CN116027203A - Method and device for detecting battery short-circuit fault - Google Patents
Method and device for detecting battery short-circuit fault Download PDFInfo
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- CN116027203A CN116027203A CN202310082190.5A CN202310082190A CN116027203A CN 116027203 A CN116027203 A CN 116027203A CN 202310082190 A CN202310082190 A CN 202310082190A CN 116027203 A CN116027203 A CN 116027203A
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Abstract
The application provides a method and a device for detecting a battery short-circuit fault, wherein the method comprises the following steps: after the equivalent circuit model of the battery to be detected and the input current and the actual terminal voltage of the battery to be detected at the current moment are obtained, the open-circuit voltage of the battery to be detected can be determined according to the historical input current of the battery to be detected, the circuit parameters of the equivalent circuit model are determined according to the input current, the actual terminal voltage and the open-circuit voltage, then the residual error value corresponding to the input current is determined according to the circuit parameters, and whether the battery to be detected is short-circuited is determined according to the residual error value. Therefore, the residual value at the current moment is dynamically determined according to the circuit parameter change, and the accuracy of detecting the short-circuit fault of the battery is improved.
Description
Technical Field
The disclosure relates to the field of battery fault diagnosis, and in particular relates to a method and a device for detecting a battery short-circuit fault.
Background
With the gradual focus of energy problems, the great development of new energy has become an important measure for solving the energy problems. Due to randomness and fluctuation of new energy, the new energy power generation station needs to be configured with a certain capacity for storing energy to consume new energy resources. The lithium ion battery becomes the first choice for energy storage due to the advantages of high energy density, small volume and the like. However, as the battery ages, the probability of a battery short-circuit failure increases greatly, and safety accidents such as fire are easily caused. Therefore, a method for accurately detecting the short-circuit fault of the lithium ion battery is needed.
Disclosure of Invention
The disclosure provides a method and a device for detecting a battery short-circuit fault. The specific scheme is as follows:
an embodiment of an aspect of the present disclosure provides a method for detecting a short-circuit fault of a battery, including:
acquiring an equivalent circuit model of a battery to be detected, and acquiring an input current and an actual terminal voltage of the battery to be detected at the current moment;
determining the open-circuit voltage of the battery to be detected according to the historical input current of the battery to be detected;
determining circuit parameters of the equivalent circuit model according to the input current, the actual terminal voltage and the open circuit voltage;
determining a residual error value corresponding to the input current according to the circuit parameters;
and determining whether the battery to be detected is short-circuited or not according to the residual error value.
Another embodiment of the present disclosure provides a device for detecting a battery short-circuit fault, including:
the acquisition module is used for acquiring an equivalent circuit model of the battery to be detected, and input current and actual terminal voltage of the battery to be detected at the current moment;
the first determining module is used for determining the open-circuit voltage of the battery to be detected according to the historical input current of the battery to be detected;
the second determining module is used for determining circuit parameters of the equivalent circuit model according to the input current, the actual terminal voltage and the open circuit voltage;
the third determining module is used for determining a residual error value corresponding to the input current according to the circuit parameters;
and the fourth determining module is used for determining whether the battery to be detected is short-circuited or not according to the residual error value.
Another embodiment of the present disclosure provides a computer device comprising a processor and a memory;
wherein the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory for implementing the method as in the above embodiment.
Another aspect of the present disclosure provides a computer-readable storage medium having stored thereon a computer program, characterized in that the program, when executed by a processor, implements the method of the above embodiments.
Additional aspects and advantages of the disclosure 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 disclosure.
Drawings
The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a schematic flow chart of a method for detecting a battery short-circuit fault according to an embodiment of the disclosure;
FIG. 2 is a schematic diagram of an equivalent circuit provided by an embodiment of the present disclosure;
fig. 3 is a flow chart of another method for detecting a short-circuit fault of a battery according to an embodiment of the disclosure;
fig. 4 is a schematic diagram of an equivalent circuit in a short-circuit fault state provided by an embodiment of the present disclosure;
fig. 5 is a flowchart illustrating another method for detecting a battery short-circuit fault according to an embodiment of the disclosure;
fig. 6 is a schematic structural diagram of a device for detecting a battery short-circuit fault according to an embodiment of the disclosure.
