltage value and always organizes the first ratio of number N;Judge whether corresponding single battery core occurs short trouble according to first ratio.In this way, the comparison result of the voltage value of single battery core is added up on detection number, it is exaggerated the individual difference of single battery core, the problem of without the concern for voltage acquisition precision, improves the accuracy of power battery breakdown judge.
Description
Technical Field
The present disclosure relates to the field of vehicle detection, and in particular, to a method, an apparatus, a medium, and an electronic device for detecting a fault of a power battery.
Background
The power battery of the electric vehicle may have potential safety hazards caused by the abnormality of a certain single battery cell in the use process. This kind of potential safety hazard because of the individual problem of electric core arouses can lead to the deterioration of power battery performance, also can lure to generate heat out of control, and power battery can catch fire, burning, explosion when serious. If the electric vehicle fires frequently, the confidence of consumers in the electric vehicle is struck, and the development of the electric vehicle industry is hindered. Therefore, how to grasp the individual difference of the battery core and kill the safety accident of the power battery at an early stage so as to avoid thermal runaway becomes the key point of research.
One common cause of thermal runaway is internal short circuit, wherein a long time may pass from short circuit occurrence to thermal runaway occurrence of monomer cell micro short circuit, and the degree of influence of the monomer micro short circuit on the performance and safety of the battery pack gradually accumulates and expands along with the use of the power battery, and finally the battery pack is out of control. Cells with micro-shorts are characterized by a lower voltage during use than normal cells.
In the related art, a threshold value of the pressure difference of the whole vehicle can be set as a fault judgment standard. However, the method is limited by the inconsistency of the cells in the group and the limitation of data acquisition and transmission precision, and the method for judging the cell fault through the voltage has certain uncertainty and hysteresis and has larger error.
Disclosure of Invention
The purpose of the present disclosure is to provide an accurate and convenient fault detection method, apparatus, medium and electronic device for a power battery.
In order to achieve the above object, the present disclosure provides a method for detecting a fault of a power battery, the method including: acquiring a voltage value of each single battery cell in the power battery when the power battery runs, and generating N groups of data; determining the monomer battery cell with the minimum voltage value in each group of data of the N groups of data; determining a first ratio of the number of times that each single battery cell is determined to be the single battery cell with the minimum voltage value to the total group number N; and judging whether the corresponding single battery cell has a short-circuit fault according to the first ratio.
In this embodiment, whether the corresponding unit battery has a short-circuit fault is determined by the ratio at which the unit cells are determined to have the smallest voltage value. Therefore, the comparison result of the voltage values of the single battery cells is accumulated on the detection times, the individual difference of the single battery cells is amplified, the problem of voltage acquisition precision does not need to be considered, and the accuracy of power battery fault judgment is improved.
Optionally, the determining, according to the first ratio, whether a short-circuit fault occurs in a corresponding single battery cell includes: if the first ratio is larger than a preset first threshold value, determining that a short-circuit fault occurs in the corresponding single battery cell; if the first ratio is smaller than a preset second threshold value, determining that the corresponding single battery cell has no short-circuit fault; and if the first ratio is larger than the second threshold and smaller than the first threshold, determining that the corresponding single battery cell is suspected of short-circuit fault, wherein the first threshold is larger than the second threshold.
In this embodiment, the first ratio is divided into three intervals by presetting two thresholds: the judgment results which are larger than the preset first threshold, smaller than the preset second threshold, larger than the second threshold and smaller than the first threshold respectively correspond to short circuit, no short circuit and suspected short circuit, and are simple in calculation and high in reliability. In addition, the setting of the medium threshold value is independent of an electric core system in the power battery, so that the method has better universality.
Optionally, the determining, according to the first ratio, whether a short-circuit fault occurs in a corresponding single battery cell further includes: if a single battery cell is judged to be a suspected short-circuit fault single battery cell, acquiring a voltage value of each single battery cell when the power battery runs, and generating M groups of data; determining the monomer battery cell with the minimum voltage value in each group of data of the M groups of data; determining a second ratio of the number of times that each single battery cell is determined to be the single battery cell with the minimum voltage value to the total group number M; and judging whether the single battery cell suspected of short-circuit fault has short-circuit fault according to the second ratio.
In the embodiment, when the suspected short-circuited single battery cell is judged, the same method is continuously adopted for sampling to make further binary judgment, and the method is simple in calculation and high in reliability.
