CN115684726A - Sampling frequency self-adaptive insulation detection method and battery management system - Google Patents
Sampling frequency self-adaptive insulation detection method and battery management system Download PDFInfo
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Abstract
The invention discloses a sampling frequency self-adaptive insulation detection method and a battery management system, wherein the method comprises the following steps: in the unbalanced bridge circuit, the total voltage of a battery pack when an upper bridge arm and a lower bridge arm are both disconnected, a first voltage of a battery when the upper bridge arm is closed and the lower bridge arm is disconnected, and a second voltage of the battery when the upper bridge arm is closed and the lower bridge arm is closed are respectively obtained; performing mobility analysis on the first voltage and the second voltage of the battery, and obtaining the first voltage and the second voltage of the battery with qualified mobility by adjusting sampling frequency; and obtaining an insulation resistance according to the total voltage of the battery pack, the first voltage of the battery and the second voltage of the battery with qualified volatility, and comparing the insulation resistance with a preset threshold value of insulation damage to obtain an insulation detection result. A voltage sampling frequency self-adaptive algorithm is introduced, the sampling frequency of the voltage is self-adaptively adjusted according to the data fluctuation of the voltage, so that the battery voltage with qualified fluctuation is obtained, and the problem that the distributed capacitance influences the insulation detection precision of an unbalanced bridge method is solved.
Description
Technical Field
The invention relates to the technical field of battery energy storage and electric vehicle insulation detection, in particular to a sampling frequency self-adaptive insulation detection method and a battery management system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
At present, with the continuous improvement of the voltage grades of a battery energy storage system and an electric automobile, the voltage grade of the battery energy storage system is up to more than 1500V, and the voltage grade of the electric automobile is up to more than 900V. For safety reasons, high voltage battery systems require electrical isolation between the battery's overall positive and negative and the housing. When the insulation is damaged, a personal electric shock accident can occur, personal casualties can be caused in severe cases, short circuit, fire and even explosion of the battery pack are caused, and personal safety of operation and maintenance personnel of the energy storage system and passengers of the electric automobile is threatened. Therefore, the insulation state of the battery pack is monitored in real time, early warning information is timely sent out according to the monitoring result, and relevant protection processing is carried out, so that the method and the device have important significance for safe and stable operation of the electric automobile and the battery energy storage system.
At present, insulation detection methods mainly include a balanced bridge method, an unbalanced bridge method, a low-frequency alternating-current signal injection method, an active insulation resistance detection method and the like, wherein the unbalanced bridge method is widely applied due to the advantages of simple structure, high precision and the like.
In the detection process, when the voltage state is switched, the determined voltage sampling point exists in the transition process of charging and discharging of the capacitor, and the detection precision of the unbalanced bridge method can be greatly influenced by the phenomenon.
Patent CN112924829B discloses an insulation detecting device, which is provided with two resistors, and obtains the insulation state of a positive bus relative to a casing and a negative bus relative to the casing by measuring 3 voltage values. However, the scheme can only judge whether the positive bus and the negative bus are directly connected with the shell, and cannot calculate the accurate insulation resistance value.
Patent CN112684361B discloses a method, device and system for detecting insulation resistance of a battery, which obtains a voltage value change amount on a voltage test point by changing a resistance value of a variable resistor in an insulation detection device, and calculates insulation resistance of a positive bus and a negative bus relative to a housing. However, the waiting time of the scheme after the resistance value of the variable resistor is changed is a constant value, so that the accuracy of the detection result is very low in a system with a large Y capacitor; in a system with a small Y capacitor, the switching speed cannot be increased, so that the detection precision is greatly influenced by the total voltage fluctuation and is relatively low.
