CN112307623A - Battery cell thermal runaway prediction method and device, medium, battery management system and vehicle - Google Patents
Battery cell thermal runaway prediction method and device, medium, battery management system and vehicle Download PDFInfo
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Abstract
The disclosure relates to a method and a device for predicting thermal runaway of a battery core, a medium, a battery management system and a vehicle. The method comprises the following steps: for each battery cell in the battery pack, acquiring the temperature of the battery cell within a preset time before the current time to obtain a first temperature sequence corresponding to the battery cell; aiming at the acquisition time of each temperature in the first temperature sequence, calculating the average value of the temperatures of all the battery cells in the battery pack at the acquisition time, and calculating the difference value between the temperature of each battery cell at the acquisition time and the average value to obtain a second temperature sequence corresponding to each battery cell; and predicting whether the battery cell has a thermal runaway risk or not according to the second temperature sequence corresponding to the battery cell for each battery cell. Therefore, the interference of heating of the battery core caused by normal use of the battery or heating of the battery and other factors can be eliminated, so that whether the battery has a thermal runaway risk can be accurately predicted, measures can be taken conveniently in time, accidents such as fire and explosion caused by the thermal runaway can be avoided, the safety of the battery can be improved, the service life of the battery can be prolonged, and the cost is low.
Description
Technical Field
The disclosure relates to the field of battery management, in particular to a method, a device, a medium, a battery management system and a vehicle for predicting thermal runaway of a battery core.
Background
The current electrochemical energy storage system is widely applied in the fields of energy storage, passenger vehicles, Automatic Guided Vehicles (AGVs) and the like. In various application scenarios of batteries, the safety of a battery cell has been one of the most concerned focuses in the industry.
At present, one of the greatest risks of battery safety is thermal runaway of a battery core, and at present, whether the thermal runaway of the battery core occurs is mainly detected by monitoring the temperature of the battery core, special gas, smoke and the like. The method for detecting whether the battery core is subjected to thermal runaway or not through temperature mainly comprises the following two ways: (1) when the temperature of the battery cell is detected to be higher than a certain value, the thermal runaway of the battery cell is determined, but the thermal runaway of the battery cell can be determined only when the temperature of the battery cell rises to be very high after a period of time, so that the early discovery of the thermal runaway is not facilitated; (2) if the temperature rise rate of the battery cell is detected to be greater than the preset rate, the thermal runaway of the battery cell is determined, but the mode is easily interfered by the temperature rise of the battery cell caused by normal use of the battery or heating of the battery and other factors, and the accuracy of the thermal runaway judgment is influenced. And the mode of monitoring special gas, smog needs additionally to set up corresponding sensor, and is with high costs, is unfavorable for popularizing and applying.
Disclosure of Invention
The present disclosure is directed to a method, an apparatus, a medium, a battery management system, and a vehicle for predicting thermal runaway of a battery cell, so as to partially solve the problems in the related art.
In order to achieve the above object, in a first aspect, the present disclosure provides a method for predicting cell thermal runaway, including:
for each battery cell in a battery pack, acquiring the temperature of the battery cell within a preset time before the current time to obtain a first temperature sequence corresponding to the battery cell;
aiming at the acquisition time of each temperature in the first temperature sequence, calculating an average value of the temperatures of all the battery cells in the battery pack at the acquisition time according to the first temperature sequence corresponding to each battery cell, and calculating a difference value between the temperature of each battery cell at the acquisition time and the average value to obtain a second temperature sequence corresponding to each battery cell;
and predicting whether the electric core has a thermal runaway risk or not according to the second temperature sequence corresponding to the electric core aiming at each electric core.
Optionally, the predicting whether the battery cell has a risk of thermal runaway according to the second temperature sequence corresponding to the battery cell includes:
respectively determining the variation of each temperature in the second temperature sequence relative to the previous temperature;
and if the variation quantity is larger than a first preset variation threshold, determining that the electric core has a thermal runaway risk.
Optionally, before the step of separately determining a variation of each temperature in the second temperature sequence with respect to a previous temperature thereof, the predicting whether the cell has a risk of thermal runaway according to the second temperature sequence corresponding to the cell further includes:
filtering the second temperature sequence;
the respectively determining the variation of each temperature in the second temperature sequence relative to the previous temperature comprises:
and respectively determining the variation of each temperature in the second temperature sequence obtained after the filtering process relative to the previous temperature.