Optionally, the determining, according to the second ratio, whether the suspected short-circuit fault occurs in the single battery cell includes: and if the P second ratios generated for the next continuous P times are all larger than the second threshold value, determining that the single battery cell suspected of short-circuit fault has short-circuit fault.
In this way, when it is determined that there is a single cell suspected of being short-circuited, it is further confirmed from the viewpoint of statistical data.
Optionally, the determining, according to the second ratio, whether the suspected short-circuit fault occurs in the single battery cell includes: if the P second ratios generated for the next consecutive P times are all greater than a predetermined third threshold, determining that the suspected short-circuit fault single cell has a short-circuit fault, where the third threshold is greater than the second threshold and smaller than the first threshold; or if at least one of the P second ratios generated in the next consecutive P times is greater than the first threshold, determining that the suspected short-circuit fault occurs in the single cell.
In this way, when it is determined that there is a single cell suspected of being short-circuited, it is further confirmed from the viewpoint of statistical data.
The present disclosure also provides a fault detection device for a power battery. The device comprises: the first generation module is used for acquiring a voltage value of each single battery cell in the power battery when the power battery runs and generating N groups of data; the first determining module is used for determining the single battery cell with the minimum voltage value in each group of data of the N groups of data; the second determining module is used for determining a first ratio of the number of times that each single battery cell is determined to be the single battery cell with the minimum voltage value to the total group number N; and the judging module is used for judging whether the corresponding single battery cell has a short-circuit fault according to the first ratio.
In this embodiment, whether the corresponding unit battery has a short-circuit fault is determined by the ratio at which the unit cells are determined to have the smallest voltage value. Therefore, the comparison result of the voltage values of the single battery cells is accumulated on the detection times, the individual difference of the single battery cells is amplified, the problem of voltage acquisition precision does not need to be considered, and the accuracy of power battery fault judgment is improved.
Optionally, the determining module includes: the first judgment submodule is used for judging that the corresponding single battery cell has a short-circuit fault if the first ratio is larger than a preset first threshold value; the second judgment submodule is used for judging that the corresponding single battery cell does not have short-circuit fault if the first ratio is smaller than a preset second threshold value; and the third judgment submodule is configured to judge that the corresponding single battery cell is suspected of short-circuit fault if the first ratio is greater than the second threshold and smaller than the first threshold, where the first threshold is greater than the second threshold.
In this embodiment, the first ratio is divided into three intervals by presetting two thresholds: the judgment results which are larger than the preset first threshold, smaller than the preset second threshold, larger than the second threshold and smaller than the first threshold respectively correspond to short circuit, no short circuit and suspected short circuit, and are simple in calculation and high in reliability. In addition, the setting of the medium threshold value is independent of an electric core system in the power battery, so that the method has better universality.
Optionally, the determining module further includes: the generating submodule is used for acquiring a voltage value of each single battery cell when the power battery runs and generating M groups of data if the single battery cell is judged to be a suspected short-circuit fault single battery cell; the first determining submodule is used for determining the single battery cell with the minimum voltage value in each group of data of the M groups of data; the second determining submodule is used for determining a second ratio of the number of times that each single battery cell is determined to be the single battery cell with the minimum voltage value to the total group number M; and the fourth judgment submodule is used for judging whether the single battery cell suspected of short-circuit fault has the short-circuit fault according to the second ratio.
In the embodiment, when the suspected short-circuited single battery cell is judged, the same method is continuously adopted for sampling to make further binary judgment, and the method is simple in calculation and high in reliability.
The present disclosure also provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor, implements the steps of the above-mentioned fault detection method for a power battery provided by the present disclosure.
The present disclosure also provides an electronic device, comprising: a memory having a computer program stored thereon; and the processor is used for executing the computer program in the memory so as to realize the steps of the fault detection method of the power battery provided by the disclosure.