Detailed Description
Embodiments of the present disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present disclosure and are not to be construed as limiting the present disclosure.
In the disclosure, according to an equivalent circuit model of a battery to be detected, and an input current, an actual terminal voltage and an open-circuit voltage of the battery to be detected at the current moment, determining circuit parameters of the equivalent circuit model, and determining a residual error value corresponding to the input current according to the circuit parameters, so as to determine whether the battery to be detected is shorted according to the residual error value. Therefore, the residual value at the current moment is dynamically determined according to the circuit parameter change, and the accuracy of detecting the short-circuit fault of the battery is improved.
The method of detecting a battery short-circuit fault according to the embodiment of the present disclosure is described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of a method for detecting a battery short-circuit fault according to an embodiment of the disclosure.
The detection method of the battery short-circuit fault is executed by the detection device of the battery short-circuit fault (hereinafter referred to as detection device) provided by the embodiment of the disclosure, and the device can be configured in computer equipment and terminal equipment to detect the battery short-circuit fault and improve the accuracy of detecting the battery short-circuit fault.
As shown in fig. 1, the method for detecting a short-circuit fault of a battery includes:
In the disclosure, the equivalent circuit and the equivalent circuit model corresponding to the battery to be detected may be preset in the system, and then the equivalent circuit model of the battery to be detected may be obtained. In addition, the battery to be detected can be monitored to acquire the input current and the actual terminal voltage of the battery to be detected in real time.
The equivalent circuit is shown in fig. 2, and an equivalent circuit model corresponding to the equivalent circuit is as follows:
V t ＝V oc -V c -R 0 I t
wherein: i t Represents the input current at time t, V c Representing the capacitance voltage, V oc Indicating the open circuit voltage of the battery to be detected,
conductivity indicating capacitance voltageNumber, R 0 Identifying the internal resistance of the battery to be detected, R p Representing internal resistance of polarization, C p Representing the polarization capacitance.
In the present disclosure, the open circuit voltage may be determined according to the state of charge of the battery to be measured. Where state of charge is the ratio between the current battery capacity and the fully charged battery capacity, SOC is described as the remaining battery capacity and is expressed in percent. The state of charge can be estimated using the following formula:
SOC＝SOC 0 +η∫I t dt
wherein SOC represents state of charge, SOC 0 Is the value of the initial SOC, C n Is the maximum capacity of the battery. SOC (State of Charge) 0 And C n May be preset in the system.
And step 103, determining circuit parameters of the equivalent circuit model according to the input current, the actual terminal voltage and the open circuit voltage.
In the present disclosure, the circuit parameters of the equivalent circuit model may be determined by an arbitrary circuit parameter calculation method based on the input current, the actual terminal voltage, and the open circuit voltage. Wherein the circuit parameter includes R 0 、R p 、C p 。
In the disclosure, a residual signal corresponding to an input current may be detected by using a preset state observer according to a circuit parameter, so as to output a residual value corresponding to the residual signal.
In the present disclosure, a residual value is input to a preset fault diagnosis model to output a residual derivative. And then, determining whether the battery to be detected is short-circuited according to the residual derivative. The residual derivative is a derivative corresponding to the residual value. The fault diagnosis model is a correlation function of residual values, residual derivatives and fault parameters. The fault parameters can be preset in the system, or the fault parameters corresponding to the current moment can be updated in real time according to the residual error value sequence in the latest historical time period. So as to improve the accuracy of detecting the short-circuit fault of the battery.
In the disclosure, after an equivalent circuit model of a battery to be detected and an input current and an actual terminal voltage of the battery to be detected at the current moment are obtained, an open circuit voltage of the battery to be detected can be determined according to a historical input current of the battery to be detected, circuit parameters of the equivalent circuit model are determined according to the input current, the actual terminal voltage and the open circuit voltage, then a residual error value corresponding to the input current is determined according to the circuit parameters, and whether the battery to be detected is short-circuited is determined according to the residual error value. Therefore, the residual value at the current moment is dynamically determined according to the circuit parameter change, and the accuracy of detecting the short-circuit fault of the battery is improved.