Optionally, the predicting whether the battery cell has a risk of thermal runaway according to the second temperature sequence corresponding to the battery cell further includes:
and under the condition that the variation which is larger than the first preset variation threshold value does not exist in the variation, if the variation which is larger than the second preset variation threshold value exists in the variation, carrying out thermal runaway early warning, wherein the second preset variation threshold value is smaller than the first preset variation threshold value.
Optionally, the method further comprises:
and when determining that the electric core has the thermal runaway risk, performing thermal runaway alarm.
In a second aspect, the present disclosure provides a device for predicting a thermal runaway of a battery cell, including:
the battery pack comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring the temperature of each battery cell in the battery pack within a preset time before the current time to obtain a first temperature sequence corresponding to the battery cell;
a calculating module, configured to calculate, according to the first temperature sequence corresponding to each electrical core, an average value of the temperatures of all the electrical cores in the battery pack at the acquisition time for the acquisition time of each temperature in the first temperature sequence acquired by the acquiring module, and calculate a difference between the temperature of each electrical core at the acquisition time and the average value, so as to obtain a second temperature sequence corresponding to each electrical core;
and the prediction module is used for predicting whether the electric core has a thermal runaway risk or not according to the second temperature sequence corresponding to the electric core obtained by the calculation module aiming at each electric core.
Optionally, the prediction module comprises:
the first determining submodule is used for respectively determining the variation of each temperature in the second temperature sequence relative to the previous temperature;
and the second determining submodule is used for determining that the electric core has a thermal runaway risk if the variation quantity is larger than a first preset variation threshold value.
In a third aspect, the present disclosure provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method provided by the first aspect of the present disclosure.
In a fourth aspect, the present disclosure provides a battery management system comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method provided by the first aspect of the present disclosure.
In a fifth aspect, the present disclosure provides a vehicle comprising: a battery pack and the battery management system provided according to a fourth aspect of the present disclosure.
In the technical scheme, firstly, for each battery cell in a battery pack, the temperature of the battery cell within a preset time before the current time is acquired, and a first temperature sequence corresponding to the battery cell is obtained; then, aiming at the acquisition time of each temperature in the first temperature sequence, calculating the average value of the temperatures of all the battery cells in the battery pack at the acquisition time according to the first temperature sequence corresponding to each battery cell, and calculating the difference value between the temperature of each battery cell at the acquisition time and the average value to obtain a second temperature sequence corresponding to each battery cell; and finally, predicting whether the battery cell has a thermal runaway risk or not according to the second temperature sequence corresponding to the battery cell for each battery cell. Whether the thermal runaway risk exists in the battery core is predicted according to the second temperature sequence corresponding to the battery core, namely whether the thermal runaway risk exists in the battery core is predicted according to the relative temperature of the battery core, so that the interference of the temperature rise of the battery core caused by normal use of the battery or heating of the battery and other factors can be eliminated, whether the thermal runaway risk exists in the battery can be accurately predicted, corresponding measures can be taken conveniently in time, safety accidents such as fire and explosion caused by the thermal runaway can be avoided, the safety of the battery is improved, the service life of the battery is prolonged, and the cost is low.
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 flowchart illustrating a method for predicting cell thermal runaway according to an exemplary embodiment.
Fig. 2 is a flowchart illustrating a method for predicting cell thermal runaway according to another exemplary embodiment.
Fig. 3 is a flowchart illustrating a method for predicting cell thermal runaway according to another exemplary embodiment.
Fig. 4 is a flowchart illustrating a method for predicting cell thermal runaway according to another exemplary embodiment.
Fig. 5 is a flowchart illustrating a method for predicting cell thermal runaway according to another exemplary embodiment.
Fig. 6 is a block diagram illustrating a cell thermal runaway prediction apparatus according to an example 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 illustrating a method for predicting cell thermal runaway according to an exemplary embodiment. The method for predicting the thermal runaway of the battery core can be applied to battery management systems or energy management systems in the fields of energy storage, passenger vehicles, AGV trolleys and the like. As shown in fig. 1, the method includes S101 to S103.
In S101, for each electric core in the battery pack, a temperature of the electric core within a preset time before the current time is obtained, and a first temperature sequence corresponding to the electric core is obtained.