This is disclosed through gathering, the voltage value of every monomer electricity core in the on-vehicle power battery of control, carry out certain quantity's statistics to the monomer electricity core that the voltage value is minimum, regard as the frequency that the voltage value is minimum as the characteristic value, whether there is the judgement foundation of the individual trouble of electric core in the group battery as, thus, only pay close attention to the frequency that the monomer electricity core of minimum voltage value appears, do not care for specific voltage value, the problem of voltage acquisition precision and electric core uniformity has been walked around, and then can catch the information of the unusual monomer electricity core in the power battery as early as possible, the degree of accuracy and the precision of judgement have been promoted, can discover the trouble of monomer electricity core as early as possible, avoid the potential safety hazard.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow chart of a method for fault detection of a power cell provided in an exemplary embodiment;
FIG. 2 is a graphical illustration of a first ratio of statistics provided by an exemplary embodiment;
FIGS. 3-5 are diagrams of a second ratio of consecutive cubic statistics, respectively, as provided by an exemplary embodiment;
FIG. 6 is a block diagram of a power cell fault detection arrangement provided in an exemplary embodiment;
FIG. 7 is a block diagram of an electronic device provided by an exemplary embodiment.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a flowchart of a method for detecting a fault of a power battery according to an exemplary embodiment. As shown in fig. 1, the method may include the following steps.
In step S11, the voltage value of each cell in the power battery is obtained when the power battery is running, and N sets of data are generated.
The voltage value of each unit cell may be acquired periodically, for example, every 10 s. After the vehicle is flamed out, the acquired voltage value can be stored, and the next time the vehicle starts to operate, the acquired voltage value is continuously acquired until the N groups of data are acquired. N may be a relatively large integer, such as twenty thousand. The larger N is, the more accurate the conclusion is from the statistical point of view. For example, if the owner commutes to use the vehicle for 3 hours every day in 22 days on duty in one month, and the sampling period of the voltage value is 10s, the data that can be acquired in one month is 23760 groups.
Wherein the set of data includes a voltage value of each cell. For example, if the power battery includes 100 unit cells, the set of data includes 100 voltage values corresponding to each unit cell.
In step S12, the cell with the smallest voltage value in each group of data of the N groups of data is determined.
The cell with the minimum voltage value in each set of data may be set to include only one cell, so that N sets of data correspond to N cells with the minimum voltage value. For example, 100 unit cells are numbered from 1 to 100, and in twenty thousand groups of data, the unit cell with the smallest voltage value may be numbered as follows: 40. 50, 55, 50, 3 … … (twenty thousand).
The cell with the smallest voltage value in each set of data may also be set to include multiple cells. For example, two cell electric cores with the smallest voltage value in each set of data are determined.
In step S13, a first ratio of the number of times each cell is determined to be the cell whose voltage value is the smallest to the total number of groups N is determined.
For example, the cell with the number of 50 is determined as the cell with the smallest voltage value in 18000 groups of twenty thousand groups (N ═ 20000). The first ratio of the 50-numbered cell units is 18000 ÷ 20000 ═ 90%.
In step S14, it is determined whether a short-circuit fault occurs in the corresponding cell according to the first ratio.
If a cell is determined as the cell with the smallest voltage value, it may have a short-circuit fault. The more times that one cell is determined as the cell having the smallest voltage value, the greater the possibility that the cell will have a short-circuit fault. The larger the first ratio is, the higher the possibility of whether the corresponding cell has a short-circuit fault is. Therefore, whether the corresponding single battery cell has a short-circuit fault or not can be judged according to the first ratio.
According to the technical scheme, whether the corresponding single battery has the short-circuit fault or not is determined according to the ratio that the voltage value of the single battery cell is determined to be the minimum. Therefore, the comparison result of the voltage values of the single battery cells is accumulated on the detection times, the individual difference of the single battery cells is amplified, the problem of voltage acquisition precision does not need to be considered, and the accuracy of power battery fault judgment is improved.
In another embodiment, on the basis of fig. 1, the step of determining whether the corresponding cell electric core has the short-circuit fault according to the first ratio (step S14) may include the following steps:
if the first ratio is larger than a preset first threshold value, determining that the corresponding single battery cell has a short-circuit fault;
if the first ratio is smaller than a preset second threshold value, determining that the corresponding single battery cell has no short-circuit fault;
and if the first ratio is larger than a second threshold and smaller than a first threshold, determining that the corresponding single battery cell is suspected of short-circuit fault, wherein the first threshold is larger than the second threshold.
As described above, the larger the first ratio is, the higher the possibility of whether or not the corresponding cell has a short-circuit fault is. In this embodiment, the first ratio is divided into three intervals by presetting two thresholds: the judgment results which are larger than the preset first threshold, smaller than the preset second threshold, larger than the second threshold and smaller than the first threshold respectively correspond to short circuit, no short circuit and suspected short circuit, and are simple in calculation and high in reliability. In addition, the threshold value is set independently of the specific framework of an electric core system in the power battery, so that the method has better universality.