Disclosure of Invention
In order to solve the problems, the invention provides a sampling frequency self-adaptive insulation detection method and a battery management system, a voltage sampling frequency self-adaptive algorithm is introduced, the sampling frequency of voltage is self-adaptively adjusted according to the data fluctuation of the voltage, so that the battery voltage with qualified fluctuation is obtained, and the problem that the distributed capacitance influences the insulation detection precision of an unbalanced bridge method is solved.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides an insulation detection method with adaptive sampling frequency, including:
in the unbalanced bridge circuit, the total voltage of the battery pack when the upper bridge arm and the lower bridge arm are both disconnected, the first voltage of the battery when the upper bridge arm is closed and the lower bridge arm is disconnected, and the second voltage of the battery when the upper bridge arm is closed and the lower bridge arm is closed are respectively obtained;
performing mobility analysis on the first voltage and the second voltage of the battery, and obtaining the first voltage and the second voltage of the battery with qualified mobility by adjusting sampling frequency;
and obtaining an insulation resistance according to the total voltage of the battery pack, the first voltage of the battery with qualified volatility and the second voltage of the battery, and comparing the insulation resistance with an insulation damage preset threshold value to obtain an insulation detection result.
As an alternative embodiment, the volatility analysis comprises: and calculating the variance of the last two voltage data sampled in the first voltage and the second voltage of each group of batteries, and judging the value fluctuation according to the comparison and comparison result of the variance and the frequency regulation threshold value.
As an alternative embodiment, a first variance and a second variance of last two voltage data sampled in the first voltage and the second voltage of each group of cells are calculated, a first frequency adjustment threshold and a second frequency adjustment threshold are preset, if the first variance is smaller than the first frequency adjustment threshold or the second variance is smaller than the second frequency adjustment threshold, the value volatility is qualified, otherwise, the value volatility is unqualified.
As an alternative embodiment, the frequency adjustment threshold is: and obtaining the maximum allowable variance of the first voltage and the second voltage of the battery according to the specified fluctuation range of the insulation resistance and the maximum allowable fluctuation range of the first voltage and the second voltage of the battery, and taking the maximum allowable variance as a frequency regulation threshold value.
As an alternative embodiment, the maximum allowable fluctuation range is: obtaining the maximum allowable fluctuation range of the first voltage and the second voltage of the battery according to the specified fluctuation range of the insulation resistance, wherein the maximum allowable fluctuation range is +/-n percent, and the first voltage U of the battery p And a second voltage U of the battery n The corresponding maximum allowable fluctuation range is [ (1-n%) U p ～(1+n％)U p ]And [ (1-n%) U n ～(1+n％)U n ]。
As an alternative embodiment, a first insulation resistance between the positive bus and the vehicle body and a second insulation resistance between the negative bus and the vehicle body are obtained according to the total voltage of the battery pack, the first voltage of the battery with qualified volatility and the second voltage of the battery; and selecting the smaller value of the first insulation resistor and the second insulation resistor, and comparing the smaller value with the insulation damage preset threshold value to obtain an insulation detection result.
As an alternative implementation, if the first insulation resistance is smaller than the second insulation resistance and the first insulation resistance is smaller than the insulation damage preset threshold, the insulation is damaged;
if the first insulation resistance is smaller than the second insulation resistance and is larger than the insulation damage preset threshold value, the insulation is good;
if the second insulation resistance is smaller than the first insulation resistance and the second insulation resistance is smaller than the insulation damage preset threshold value, the insulation is damaged;
if the second insulation resistance is smaller than the first insulation resistance and the second insulation resistance is larger than the insulation damage preset threshold value, the insulation is good.
In a second aspect, the present invention provides an insulation detection system with adaptive sampling frequency, comprising:
the voltage acquisition module is configured to respectively acquire the total voltage of the battery pack when the upper bridge arm and the lower bridge arm are both disconnected, the first voltage of the battery when the upper bridge arm is closed and the lower bridge arm is disconnected, and the second voltage of the battery when the upper bridge arm is closed and the lower bridge arm is closed in the unbalanced bridge circuit;
the fluctuation analysis module is configured to perform fluctuation analysis on the first voltage and the second voltage of the battery, and the first voltage and the second voltage of the battery with qualified fluctuation are obtained by adjusting the sampling frequency;
and the insulation detection module is configured to obtain an insulation resistance according to the total voltage of the battery pack, the first voltage of the battery with qualified volatility and the second voltage of the battery, and compare the insulation resistance with a preset insulation damage threshold value to obtain an insulation detection result.