In this disclosure, a temperature sensor may be respectively disposed for each battery cell, or a plurality of battery cells may be correspondingly disposed with a temperature sensor, where each temperature sensor respectively collects the temperature of the corresponding battery cell according to a preset period (e.g., 5s), and the collection time of each temperature sensor is the same.
For example, the battery pack has n battery cells (numbered 1, 2, … …, n, respectively), and for a battery cell i in the battery cell 1, the battery cell 2, … …, and the battery cell n, where i is 1, 2, … …, n, the temperature of the battery cell i within a preset time period before the current time is obtained, and a first temperature sequence T corresponding to the battery cell i is obtainedi-t1、Ti-t2、……、Ti-tmWherein, Ti-tjFirst temperature corresponding to cell iIn the temperature sequence, the temperature of the battery cell i at the acquisition time tj, m is equal to the preset duration divided by the preset period and then rounded, j is 1, 2, … …, m.
In S102, for the acquisition time of each temperature in the first temperature sequence, according to the first temperature sequence corresponding to each electric core in the battery pack, calculating an average value of the temperatures of all the electric cores in the battery pack at the acquisition time, and calculating a difference between the temperature of each electric core at the acquisition time and the average value of the temperatures of all the electric cores in the battery pack at the acquisition time, to obtain a second temperature sequence corresponding to each electric core.
For example, the second temperature sequence η corresponding to the cell i may be determined by the following equationi-t1、ηi-t2、……、ηi-tmMiddle j temperature ηi-tj：
Wherein, Ti-tjIs the temperature T of the cell i at the acquisition time tjk-tjThe temperature of cell k at the time tj is obtained, and k is 1, 2, … …, n.
In S103, for each battery cell, predicting whether the battery cell has a risk of thermal runaway according to the second temperature sequence corresponding to the battery cell.
In the technical scheme, firstly, for each battery cell in a battery pack, the temperature of the battery cell within a preset time before the current time is acquired, and a first temperature sequence corresponding to the battery cell is obtained; then, aiming at the acquisition time of each temperature in the first temperature sequence, calculating the average value of the temperatures of all the battery cells in the battery pack at the acquisition time according to the first temperature sequence corresponding to each battery cell, and calculating the difference value between the temperature of each battery cell at the acquisition time and the average value to obtain a second temperature sequence corresponding to each battery cell; and finally, predicting whether the battery cell has a thermal runaway risk or not according to the second temperature sequence corresponding to the battery cell for each battery cell. Whether the thermal runaway risk exists in the battery core is predicted according to the second temperature sequence corresponding to the battery core, namely whether the thermal runaway risk exists in the battery core is predicted according to the relative temperature of the battery core, so that the interference of the temperature rise of the battery core caused by normal use of the battery or heating of the battery and other factors can be eliminated, whether the thermal runaway risk exists in the battery can be accurately predicted, corresponding measures can be taken conveniently in time, safety accidents such as fire and explosion caused by the thermal runaway can be avoided, the safety of the battery is improved, the service life of the battery is prolonged, and the cost is low.
A detailed description is given below to a specific embodiment of predicting whether the battery cell has a risk of thermal runaway according to the second temperature sequence corresponding to the battery cell in S103.
In one embodiment, for each battery cell in a battery pack, if a temperature greater than a preset temperature threshold exists in a second temperature sequence corresponding to the battery cell, determining that the battery cell has a risk of thermal runaway; and if the temperature larger than the preset temperature threshold does not exist in the second temperature sequence corresponding to the battery cell, determining that the battery does not have the risk of thermal runaway.
In another embodiment, whether the battery core has a thermal runaway risk or not can be predicted through 1031 to 1034 shown in fig. 2 (i.e., S103 includes S1031 to S1034).
In S1031, the amount of change of each temperature in the second temperature sequence from its previous temperature is determined, respectively.
In the disclosure, for each temperature in the second temperature sequence corresponding to each battery cell in the battery pack, the variation of the temperature with respect to the previous temperature thereof is determined, that is, the difference between the temperature and the previous temperature thereof is determined. Wherein, the variation and the probability of thermal runaway of the battery cell are in positive correlation variation relationship. That is, if the variation is larger, it indicates that the probability of thermal runaway occurring in the battery cell is larger; if the variation is smaller, the probability of thermal runaway of the battery cell is smaller.