Wherein the first threshold and the second threshold may be obtained experimentally or empirically. For example, the first threshold may be 90%, the second threshold may be 50%, and if the first ratio of the cell numbered 50 is determined to be 60%, the cell is suspected to be short-circuited.
In yet another embodiment, a binary determination of a short circuit or no short circuit may be further performed on the suspected short-circuited single battery cell. In this embodiment, on the basis of the previous embodiment, the step of determining whether the corresponding cell electric core has the short-circuit fault according to the first ratio (step S14) may further include the following steps:
if a single battery cell is judged to be a suspected short-circuit fault single battery cell, acquiring a voltage value of each single battery cell when the power battery runs, and generating M groups of data;
determining the monomer battery cell with the minimum voltage value in each group of data of the M groups of data;
determining a second ratio of the number of times that each single battery cell is determined to be the single battery cell with the minimum voltage value to the total group number M;
and judging whether the single battery cell suspected of short-circuit fault has short-circuit fault according to the second ratio.
That is, when a single cell is suspected of short-circuiting, further determination may be performed to obtain M sets of data of the voltage value of each single cell again. And for distinguishing, the base number is the ratio of the M groups of data to the total groups of data, and the base number is the first ratio of the N groups of data.
There is no direct relationship between M and N, and M may be greater than, equal to, or less than N. Likewise, the larger M, the more accurate the determination result.
In the embodiment, when the suspected short-circuited single battery cell is judged, the same method is continuously adopted for sampling to make further binary judgment, and the method is simple in calculation and high in reliability.
In another embodiment, the step of determining whether the single cell suspected of having the short-circuit fault has the short-circuit fault according to the second ratio may include:
and if the P second ratios generated for the next continuous P times are all larger than the second threshold value, determining that the single battery cell suspected of short-circuit fault has the short-circuit fault.
That is, when a single cell is suspected of short-circuiting, the continuous anomaly determination mode is started, and M groups of data need to be sampled P times continuously. When the calculated P second ratios are all larger than the second threshold, it may be determined that the single cell suspected of the short-circuit fault has a short circuit. In this way, further confirmation was made from the viewpoint of statistical data.
In another embodiment, the step of determining whether the single cell suspected of having the short-circuit fault has the short-circuit fault according to the second ratio may include:
if all the P second ratios generated for the next consecutive P times are greater than a predetermined third threshold, it is determined that a single cell suspected of short-circuit fault has a short-circuit fault, where the third threshold is greater than the second threshold and smaller than the first threshold.
That is, when a single cell is suspected of short-circuiting, the continuous anomaly determination mode is started, and M groups of data need to be sampled P times continuously. When the P second ratios obtained by calculation are all larger than the third threshold, it may be determined that the single battery cell suspected of short-circuit fault has a short circuit. In this embodiment, the threshold condition for confirming a short circuit is lowered to a third threshold (less than the first threshold and greater than the second threshold), but the frequency requirement for P consecutive times is increased at the same time, so that confirmation is further performed from the viewpoint of statistical data.
In another embodiment, the step of determining whether the single cell suspected of having the short-circuit fault has the short-circuit fault according to the second ratio may include:
and if at least one of the P second ratios generated for the next continuous P times is larger than the first threshold value, determining that the single battery cell suspected of short-circuit fault has short-circuit fault.
That is, when a single cell is suspected of short-circuiting, the continuous anomaly determination mode is started, and M groups of data need to be sampled P times continuously. However, in the subsequent P-time collection process, as long as the second ratio is greater than the first threshold once, it may be determined that the single cell suspected of short-circuit failure has short-circuited, and the remaining number of times in P times may not be used.
For example, the power battery includes 100 unit battery cells, which are correspondingly numbered 1-100. FIG. 2 is a graphical illustration of a statistical first ratio provided by an exemplary embodiment. In fig. 2, the abscissa represents the number of the unit cells, and the ordinate represents the first ratio. The first ratio of the cell number 50 was 55%. Less than 90% of the first threshold value and greater than 50% of the second threshold value. The cell with the number of 50 may be determined to be a suspected short-circuited cell.
Fig. 3-5 are diagrams of a second ratio of consecutive cubic statistics, respectively, provided by an exemplary embodiment. In fig. 3 to 5, the second ratios of the cell number 50 reach 95%, 99%, and 94%, respectively, and exceed the second threshold value 50% (N ═ 3), and thus it can be determined that the cell number 50 has a short-circuit fault.