Fig. 3 is a flow chart of a method for detecting a battery short-circuit fault according to an embodiment of the disclosure.
As shown in fig. 3, the method for detecting a short-circuit fault of a battery includes:
In the present disclosure, the specific implementation process of step 301 to step 303 may refer to the detailed description of any embodiment of the present disclosure, which is not repeated herein.
In the disclosure, a preset state model may be converted based on an equivalent circuit model, and model parameters of the state model corresponding to the equivalent circuit model may be determined. Wherein the model parameters are represented by circuit parameters. Therefore, model parameters can be determined based on the circuit parameters, so that a state model corresponding to the equivalent circuit model can be determined.
For example, the state model is as follows:
y＝Cx+Du
wherein x represents a state variable,
representing the derivative of the state variable, u representing the model input, y representing the model output, A, B, C, D being the model parameter of the state model. In the equivalent circuit model, < >>
u＝I t 。
The equivalent circuit model is brought into the state model, and the state model is converted into:
thereby, the circuit parameter R determined by step 203 is to be determined 0 、R p 、C p Substituting the state model to obtain the state model corresponding to the equivalent circuit model.
In the disclosure, a correlation function corresponding to a residual derivative, a residual value and a short-circuit parameter may be preset in the system, and then the correlation function may be integrated to obtain the correlation function corresponding to the residual value and the short-circuit parameter. And substituting the residual value sequence in the latest history period into the correlation function to determine the short-circuit parameter for calculating the residual derivative of the current moment. . Therefore, according to the residual value sequence in the latest historical time period, the short-circuit parameter for calculating the residual derivative at the current moment is updated in real time, so that the accuracy of determining the residual derivative is improved, and further the accuracy of detecting the short-circuit fault of the battery is improved.
The derivation process of the association function corresponding to the Longberg observer is as follows:
in this disclosure, the model of the residual signal is as follows:
e＝p-Qx
wherein p is a system function of the observer of the lambert, Q is a parameter of the observer of the lambert, x is a state variable, and e is a residual signal.
From the model of the residual signal described above, a residual derivative model can be determined as follows:
and because the system function of the leber state observer satisfies the following formula:
where u is an input function, W, Z, J is a parameter of the leber state observer, and y is a measured value of the terminal voltage of the battery to be detected.
y*＝y-Du＝Cx
The equivalent circuit at the time of circuit failure is shown in fig. 4. The state model of the equivalent circuit at the time of failure is as follows:
wherein α is a short-circuit parameter. f is a matrix of α, and f may be preset in the system.
Thus, y is,
p is substituted into the residual derivative model, and the residual derivative model is determined as follows:
also because of the constraints of the parameters of the leber observer as follows:
WQ+ZC-QA＝0
J＝0
the correlation function corresponding to the leberger observer is as follows:
In the method, the residual difference value and the short-circuit parameter at the current moment are input into the correlation function, and then the residual derivative at the current moment can be determined.
In step 308, when the residual derivative is equal to zero, it is determined that the battery to be detected is not shorted.
In the present disclosure, when the residual derivative is equal to zero, which indicates that the input current is normal, it may be determined that the battery to be detected is not shorted.
In the present disclosure, when the target residual derivative is not equal to zero, it is explained that the input current is abnormal, and it may be determined that the battery to be detected is shorted.
In the disclosure, after determining the circuit parameters of the equivalent circuit model, a state model corresponding to the equivalent circuit model may be determined based on the circuit parameters, and based on the state model, state detection is performed on the input current by using a leber observer to determine a residual value of a residual signal corresponding to the input current, then, a short circuit parameter may be determined based on a residual value sequence in a recent history period and a preset correlation function, and based on the residual value, the short circuit parameter and the correlation function, a residual derivative at the current moment may be determined, when the residual derivative is equal to zero, it is determined that the battery to be detected is not short-circuited, and when the residual derivative is not equal to zero, it is determined that the battery to be detected is short-circuited. Therefore, according to the residual value sequence in the latest historical time period, the short-circuit parameter for calculating the residual derivative at the current moment is updated in real time, so that the accuracy of determining the residual derivative is improved, and further the accuracy of detecting the short-circuit fault of the battery is improved.