In a third aspect, the present invention provides an electronic device comprising a memory and a processor, and computer instructions stored on the memory and executed on the processor, wherein when the computer instructions are executed by the processor, the method of the first aspect is performed.
In a fourth aspect, the present invention provides a computer readable storage medium for storing computer instructions which, when executed by a processor, perform the method of the first aspect.
In a fifth aspect, the present invention provides a battery management system, including the sampling frequency adaptive insulation detection system of the second aspect.
Compared with the prior art, the invention has the following beneficial effects:
compared with the traditional unbalanced bridge method, the invention has the advantages that the insulation detection precision is not influenced by the distributed capacitance, the insulation resistance value can be accurately calculated, the real-time monitoring of the insulation state between the positive bus and the negative bus of the vehicle power battery pack and the vehicle body is realized, and the problem of lower accuracy of the detection result in the system with larger Y capacitance is solved.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are included to illustrate an exemplary embodiment of the invention and not to limit the invention.
Fig. 1 is a flowchart of an insulation detection method with adaptive sampling frequency according to embodiment 1 of the present invention;
fig. 2 is a circuit diagram of an unbalanced bridge according to embodiment 1 of the present invention;
FIG. 3 is a flow chart of numerical volatility analysis provided in example 1 of the present invention;
fig. 4 is a flowchart for determining a frequency adjustment threshold according to embodiment 1 of the present invention.
The specific implementation mode is as follows:
the invention is further explained by the following embodiments in conjunction with the drawings.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and it should be understood that the terms "comprises" and "comprising", and any variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiments and features of the embodiments of the invention may be combined with each other without conflict.
Example 1
As shown in fig. 1, the present embodiment provides an insulation detection method with adaptive sampling frequency, including:
s1: in the unbalanced bridge circuit, the total voltage of a battery pack when an upper bridge arm and a lower bridge arm are both disconnected, a first voltage of a battery when the upper bridge arm is closed and the lower bridge arm is disconnected, and a second voltage of the battery when the upper bridge arm is closed and the lower bridge arm is closed are respectively obtained;
s2: performing mobility analysis on the first voltage and the second voltage of the battery, and adjusting sampling frequency to obtain the first voltage and the second voltage of the battery with qualified mobility;
s3: and obtaining an insulation resistance according to the total voltage of the battery pack, the first voltage of the battery with qualified volatility and the second voltage of the battery, and comparing the insulation resistance with an insulation damage preset threshold value to obtain an insulation detection result.
As shown in fig. 2, the present embodiment previously constructs an unbalanced bridge circuit in which S 1 And S 2 Respectively an upper bridge arm change-over switch and a lower bridge arm change-over switch, R p And R n Respectively are insulation resistances between the positive bus and the vehicle body and between the negative bus and the vehicle body.
In the step S1, the method specifically includes:
s1-1: switching the upper arm of the bridge with unbalanced switching 1 And a lower bridge arm change-over switch S 2 All are disconnected;
s1-2: collecting total voltage U of battery pack 0 ；
S1-3: closing upper bridge arm change-over switch S 1 Simultaneously turn off the lower bridge arm change-over switch S 2 ；
S1-4: continuously collecting three batteries at voltage sampling point 1 in an equal time interval mannerA voltage U p ；
S1-5: disconnecting upper bridge arm change-over switch S 1 While closing the lower arm change-over switch S 2 ；
S1-6: continuously collecting second voltages U of the three batteries at voltage sampling points 1 in an equal time interval mode n 。
In the step S2, the method specifically includes: to U p And U n Carrying out numerical value fluctuation analysis, and calculating the insulation resistance if the numerical value fluctuation is qualified; if the numerical value fluctuation is unqualified, discarding the U of the current sampling 0 、U p 、U n And after the sampling frequency is adaptively adjusted, the U is continuously sampled 0 、U p 、U n Up to U p And U n The volatility of the (D) is qualified.