The present disclosure also provides a fault detection device for a power battery. Fig. 6 is a block diagram of a fault detection apparatus for a power battery according to an exemplary embodiment. As shown in fig. 6, the fault detection device 10 for a power battery may include a first generation module 11, a first determination module 12, a second determination module 13, and a judgment module 14.
The first generating module 11 is configured to obtain a voltage value of each single battery cell in the power battery when the power battery operates, and generate N sets of data.
The first determining module 12 is configured to determine a single battery cell with a minimum voltage value in each group of data of the N groups of data.
The second determining module 13 is configured to determine a first ratio of the number of times that each cell is determined as the cell with the smallest voltage value to the total number N of groups.
The judging module 14 is configured to judge whether a short-circuit fault occurs in the corresponding single battery cell according to the first ratio.
The first generation module 11 may periodically acquire the voltage value of each unit cell, for example, once every 10 s. After the vehicle is flamed out, the acquired voltage value can be stored, and the next time the vehicle starts to operate, the acquired voltage value is continuously acquired until the N groups of data are acquired. N may be a relatively large integer, such as twenty thousand. The larger N is, the more accurate the conclusion is from the statistical point of view.
The first determination module 12 sends the determined individual cell with the smallest voltage value to the second determination module 13. The second determining module 13 calculates a first ratio of the number of times of the single battery cells with the minimum voltage value to the total group number N.
Wherein the set of data includes a voltage value of each cell. For example, if the power battery includes 100 unit cells, the set of data includes 100 voltage values corresponding to each unit cell.
The cell with the minimum voltage value in each set of data may be set to include only one cell, so that N sets of data correspond to N cells with the minimum voltage value.
The cell with the smallest voltage value in each set of data may also be set to include multiple cells. For example, two cell electric cores with the smallest voltage value in each set of data are determined.
In the determination module 14, for example, the cell with the number of 50 is determined as the cell with the smallest voltage value in 18000 groups of data in twenty thousand groups (N ═ 20000). The first ratio of the 50-numbered cell units is 18000 ÷ 20000 ═ 90%.
If a single cell is determined as the single cell with the smallest voltage value, a short-circuit fault may occur. The more times that one cell is determined as the cell having the smallest voltage value, the greater the possibility that the cell will have a short-circuit fault. The larger the first ratio is, the higher the possibility of whether the corresponding cell has a short-circuit fault is. Therefore, the determination module 14 can determine whether the corresponding single battery cell has a short-circuit fault according to the first ratio.
According to the technical scheme, whether the corresponding single battery has the short-circuit fault or not is determined according to the ratio that the voltage value of the single battery cell is determined to be the minimum. Therefore, the comparison result of the voltage values of the single battery cells is accumulated on the detection times, the individual difference of the single battery cells is amplified, the problem of voltage acquisition precision does not need to be considered, and the accuracy of power battery fault judgment is improved.
Alternatively, the determination module 14 may include a first determination submodule, a second determination submodule, and a third determination submodule.
The first judgment submodule is used for judging that the corresponding single battery cell has a short-circuit fault if the first ratio is larger than a preset first threshold value.
And the second judgment submodule is used for judging that the corresponding single battery cell has no short-circuit fault if the first ratio is smaller than a preset second threshold value.
The third judgment submodule is used for judging the suspected short-circuit fault of the corresponding single battery cell if the first ratio is larger than the second threshold and smaller than the first threshold, wherein the first threshold is larger than the second threshold.
In this embodiment, the first ratio is divided into three intervals by presetting two thresholds: the judgment results which are larger than the preset first threshold, smaller than the preset second threshold, larger than the second threshold and smaller than the first threshold respectively correspond to short circuit, no short circuit and suspected short circuit, and are simple in calculation and high in reliability. The first judgment submodule, the second judgment submodule and the third judgment submodule are respectively divided into three sections corresponding to the first ratio. In addition, the setting of the medium threshold value is independent of an electric core system in the power battery, so that the method has better universality.
Wherein the first threshold and the second threshold may be obtained experimentally or empirically. For example, the first threshold may be 90%, the second threshold may be 50%, and if the first ratio of the cell numbered 50 is determined to be 60%, the cell is suspected to be short-circuited.
Optionally, the determining module 14 may further include a generating sub-module, a first determining sub-module, a second determining sub-module, and a fourth determining sub-module.