Fig. 5 is a flow chart of a method for detecting a battery short-circuit fault according to an embodiment of the disclosure.
As shown in fig. 5, the method for detecting a short-circuit fault of a battery includes:
In the present disclosure, the specific implementation process of step 501 to step 502 may refer to the detailed description of any embodiment of the present disclosure, which is not repeated herein.
In the present disclosure, any iterative manner may be used to quickly determine the circuit parameters of the equivalent circuit model. Initial circuit parameters may be preset in the system. And substituting the initial circuit parameters, the input current and the open-circuit voltage into an equivalent circuit model to output a first reference voltage of the battery to be detected.
In step 504, when the difference between the first reference voltage and the actual terminal voltage is greater than the threshold, the initial circuit parameter is adjusted according to the preset iteration model, so as to obtain the adjusted reference circuit parameter.
In the present disclosure, since the recursive least square method has high iteration efficiency, the recursive least square method may be used to iteratively adjust the circuit parameters, and determine the circuit parameters after each adjustment as the reference circuit parameters. Therefore, the calculation amount of the determined circuit parameters can be reduced, and the detection efficiency of the battery short-circuit fault can be improved.
The corresponding iteration model of the circuit parameters in the recursive least square method can be determined through the following deduction process.
Since the transfer function of the equivalent circuit model is as follows:
wherein:
V(s)＝V t +V c 。
the transfer function is discretized by a zero-order hold (ZOH) transformation method. The discrete equation is determined as follows:
the finishing method can obtain:
wherein: y is system output; phi is a measured variable; θ is the variable to be identified.
Thus, according to the recursive least squares principle, an iterative model for determining θ values is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
representing the θ value of the iteration.
From the discrete equations above, the reference circuit parameters can be determined as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
representing reference R 0 ，/>
Representing reference R p 、/>
Representing reference C p 。
Therefore, the initial circuit parameters can be adjusted according to the iterative model, and the adjusted reference circuit parameters can be obtained.
And step 505, continuing to adjust the reference circuit parameters under the condition that the second reference voltage and the actual terminal voltage are larger than the threshold value until the difference value between the second reference voltage and the actual terminal voltage is smaller than the threshold value, wherein the second reference voltage is the terminal voltage determined according to the reference circuit parameters, the input current and the open circuit voltage.
In the disclosure, the reference circuit parameter, the input current and the open-circuit voltage are substituted into an equivalent circuit model to output a second reference voltage of the battery to be detected. And comparing the difference value between the second reference voltage and the actual terminal voltage with a threshold value, and when the difference value between the second reference voltage and the actual terminal voltage is larger than the threshold value, indicating that the reference circuit parameter is not the optimal circuit parameter of the equivalent circuit model. Accordingly, the reference circuit parameter is continuously adjusted until the difference between the second reference voltage determined based on the reference circuit parameter and the actual terminal voltage is less than the threshold value, and the iterative adjustment is stopped.
In the present disclosure, the specific implementation process of step 507-step 508 may refer to the detailed description of any embodiment of the present disclosure, which is not repeated herein.
According to the method, a first reference voltage is determined according to an initial circuit parameter, an input current and an open-circuit voltage, under the condition that the difference value between the first reference voltage and an actual terminal voltage is larger than a threshold value, the initial circuit parameter is adjusted according to a preset iteration model to obtain an adjusted reference circuit parameter, then, under the condition that a second reference voltage determined according to the reference circuit parameter and the actual terminal voltage are larger than the threshold value, the reference circuit parameter is continuously adjusted until the difference value between the second reference voltage and the actual terminal voltage is smaller than the threshold value, the reference circuit parameter determined by the last adjustment is determined to be the circuit parameter of an equivalent circuit model, then, the residual value of a residual signal corresponding to the terminal voltage of a battery to be detected is determined according to the circuit parameter, and whether the battery to be detected is short-circuited is determined according to the residual value. Thereby improving the accuracy and efficiency of detecting the short-circuit fault of the battery.
In order to achieve the above embodiments, the embodiments of the present disclosure further provide a device for detecting a battery short-circuit fault. Fig. 6 is a schematic structural diagram of a device for detecting a battery short-circuit fault according to an embodiment of the disclosure.