Preferably, as shown in fig. 3, the numerical volatility analysis includes:
s2-1: calculate each group U p And U n Variance a of last two voltage data of middle sampling p And A n ；
S2-2: calculating a frequency adjustment threshold S 1 And S 2 ；
S2-3: if A is p Less than S 1 Or A n Less than S 2 If so, the value fluctuation is qualified, otherwise, the value fluctuation is unqualified.
In the present embodiment, by grouping each group U p 、U n Variance A of last two voltage data of middle sample p 、A n Comparing with the corresponding maximum allowable variance, and finishing U according to the comparison result p And U n The maximum allowable variance is a frequency adjustment threshold;
in the step S2-1, the variance A p And A n The calculation process of (2) is as follows: each group of U is provided p 、U n The last two voltage data of the sample are U 1 、U 2 Then its variance is as shown in equation (1).
In the step S2-2, the insulation resistance R is subjected to sensitivity analysis according to the actual running of the electric automobile p And R n The requirement of volatility sets a frequency adjustment threshold; as shown in FIG. 4, the fluctuation range, U, is specified by determining the insulation resistance p And U n Allowable fluctuation range, U p And U n Maximum allowable variance, U p And U n Is used as a threshold for frequency adjustment.
The method comprises the following specific steps:
insulation resistance R when actual operation of electric automobile is set p 、R n The volatility requirement is a%, U p 、U n Being independent, the sensitivity expression is shown in equation (2).
Wherein T is a network function, and the network function T is R in the unbalanced bridge method p 、R n The calculation formula (2) is specifically as shown in formula (3).
Can be derived according to the above formula
Further, equation (5) is derived.
Simplified insulation resistance R p For parameter U p The sensitivity function of (2) is shown in equation (6).
Similarly, insulation resistance R p For parameter U n The sensitivity function of (2) is shown in equation (7).
Insulation resistance R n For parameter U p Is shown in equation (8).
Insulation resistance R n For parameter U n Is shown in equation (9).
And obtaining the corresponding relation between the relative offset of the insulation resistor and the relative offset of the voltage acquisition according to a relative offset formula, wherein the relative offset formula is shown as a formula (10).
At this time, according to the insulation resistance R p 、R n The volatility requires a%, U is obtained p And U n In order to more intuitively represent the fluctuation condition of data, after the maximum allowable fluctuation range of the voltage sampling value is obtained, the maximum allowable variance of the corresponding voltage sampling value is obtained;
that is, the maximum allowable fluctuation range is set to. + -. N%, U p And U n Is U p0 And U n0 Corresponds to U p And U n Has a maximum allowable fluctuation range of [ (1-n%) U p ～(1+n％)U p ]And [ (1-n%) U n ～(1+n％)U n ]According to U p 、(1-n％)U p 、(1+n％)U p And U n 、(1-n％)U n 、(1+n％)U n The determined variance, i.e. U p And U n Maximum allowable variance S of 1 And S 2 (ii) a If A p Is less than S 1 Or A n Is less than S 2 The data volatility is qualified, if A p Greater than S 1 Or A n Greater than S 2 The data volatility is not qualified.
In this embodiment, if the value fluctuation meets the requirement, it is indicated that the voltage sampling values of at least the second time and the third time are not in the transition process of charging and discharging of the capacitor, that is, the data acquired for the second time and the third time are available and can be used as the basis for calculating the insulation resistance;
if the numerical value fluctuation does not meet the requirement, the voltage sampling points acquired by at least two previous voltage acquisition are indicated in the transition process of capacitor charging and discharging, at the moment, all voltage data acquired by the current round of insulation detection are discarded, and the voltage sampling frequency is adjusted;
the charging and discharging process of the distributed capacitor can be avoided by reducing the sampling frequency or increasing the sampling interval, the sampling interval can be increased by 10ms in each round, the maximum sampling interval is generally not more than 200ms according to the requirement of actual working conditions, and the voltage sampling of the next round is carried out after the sampling frequency is reduced.