The generating submodule is used for acquiring a voltage value of each single battery cell when the power battery runs and generating M groups of data if the single battery cell is judged to be a suspected short-circuit fault single battery cell.
The first determining submodule is used for determining the single battery cell with the minimum voltage value in each group of data of the M groups of data.
The second determining submodule is used for determining a second ratio of the number of times that each single battery cell is determined to be the single battery cell with the minimum voltage value to the total group number M.
And the fourth judgment submodule is used for judging whether the single battery cell suspected of short-circuit fault has the short-circuit fault according to the second ratio.
When the single battery cells are suspected to be short-circuited, further judgment can be carried out, and the generation submodule can reacquire M groups of data of the voltage value of each single battery cell. The first determining sub-module determines the ratio of the number of times of the single battery cells with the minimum voltage value to the total number of the battery cells by using the same method as the method, and for distinguishing, the second determining sub-module uses the base number as the M group data to obtain a second ratio, and the base number as the N group data to obtain a first ratio.
There is no direct relationship between M and N, and M may be greater than, equal to, or less than N. Likewise, the larger M, the more accurate the determination result.
In the embodiment, when the suspected short-circuited single battery cell is judged, the same method is continuously adopted for sampling to make further binary judgment, and the method is simple in calculation and high in reliability.
Optionally, the fourth determination submodule may include a fifth determination submodule.
And the fifth judgment submodule is used for judging that the single battery cell suspected of short-circuit fault has the short-circuit fault if the P second ratios generated for the next continuous P times are all larger than the second threshold value.
When a single battery cell is suspected to be short-circuited, a continuous abnormity judgment mode is started, and M groups of data need to be sampled continuously for P times. When the P second ratios obtained by calculation are all larger than the second threshold, the fifth judgment sub-module may judge that the single battery cell suspected of the short-circuit fault has a short circuit. In this way, when it is determined that there is a single cell suspected of being short-circuited, it is further confirmed from the viewpoint of statistical data.
Optionally, the fourth determination submodule may include a sixth determination submodule or a seventh determination submodule.
The sixth judgment submodule is used for judging that the single battery cell suspected of short-circuit fault has the short-circuit fault if the P second ratios generated for the next consecutive P times are all larger than a preset third threshold value. And the third threshold is larger than the second threshold and smaller than the first threshold.
The seventh judging submodule is used for judging that the single battery cell suspected of short-circuit fault has short-circuit fault if at least one second ratio in the P second ratios generated for the next consecutive P times is larger than the first threshold value.
When a single battery cell is suspected to be short-circuited, a continuous abnormity judgment mode is started, and M groups of data need to be sampled continuously for P times. When the P second ratios obtained by calculation are all larger than the third threshold, the sixth judgment sub-module may determine that the single battery cell suspected of the short-circuit fault has a short circuit. In this embodiment, the threshold condition for confirming a short is reduced to a third threshold (less than the first threshold and greater than the second threshold) but at the same time the frequency requirement for P consecutive times is increased.
Or, in the subsequent P-time collection process, as long as the second ratio is greater than the first threshold once, the seventh determining sub-module may determine that the single cell suspected of having the short-circuit fault is short-circuited, and may not continue for the remaining number of times in P times.
In this way, when it is determined that there is a single cell suspected of being short-circuited, it is further confirmed from the viewpoint of statistical data.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 7 is a block diagram illustrating an electronic device 700 in accordance with an example embodiment. As shown in fig. 7, the electronic device 700 may include: a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input/output (I/O) interface 704, and a communication component 705.
The processor 701 is configured to control the overall operation of the electronic device 700, so as to complete all or part of the steps in the fault detection method. The memory 702 is used to store various types of data to support operation at the electronic device 700, such as instructions for any application or method operating on the electronic device 700 and application-related data, such as contact data, transmitted and received messages, pictures, audio, video, and the like. The Memory 702 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia components 703 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 702 or transmitted through the communication component 705. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 704 provides an interface between the processor 701 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, which is not limited herein. The corresponding communication component 707 can therefore include: Wi-Fi module, Bluetooth module, NFC module, etc.