In S1032, it is determined whether there is a variation greater than a first preset variation threshold in the variation of each temperature in the second temperature sequence with respect to the previous temperature.
In this disclosure, if a variation greater than a first preset variation threshold exists in a variation of each temperature in the second temperature sequence with respect to a previous temperature, it indicates that the cell may be about to generate a thermal runaway or a thermal runaway has already occurred in the cell, and at this time, it may be determined that a thermal runaway risk exists in the cell, that is, S1033 is performed; if there is no variation greater than the first preset variation threshold in the variation of each temperature relative to the previous temperature in the second temperature sequence, it is determined that there is no risk of thermal runaway in the battery cell, i.e., S1034 is performed.
In this embodiment, since the temperature sensors respectively acquire the temperatures of the corresponding battery cells according to a preset period (e.g., 5s), and the acquisition times of the temperature sensors are the same, the acquisition times corresponding to the temperatures in the first temperature sequence are uniformly distributed, that is, the time intervals between adjacent acquisition times are the preset period, and correspondingly, the acquisition times corresponding to the temperatures in the second temperature sequence are also uniformly distributed, that is, the time intervals between adjacent acquisition times are the preset period. Therefore, the variation can be directly used as the temperature change rate, so that whether the electric core has a thermal runaway risk or not is determined according to the temperature change rate, the thermal runaway risk of the electric core can be predicted at the early stage of the thermal runaway even when the internal short-circuit current is large, and corresponding measures can be taken conveniently and timely to avoid safety accidents such as fire and explosion caused by the thermal runaway, so that the safety of the battery is improved, and the service life of the battery is prolonged.
In S1033, it is determined that the cell is at risk of thermal runaway.
In S1034, it is determined that the cell is not at risk of thermal runaway.
As shown in fig. 3, S103 further includes S1035 before S1031.
In S1035, the second temperature sequence is subjected to filter processing.
In the present disclosure, the second temperature sequence may be filtered by kalman filtering, median filtering, moving average filtering, or the like. In this way, the amount of change of each temperature from the previous temperature in the second temperature series obtained after the filtering process may be determined in S1031, respectively. Therefore, the problem that the first temperature sequence and the second temperature sequence are inaccurate due to temperature fluctuation can be avoided, and the accuracy of subsequent thermal runaway risk prediction is improved.
In addition, as shown in fig. 4, S103 further includes S1036 and S1037.
In S1036, it is determined whether there is a variation greater than a second preset variation threshold in the variation of each temperature in the second temperature sequence with respect to the previous temperature.
In the present disclosure, the second preset variation threshold is smaller than the first preset variation threshold. If the variation of each temperature in the second temperature sequence relative to the previous temperature does not have a variation larger than the first preset variation threshold, whether the variation of each temperature in the second temperature sequence relative to the previous temperature has a variation larger than the second preset variation threshold is judged. If the variation of each temperature in the second temperature sequence relative to the previous temperature does not have a variation larger than a second preset variation threshold, it indicates that the temperature of the battery cell is normal, and at this time, whether the battery cell has a thermal runaway risk or not can be continuously monitored, that is, the process returns to S101; if there is a variation greater than the second preset variation threshold in the variation of each temperature in the second temperature sequence relative to the previous temperature, it indicates that the cell temperature is abnormal, and the cell may subsequently experience thermal runaway, and at this time, S1037 is performed.
In S1037, a thermal runaway warning is performed.
In the method, the thermal runaway early warning can be performed through voice reminding, indicator lamp flashing, display screen display and other modes so as to remind a user to take preventive measures in advance, and therefore the occurrence of the thermal runaway is effectively avoided.
Fig. 5 is a flowchart illustrating a method for predicting cell thermal runaway according to another exemplary embodiment. As shown in fig. 5, the method further includes S104.
In S104, when it is determined that the battery cell has a risk of thermal runaway, a thermal runaway alarm is performed.
In this disclosure, can carry out thermal runaway through modes such as pronunciation warning, pilot lamp scintillation, display screen demonstration and report an emergency and ask for help or increased vigilance to remind the user in time to take measures, in order to avoid because of the incident such as the fire, explosion that thermal runaway arouse, thereby promoted battery security, prolonged the life of battery. In addition, alarm information can be sent to a remote server (for example, a remote monitoring system) to further guarantee the safety of the battery.