In the step S3, according to the collected U 0 、U p 、U n Obtaining the insulation resistance R between the positive and negative buses and the vehicle body p 、R n (ii) a Selective insulation resistance R p 、R n Smaller of R, will p 、R n The smaller value of the sum is taken as the insulation damage preset threshold value R 0 Comparing;
if R is present p ＜R n And R is p ＜R 0 When the insulation is damaged, a driver needs to be reminded to overhaul;
if R is present p ＜R n And R is p ＞R 0 The insulation is good, and the maintenance is not needed;
if R is present n ＜R p And R is n ＜R 0 When the insulation is damaged, a driver needs to be reminded to overhaul;
if R is present n ＜R p And R is n ＞R 0 The insulation is good, and the maintenance is not needed.
Example 2
The embodiment provides an insulation detection system with adaptive sampling frequency, which comprises:
the voltage acquisition module is configured to respectively acquire the total voltage of the battery pack when the upper bridge arm and the lower bridge arm are both disconnected, the first voltage of the battery when the upper bridge arm is closed and the lower bridge arm is disconnected, and the second voltage of the battery when the upper bridge arm is closed and the lower bridge arm is closed in the unbalanced bridge circuit;
the fluctuation analysis module is configured to perform fluctuation analysis on the first voltage and the second voltage of the battery, and the first voltage and the second voltage of the battery with qualified fluctuation are obtained by adjusting the sampling frequency;
and the insulation detection module is configured to obtain an insulation resistance according to the total voltage of the battery pack, the first voltage of the battery with qualified volatility and the second voltage of the battery, and compare the insulation resistance with a preset insulation damage threshold value to obtain an insulation detection result.
It should be noted that the modules correspond to the steps described in embodiment 1, and the modules are the same as the corresponding steps in the implementation examples and application scenarios, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above as part of a system may be implemented in a computer system such as a set of computer executable instructions.
In further embodiments, there is also provided:
a battery management system comprising the sampling frequency adaptive insulation detection system of embodiment 2.
An electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions when executed by the processor performing the method of embodiment 1. For brevity, no further description is provided herein.
It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include both read-only memory and random access memory, and may provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store device type information.
A computer readable storage medium storing computer instructions which, when executed by a processor, perform the method of embodiment 1.
The method in embodiment 1 may be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, among other storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and combines hardware thereof to complete the steps of the method. To avoid repetition, it is not described in detail here.
Those of ordinary skill in the art will appreciate that the various illustrative elements, i.e., algorithm steps, described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical 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 application.
The present invention has been described in terms of the preferred embodiment, and it is not intended to be limited to the embodiment. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (10)
1. A sampling frequency adaptive insulation detection method is characterized by comprising the following steps:
in the unbalanced bridge circuit, the total voltage of a battery pack when an upper bridge arm and a lower bridge arm are both disconnected, a first voltage of a battery when the upper bridge arm is closed and the lower bridge arm is disconnected, and a second voltage of the battery when the upper bridge arm is closed and the lower bridge arm is closed are respectively obtained;
performing mobility analysis on the first voltage and the second voltage of the battery, and adjusting sampling frequency to obtain the first voltage and the second voltage of the battery with qualified mobility;
and obtaining an insulation resistance according to the total voltage of the battery pack, the first voltage of the battery with qualified volatility and the second voltage of the battery, and comparing the insulation resistance with an insulation damage preset threshold value to obtain an insulation detection result.
2. The sampling frequency adaptive insulation detection method of claim 1, wherein the volatility analysis comprises: and calculating the variance of the last two voltage data sampled in the first voltage and the second voltage of each group of batteries, and judging the value fluctuation according to the comparison and comparison result of the variance and the frequency regulation threshold value.
3. The insulation detection method with the adaptive sampling frequency as claimed in claim 2, wherein a first variance and a second variance of the last two voltage data sampled in the first voltage and the second voltage of each group of batteries are calculated, a first frequency adjustment threshold and a second frequency adjustment threshold are preset, if the first variance is smaller than the first frequency adjustment threshold or the second variance is smaller than the second frequency adjustment threshold, the fluctuation of the value is qualified, otherwise, the fluctuation of the value is unqualified;
the frequency adjustment threshold is as follows: and obtaining the maximum allowable variance of the first voltage and the second voltage of the battery according to the specified fluctuation range of the insulation resistance and the maximum allowable fluctuation range of the first voltage and the second voltage of the battery, and taking the maximum allowable variance as a frequency regulation threshold value.