In an exemplary embodiment, the electronic Device 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described fault detection method.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the above-described fault detection method is also provided. For example, the computer readable storage medium may be the memory 702 described above including program instructions that are executable by the processor 701 of the electronic device 700 to perform the fault detection method described above.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (10)
1. A method for detecting a fault of a power battery, the method comprising:
acquiring a voltage value of each single battery cell in the power battery when the power battery runs, and generating N groups of data;
determining the monomer battery cell with the minimum voltage value in each group of data of the N groups of data;
determining a first ratio of the number of times that each single battery cell is determined to be the single battery cell with the minimum voltage value to the total group number N;
and judging whether the corresponding single battery cell has a short-circuit fault according to the first ratio.
2. The method of claim 1, wherein the determining whether the corresponding cell electric core has a short-circuit fault according to the first ratio includes:
if the first ratio is larger than a preset first threshold value, determining that a short-circuit fault occurs in the corresponding single battery cell;
if the first ratio is smaller than a preset second threshold value, determining that the corresponding single battery cell has no short-circuit fault;
and if the first ratio is larger than the second threshold and smaller than the first threshold, determining that the corresponding single battery cell is suspected of short-circuit fault, wherein the first threshold is larger than the second threshold.
3. The method according to claim 2, wherein the determining whether the corresponding cell electric core has a short-circuit fault according to the first ratio further includes:
if a single battery cell is judged to be a suspected short-circuit fault single battery cell, acquiring a voltage value of each single battery cell when the power battery runs, and generating M groups of data;
determining the monomer battery cell with the minimum voltage value in each group of data of the M groups of data;
determining a second ratio of the number of times that each single battery cell is determined to be the single battery cell with the minimum voltage value to the total group number M;
and judging whether the single battery cell suspected of short-circuit fault has short-circuit fault according to the second ratio.
4. The method of claim 3, wherein the determining whether the suspected short-circuit-failed cell has a short-circuit fault according to the second ratio includes:
and if the P second ratios generated for the next continuous P times are all larger than the second threshold value, determining that the single battery cell suspected of short-circuit fault has short-circuit fault.
5. The method of claim 3, wherein the determining whether the suspected short-circuit-failed cell has a short-circuit fault according to the second ratio includes:
if the P second ratios generated for the next consecutive P times are all greater than a predetermined third threshold, determining that the suspected short-circuit fault single cell has a short-circuit fault, where the third threshold is greater than the second threshold and smaller than the first threshold;
or,
if at least one of the P second ratios generated for the next consecutive P times is greater than the first threshold, it is determined that the single cell suspected of having the short-circuit fault has the short-circuit fault.
6. A fault detection device for a power battery, the device comprising:
the first generation module is used for acquiring a voltage value of each single battery cell in the power battery when the power battery runs and generating N groups of data;
the first determining module is used for determining the single battery cell with the minimum voltage value in each group of data of the N groups of data;
the second determining module is used for determining a first ratio of the number of times that each single battery cell is determined to be the single battery cell with the minimum voltage value to the total group number N;
and the judging module is used for judging whether the corresponding single battery cell has a short-circuit fault according to the first ratio.
7. The apparatus of claim 6, wherein the determining module comprises:
the first judgment submodule is used for judging that the corresponding single battery cell has a short-circuit fault if the first ratio is larger than a preset first threshold value;
the second judgment submodule is used for judging that the corresponding single battery cell does not have short-circuit fault if the first ratio is smaller than a preset second threshold value;
and the third judgment submodule is configured to judge that the corresponding single battery cell is suspected of short-circuit fault if the first ratio is greater than the second threshold and smaller than the first threshold, where the first threshold is greater than the second threshold.
8. The apparatus of claim 7, wherein the determining module further comprises:
the generating submodule is used for acquiring a voltage value of each single battery cell when the power battery runs and generating M groups of data if the single battery cell is judged to be a suspected short-circuit fault single battery cell;
the first determining submodule is used for determining the single battery cell with the minimum voltage value in each group of data of the M groups of data;
the second determining submodule is used for determining a second ratio of the number of times that each single battery cell is determined to be the single battery cell with the minimum voltage value to the total group number M;
and the fourth judgment submodule is used for judging whether the single battery cell suspected of short-circuit fault has the short-circuit fault according to the second ratio.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
10. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 5.