Fig. 6 is a block diagram illustrating a cell thermal runaway prediction apparatus according to an example embodiment. As shown in fig. 6, the apparatus 600 includes: an obtaining module 601, configured to obtain, for each electric core in a battery pack, a temperature of the electric core within a preset time before a current time to obtain a first temperature sequence corresponding to the electric core; a calculating module 602, configured to calculate, according to the first temperature sequence corresponding to each electric core at the acquisition time of each temperature in the first temperature sequence acquired by the acquiring module 601, an average value of the temperatures of all the electric cores in the battery pack at the acquisition time, and calculate a difference between the temperature of each electric core at the acquisition time and the average value, so as to obtain a second temperature sequence corresponding to each electric core; the predicting module 603 is configured to predict, for each battery cell, whether the battery cell has a risk of thermal runaway according to the second temperature sequence corresponding to the battery cell obtained by the calculating module 602.
In the technical scheme, firstly, for each battery cell in a battery pack, the temperature of the battery cell within a preset time before the current time is acquired, and a first temperature sequence corresponding to the battery cell is obtained; then, aiming at the acquisition time of each temperature in the first temperature sequence, calculating the average value of the temperatures of all the battery cells in the battery pack at the acquisition time according to the first temperature sequence corresponding to each battery cell, and calculating the difference value between the temperature of each battery cell at the acquisition time and the average value to obtain a second temperature sequence corresponding to each battery cell; and finally, predicting whether the battery cell has a thermal runaway risk or not according to the second temperature sequence corresponding to the battery cell for each battery cell. Whether the thermal runaway risk exists in the battery core is predicted according to the second temperature sequence corresponding to the battery core, namely whether the thermal runaway risk exists in the battery core is predicted according to the relative temperature of the battery core, so that the interference of the temperature rise of the battery core caused by normal use of the battery or heating of the battery and other factors can be eliminated, whether the thermal runaway risk exists in the battery can be accurately predicted, corresponding measures can be taken conveniently in time, safety accidents such as fire and explosion caused by the thermal runaway can be avoided, the safety of the battery is improved, the service life of the battery is prolonged, and the cost is low.
Optionally, the prediction module 603 comprises: the first determining submodule is used for respectively determining the variation of each temperature in the second temperature sequence relative to the previous temperature; and the second determining submodule is used for determining that the electric core has a thermal runaway risk if the variation quantity is larger than a first preset variation threshold value.
Optionally, the prediction module 603 further includes: the processing submodule is used for carrying out filtering processing on the second temperature sequence before the first determining submodule respectively determines the variation of each temperature in the second temperature sequence relative to the previous temperature; and the first determining submodule is used for respectively determining the variation of each temperature in the second temperature sequence obtained after the filtering processing relative to the previous temperature.
Optionally, the prediction module 603 further includes: and the early warning submodule is used for carrying out thermal runaway early warning if the variation quantity which is greater than a second preset variation threshold value exists in the variation quantity under the condition that the variation quantity which is greater than the first preset variation threshold value does not exist in the variation quantity, wherein the second preset variation threshold value is smaller than the first preset variation threshold value.
Optionally, the apparatus 600 further comprises: and the warning module is used for carrying out thermal runaway warning when the electric core is determined to have the thermal runaway risk.
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.
The present disclosure also provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the above-mentioned method for predicting thermal runaway of a battery cell provided by the present disclosure.
The present disclosure also provides a battery management system, including: 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 above-mentioned cell thermal runaway prediction method provided by the disclosure.
The present disclosure also provides a vehicle comprising: battery package and the above-mentioned battery management system that provides according to this disclosure.
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 predicting thermal runaway of a battery cell is characterized by comprising the following steps:
for each battery cell in a battery pack, acquiring the temperature of the battery cell within a preset time before the current time to obtain a first temperature sequence corresponding to the battery cell;
aiming at the acquisition time of each temperature in the first temperature sequence, calculating an average value of the temperatures of all the battery cells in the battery pack at the acquisition time according to the first temperature sequence corresponding to each battery cell, and calculating a difference value between the temperature of each battery cell at the acquisition time and the average value to obtain a second temperature sequence corresponding to each battery cell;
and predicting whether the electric core has a thermal runaway risk or not according to the second temperature sequence corresponding to the electric core aiming at each electric core.