As shown in fig. 6, the battery short-circuit fault detection apparatus 600 includes:
the obtaining module 610 is configured to obtain an equivalent circuit model of a battery to be detected, and an input current and an actual terminal voltage of the battery to be detected at a current moment;
a first determining module 620, configured to determine an open-circuit voltage of the battery to be detected according to a historical input current of the battery to be detected;
a second determining module 630, configured to determine a circuit parameter of the equivalent circuit model according to the input current, the actual terminal voltage, and the open circuit voltage;
a third determining module 640, configured to determine a residual value corresponding to the input current according to the circuit parameter;
a fourth determining module 650, configured to determine whether the battery to be detected is shorted according to the residual error value.
In one possible implementation manner of the embodiment of the present disclosure, the third determining module 640 is configured to:
determining a state model corresponding to the equivalent circuit model based on the circuit parameters;
and based on the state model, carrying out state detection on the input current by using a Lunberg observer, and determining a residual value of a residual signal corresponding to the input current.
In one possible implementation manner of the embodiment of the present disclosure, the fourth determining module 650 is configured to:
determining a short circuit parameter based on a residual error value sequence in a recent history period and a preset association function;
determining a residual derivative at the current moment based on the residual value, the short-circuit parameter and the correlation function;
when the residual derivative is equal to zero, determining that the battery to be detected is not shorted;
and when the residual derivative is not equal to zero, determining that the battery to be detected is short-circuited.
In one possible implementation manner of the embodiment of the present disclosure, the second determining module 630 is configured to:
determining a first reference voltage according to initial circuit parameters, the input current and the open-circuit voltage;
when the difference value between the first reference voltage and the actual terminal voltage is larger than a threshold value, adjusting the initial circuit parameter according to a preset iteration model to obtain an adjusted reference circuit parameter;
and under the condition that the second reference voltage and the actual terminal voltage are larger than a threshold value, continuing to adjust the reference circuit parameter until the difference value between the second reference voltage and the actual terminal voltage is smaller than the threshold value, wherein the second reference voltage is the terminal voltage of the battery to be detected, which is determined according to the reference circuit parameter, the input current and the open circuit voltage.
It should be noted that, the explanation of the embodiment of the method for detecting a battery short-circuit fault is also applicable to the device for detecting a battery short-circuit fault of this embodiment, so that the explanation is omitted here.
In the disclosure, after an equivalent circuit model of a battery to be detected and an input current and an actual terminal voltage of the battery to be detected at the current moment are obtained, an open circuit voltage of the battery to be detected can be determined according to a historical input current of the battery to be detected, circuit parameters of the equivalent circuit model are determined according to the input current, the actual terminal voltage and the open circuit voltage, then a residual error value corresponding to the input current is determined according to the circuit parameters, and whether the battery to be detected is short-circuited is determined according to the residual error value. Therefore, the residual value at the current moment is dynamically determined according to the circuit parameter change, and the accuracy of detecting the short-circuit fault of the battery is improved.
In order to implement the above embodiments, the embodiments of the present disclosure further provide a computer device including a processor and a memory;
wherein the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory for realizing the method of detecting a battery short-circuit fault as in the above-described embodiment.
In order to implement the above-described embodiments, the embodiments of the present disclosure also propose a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the method of detecting a battery short-circuit fault as in the above-described embodiments.
Although embodiments of the present disclosure have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the present disclosure, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the present disclosure.
Claims (10)
1. A method for detecting a short circuit fault in a battery, comprising:
acquiring an equivalent circuit model of a battery to be detected, and acquiring an input current and an actual terminal voltage of the battery to be detected at the current moment;
determining the open-circuit voltage of the battery to be detected according to the historical input current of the battery to be detected;
determining circuit parameters of the equivalent circuit model according to the input current, the actual terminal voltage and the open circuit voltage;
determining a residual error value corresponding to the input current according to the circuit parameters;
and determining whether the battery to be detected is short-circuited or not according to the residual error value.