4. A sampling frequency adaptive insulation detection method according to claim 3, characterized in that the maximum allowable fluctuation range is: obtaining the maximum allowable fluctuation range of the first voltage and the second voltage of the battery according to the specified fluctuation range of the insulation resistance, wherein the maximum allowable fluctuation range is +/-n percent, and the first voltage U of the battery p And a second voltage U of the battery n The corresponding maximum allowable fluctuation range is [ (1-n%) U p ～(1+n％)U p ]And [ (1-n%) U n ～(1+n％)U n ]。
5. The insulation detection method with the self-adaptive sampling frequency as claimed in claim 1, wherein a first insulation resistance between the positive bus and the vehicle body and a second insulation resistance between the negative bus and the vehicle body are obtained according to the total voltage of the battery pack, the first voltage of the battery with qualified volatility and the second voltage of the battery; and selecting the smaller value of the first insulation resistor and the second insulation resistor, and comparing the smaller value with a preset insulation damage threshold value to obtain an insulation detection result.
6. The insulation detection method of claim 5, wherein if the first insulation resistance is smaller than the second insulation resistance and the first insulation resistance is smaller than a predetermined threshold of insulation damage, the insulation damage is detected;
if the first insulation resistance is smaller than the second insulation resistance and is larger than the insulation damage preset threshold value, the insulation is good;
if the second insulation resistance is smaller than the first insulation resistance and the second insulation resistance is smaller than the insulation damage preset threshold value, the insulation is damaged;
if the second insulation resistance is smaller than the first insulation resistance and is larger than the insulation damage preset threshold value, the insulation is good.
7. An insulation detection system with adaptive sampling frequency, comprising:
the voltage acquisition module is configured to respectively acquire the total voltage of the battery pack when the upper bridge arm and the lower bridge arm are both disconnected, the first voltage of the battery when the upper bridge arm is closed and the lower bridge arm is disconnected, and the second voltage of the battery when the upper bridge arm is closed and the lower bridge arm is closed in the unbalanced bridge circuit;
the fluctuation analysis module is configured to perform fluctuation analysis on the first voltage and the second voltage of the battery, and the first voltage and the second voltage of the battery with qualified fluctuation are obtained by adjusting the sampling frequency;
and the insulation detection module is configured to obtain an insulation resistance according to the total voltage of the battery pack, the first voltage of the battery with qualified volatility and the second voltage of the battery, and compare the insulation resistance with a preset insulation damage threshold value to obtain an insulation detection result.
8. A battery management system comprising the sampling frequency adaptive insulation detection system of claim 7.
9. An electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions when executed by the processor performing the method of any of claims 1-6.
10. A computer-readable storage medium storing computer instructions which, when executed by a processor, perform the method of any one of claims 1 to 6.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116488219A (en) * | 2023-04-13 | 2023-07-25 | 江苏果下科技有限公司 | Distributed energy storage acquisition strategy control method based on multi-level architecture |
| CN118090741A (en) * | 2024-04-17 | 2024-05-28 | 钛玛科（北京）工业科技有限公司 | Self-adaptive data acquisition method of sensor and light source for battery production |
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2022
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116488219A (en) * | 2023-04-13 | 2023-07-25 | 江苏果下科技有限公司 | Distributed energy storage acquisition strategy control method based on multi-level architecture |
| CN116488219B (en) * | 2023-04-13 | 2023-11-10 | 江苏果下科技有限公司 | Distributed energy storage acquisition strategy control method based on multi-level architecture |
| CN118090741A (en) * | 2024-04-17 | 2024-05-28 | 钛玛科（北京）工业科技有限公司 | Self-adaptive data acquisition method of sensor and light source for battery production |
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