2. The method of claim 1, wherein predicting whether the cell is at risk of thermal runaway according to the second temperature sequence corresponding to the cell comprises:
respectively determining the variation of each temperature in the second temperature sequence relative to the previous temperature;
and if the variation quantity is larger than a first preset variation threshold, determining that the electric core has a thermal runaway risk.
3. The method of claim 2, wherein before the step of separately determining an amount of change of each temperature in the second temperature sequence relative to a previous temperature thereof, the predicting whether the cell is at risk of thermal runaway according to the corresponding second temperature sequence of the cell further comprises:
filtering the second temperature sequence;
the respectively determining the variation of each temperature in the second temperature sequence relative to the previous temperature comprises:
and respectively determining the variation of each temperature in the second temperature sequence obtained after the filtering process relative to the previous temperature.
4. The method of claim 2, wherein predicting whether the cell is at risk of thermal runaway according to the second temperature sequence corresponding to the cell further comprises:
and under the condition that the variation which is larger than the first preset variation threshold value does not exist in the variation, if the variation which is larger than the second preset variation threshold value exists in the variation, carrying out thermal runaway early warning, wherein the second preset variation threshold value is smaller than the first preset variation threshold value.
5. The method according to any one of claims 1-4, further comprising:
and when determining that the electric core has the thermal runaway risk, performing thermal runaway alarm.
6. A device for predicting thermal runaway of a battery cell, comprising:
the battery pack comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring the temperature of each battery cell in the battery pack within a preset time before the current time to obtain a first temperature sequence corresponding to the battery cell;
a calculating module, configured to calculate, according to the first temperature sequence corresponding to each electrical core, an average value of the temperatures of all the electrical cores in the battery pack at the acquisition time for the acquisition time of each temperature in the first temperature sequence acquired by the acquiring module, and calculate a difference between the temperature of each electrical core at the acquisition time and the average value, so as to obtain a second temperature sequence corresponding to each electrical core;
and the prediction module is used for predicting whether the electric core has a thermal runaway risk or not according to the second temperature sequence corresponding to the electric core obtained by the calculation module aiming at each electric core.
7. The apparatus of claim 6, wherein the prediction module comprises:
the first determining submodule is used for respectively determining the variation of each temperature in the second temperature sequence relative to the previous temperature;
and the second determining submodule is used for determining that the electric core has a thermal runaway risk if the variation quantity is larger than a first preset variation threshold value.
8. 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.
9. A battery management system, 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.
10. A vehicle, characterized by comprising: a battery pack and a battery management system according to claim 9.
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| CN113291200A (en) * | 2021-05-19 | 2021-08-24 | 广州小鹏汽车科技有限公司 | Vehicle battery pack monitoring method and device |
| CN114122537A (en) * | 2021-10-27 | 2022-03-01 | 华为数字能源技术有限公司 | Safety detection method of battery module, battery pack and energy storage system |
| CN116151037A (en) * | 2023-04-18 | 2023-05-23 | 中汽研新能源汽车检验中心(天津)有限公司 | Battery pack storage and transportation space temperature prediction model construction and danger source positioning method |
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2020
- 2020-10-30 CN CN202011197107.1A patent/CN112307623A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113029392A (en) * | 2021-04-15 | 2021-06-25 | 高创(苏州)电子有限公司 | Body temperature measuring method and device and electronic equipment |
| CN113291200A (en) * | 2021-05-19 | 2021-08-24 | 广州小鹏汽车科技有限公司 | Vehicle battery pack monitoring method and device |
| CN114122537A (en) * | 2021-10-27 | 2022-03-01 | 华为数字能源技术有限公司 | Safety detection method of battery module, battery pack and energy storage system |
| CN116151037A (en) * | 2023-04-18 | 2023-05-23 | 中汽研新能源汽车检验中心(天津)有限公司 | Battery pack storage and transportation space temperature prediction model construction and danger source positioning method |
| CN116151037B (en) * | 2023-04-18 | 2023-08-01 | 中汽研新能源汽车检验中心(天津)有限公司 | Battery pack storage and transportation space temperature prediction model construction and danger source positioning method |
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