2. The method of claim 1, wherein determining a residual value for the input current based on the circuit parameter comprises:
determining a state model corresponding to the equivalent circuit model based on the circuit parameters;
and based on the state model, carrying out state detection on the input current by using a Lunberg observer, and determining a residual value of a residual signal corresponding to the input current.
3. The method of claim 1, wherein said determining whether the battery to be detected is shorted based on the residual value comprises:
determining a short circuit parameter based on a residual error value sequence in a recent history period and a preset association function;
determining a residual derivative at the current moment based on the residual value, the short-circuit parameter and the correlation function;
when the residual derivative is equal to zero, determining that the battery to be detected is not shorted;
and when the residual derivative is not equal to zero, determining that the battery to be detected is short-circuited.
4. The method of claim 1, wherein the determining circuit parameters of the equivalent circuit model from the input current, the actual terminal voltage, and the open circuit voltage comprises:
determining a first reference voltage according to initial circuit parameters, the input current and the open-circuit voltage;
when the difference value between the first reference voltage and the actual terminal voltage is larger than a threshold value, adjusting the initial circuit parameter according to a preset iteration model to obtain an adjusted reference circuit parameter;
and under the condition that the second reference voltage and the actual terminal voltage are larger than a threshold value, continuing to adjust the reference circuit parameter until the difference value between the second reference voltage and the actual terminal voltage is smaller than the threshold value, wherein the second reference voltage is the terminal voltage of the battery to be detected, which is determined according to the reference circuit parameter, the input current and the open circuit voltage.
5. A detection device for a battery short-circuit fault, comprising:
the acquisition module is used for acquiring an equivalent circuit model of the battery to be detected, and input current and actual terminal voltage of the battery to be detected at the current moment;
the first determining module is used for determining the open-circuit voltage of the battery to be detected according to the historical input current of the battery to be detected;
the second determining module is used for determining circuit parameters of the equivalent circuit model according to the input current, the actual terminal voltage and the open circuit voltage;
the third determining module is used for determining a residual error value corresponding to the input current according to the circuit parameters;
and the fourth determining module is used for determining whether the battery to be detected is short-circuited or not according to the residual error value.
6. The apparatus of claim 5, wherein the third determination module is to:
determining a state model corresponding to the equivalent circuit model based on the circuit parameters;
and based on the state model, carrying out state detection on the input current by using a Lunberg observer, and determining a residual value of a residual signal corresponding to the input current.
7. The apparatus of claim 5, wherein the fourth determination module is to:
determining a short circuit parameter based on a residual error value sequence in a recent history period and a preset association function;
determining a residual derivative at the current moment based on the residual value, the short-circuit parameter and the correlation function;
when the residual derivative is equal to zero, determining that the battery to be detected is not shorted;
and when the residual derivative is not equal to zero, determining that the battery to be detected is short-circuited.
8. The apparatus of claim 5, wherein the second determination module is to:
determining a first reference voltage according to initial circuit parameters, the input current and the open-circuit voltage;
when the difference value between the first reference voltage and the actual terminal voltage is larger than a threshold value, adjusting the initial circuit parameter according to a preset iteration model to obtain an adjusted reference circuit parameter;
and under the condition that the second reference voltage and the actual terminal voltage are larger than a threshold value, continuing to adjust the reference circuit parameter until the difference value between the second reference voltage and the actual terminal voltage is smaller than the threshold value, wherein the second reference voltage is the terminal voltage of the battery to be detected, which is determined according to the reference circuit parameter, the input current and the open circuit voltage.
9. A computer device comprising a processor and a memory;
wherein the processor runs a program corresponding to executable program code stored in the memory by reading the executable program code for implementing the method according to any one of claims 1-4.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-4.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116400247A (en) * | 2023-06-08 | 2023-07-07 | 中国华能集团清洁能源技术研究院有限公司 | Method and device for determining soft short circuit fault of battery |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116400247A (en) * | 2023-06-08 | 2023-07-07 | 中国华能集团清洁能源技术研究院有限公司 | Method and device for determining soft short circuit fault of battery |
| CN116400247B (en) * | 2023-06-08 | 2023-08-29 | 中国华能集团清洁能源技术研究院有限公司 | Method and device for determining soft short circuit fault of battery |
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