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110852422A (en) * | 2019-11-12 | 2020-02-28 | 吉林大学 | Convolutional neural network optimization method and device based on pulse array |
CN111157911A (en) * | 2019-12-30 | 2020-05-15 | 北京四维智联科技有限公司 | Method, device and equipment for predicting excessive voltage difference of battery pack |
CN112561094A (en) * | 2020-12-21 | 2021-03-26 | 交控科技股份有限公司 | Train stop fault analysis method and device and electronic equipment |
WO2022001197A1 (en) * | 2020-06-30 | 2022-01-06 | 宁德时代新能源科技股份有限公司 | Method and apparatus for detecting short circuit fault in battery cell, and device and medium |
CN114839556A (en) * | 2022-05-10 | 2022-08-02 | 中国第一汽车股份有限公司 | Power battery abnormality detection method, power battery abnormality detection device, storage medium, and electronic device |
WO2024045502A1 (en) * | 2022-08-31 | 2024-03-07 | 岚图汽车科技有限公司 | Battery voltage acquisition fault early warning method and system |
WO2024179255A1 (en) * | 2023-03-01 | 2024-09-06 | 比亚迪股份有限公司 | Self-discharge battery-cell identification method and apparatus |
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102565611A (en) * | 2011-12-27 | 2012-07-11 | 惠州市亿能电子有限公司 | Internal short-circuit detection method of power battery |
US20160047853A1 (en) * | 2014-08-18 | 2016-02-18 | Samsung Electronics Co., Ltd. | Test system that performs simultaneous tests of multiple test units |
CN106556802A (en) * | 2016-11-01 | 2017-04-05 | 东软集团股份有限公司 | A kind of accumulator battery exception cell recognition methodss and device |
CN107843802A (en) * | 2017-10-23 | 2018-03-27 | 北京小米移动软件有限公司 | Internal short-circuit detection method and device |
CN108241102A (en) * | 2016-12-23 | 2018-07-03 | 华为技术有限公司 | A kind of detection method and device of battery micro-short circuit |
-
2019
- 2019-02-01 CN CN201910105248.7A patent/CN109709485A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102565611A (en) * | 2011-12-27 | 2012-07-11 | 惠州市亿能电子有限公司 | Internal short-circuit detection method of power battery |
US20160047853A1 (en) * | 2014-08-18 | 2016-02-18 | Samsung Electronics Co., Ltd. | Test system that performs simultaneous tests of multiple test units |
CN106556802A (en) * | 2016-11-01 | 2017-04-05 | 东软集团股份有限公司 | A kind of accumulator battery exception cell recognition methodss and device |
CN108241102A (en) * | 2016-12-23 | 2018-07-03 | 华为技术有限公司 | A kind of detection method and device of battery micro-short circuit |
CN107843802A (en) * | 2017-10-23 | 2018-03-27 | 北京小米移动软件有限公司 | Internal short-circuit detection method and device |
Non-Patent Citations (1)
Title |
---|
李国欣: "《新型化学电源技术概论》", 31 May 2007, 上海科学技术出版社 * |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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CN110852422B (en) * | 2019-11-12 | 2022-08-16 | 吉林大学 | Convolutional neural network optimization method and device based on pulse array |
CN111157911A (en) * | 2019-12-30 | 2020-05-15 | 北京四维智联科技有限公司 | Method, device and equipment for predicting excessive voltage difference of battery pack |
CN111157911B (en) * | 2019-12-30 | 2022-03-18 | 北京四维智联科技有限公司 | Method, device and equipment for predicting excessive voltage difference of battery pack |
WO2022001197A1 (en) * | 2020-06-30 | 2022-01-06 | 宁德时代新能源科技股份有限公司 | Method and apparatus for detecting short circuit fault in battery cell, and device and medium |
US11614494B2 (en) | 2020-06-30 | 2023-03-28 | Contemporary Amperex Technology Co., Limited | Method, apparatus, device and medium for detecting internal short-circuit fault of battery cell |
CN112561094A (en) * | 2020-12-21 | 2021-03-26 | 交控科技股份有限公司 | Train stop fault analysis method and device and electronic equipment |
CN114839556A (en) * | 2022-05-10 | 2022-08-02 | 中国第一汽车股份有限公司 | Power battery abnormality detection method, power battery abnormality detection device, storage medium, and electronic device |
CN114839556B (en) * | 2022-05-10 | 2024-10-11 | 中国第一汽车股份有限公司 | Power battery abnormality detection method and device, storage medium and electronic device |
WO2024045502A1 (en) * | 2022-08-31 | 2024-03-07 | 岚图汽车科技有限公司 | Battery voltage acquisition fault early warning method and system |
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WO2024189850A1 (en) * | 2023-03-15 | 2024-09-19 | 株式会社東芝 | Information processing device, information processing method, program, and information processing system |
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