CN114079092B - Battery thermal management method, device, medium and equipment - Google Patents

Battery thermal management method, device, medium and equipment Download PDF

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Publication number
CN114079092B
CN114079092B CN202010808435.4A CN202010808435A CN114079092B CN 114079092 B CN114079092 B CN 114079092B CN 202010808435 A CN202010808435 A CN 202010808435A CN 114079092 B CN114079092 B CN 114079092B
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temperature
voltage
current
level
data
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CN114079092A (en
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冯天宇
邓林旺
李晓倩
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BYD Co Ltd
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BYD Co Ltd
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    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H01M10/482—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for several batteries or cells simultaneously or sequentially
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H01M10/486—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for measuring temperature
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H01M10/488—Cells or batteries combined with indicating means for external visualization of the condition, e.g. by change of colour or of light density
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

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  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Secondary Cells (AREA)

Abstract

The disclosure relates to a battery thermal management method, a device, a medium and equipment, which belong to the technical field of battery management, can realize high reliability of thermal runaway early warning, and reduce false alarm rate and false alarm rate of the thermal runaway early warning. A battery thermal management method, comprising: acquiring current temperature data of all temperature sensors for detecting the temperature of a battery pack and current voltage data of all voltage sensors for detecting the voltage of single batteries of the battery pack; determining a broken line fault level of the battery pack based on the current temperature data and the current voltage data; determining a temperature fault level of the battery pack based on the current temperature data; determining a voltage failure level of the battery pack based on the current voltage data; and performing thermal runaway early warning based on the broken line fault level, the temperature fault level and the voltage fault level.

Description

Battery thermal management method, device, medium and equipment
Technical Field
The present disclosure relates to the field of battery management technologies, and in particular, to a battery thermal management method, device, medium, and apparatus.
Background
Conventionally, when performing battery thermal management, thermal runaway determination is generally performed using the rate of change of the voltage, current, temperature, etc. of the battery. However, when thermal runaway occurs, the signals such as temperature, voltage, current and the like may greatly fluctuate due to the interference of high-temperature air flow, flame, heavy current, severe physicochemical reaction and the like, and whether the threshold value is exceeded or not is judged by means of the rising or falling rate, so that the missing report or the false report of the thermal runaway early warning may be caused.
Disclosure of Invention
The invention aims to provide a battery thermal management method, a device, a medium and equipment, which can realize high reliability of thermal runaway early warning and reduce the false alarm rate and the missing report rate of the thermal runaway early warning.
According to a first embodiment of the present disclosure, there is provided a battery thermal management method including: acquiring current temperature data of all temperature sensors for detecting the temperature of a battery pack and current voltage data of all voltage sensors for detecting the voltage of single batteries of the battery pack; determining a broken line fault level of the battery pack based on the current temperature data and the current voltage data; determining a temperature fault level of the battery pack based on the current temperature data; determining a voltage failure level of the battery pack based on the current voltage data; and performing thermal runaway early warning based on the broken line fault level, the temperature fault level and the voltage fault level.
Optionally, the determining the broken line fault level of the battery pack based on the current temperature data and the current voltage data includes: determining a temperature sensor and a voltage sensor in a wire-break state based on the current temperature data and the current voltage data; counting the wire breakage duration time of a temperature sensor and a voltage sensor in a wire breakage state; counting the total number of temperature sensors and voltage sensors with the wire breakage duration longer than the preset wire breakage duration; the broken line fault level is determined based on the total number.
Optionally, the determining a temperature fault level of the battery pack based on the current temperature data includes: calculating the average temperature of all effective temperature data in all the current temperature data, wherein the effective temperature data meets the following conditions: the effective temperature data is smaller than the maximum current temperature data in the current temperature data and larger than the minimum current temperature data in the current temperature data, and the effective temperature data is used for indicating the corresponding temperature sensor to be continuously connected; determining the current temperature risk level of each temperature sensor based on a temperature interval to which a difference value between each current temperature data and the average temperature belongs; determining whether the current temperature risk level of each temperature sensor rises compared with the highest historical temperature risk level of the temperature sensor in a first historical preset period from the current moment, and counting the rising times of the temperature risk level of the temperature sensor at the current moment; and determining the temperature fault level based on the maximum temperature risk level rising times in all the temperature sensors at the current moment.
Optionally, the counting the number of rising times of the temperature risk level of the temperature sensor at the current moment includes: if the current temperature risk level is increased compared with the highest historical temperature risk level, increasing the number of times of temperature risk level increase of the temperature sensor at the previous moment by 1 as the number of times of temperature risk level increase of the temperature sensor at the current moment; if the current temperature risk level is not increased compared with the highest historical temperature risk level and the time that the temperature risk level of the temperature sensor is not increased before the current time is shorter than the first preset time, taking the temperature risk level increasing frequency of the temperature sensor at the previous time as the temperature risk level increasing frequency of the temperature sensor at the current time; if the temperature risk level of the temperature sensor does not rise within the first preset time before the current time, setting the rising frequency of the temperature risk level of the temperature sensor at the current time to be 0.
Optionally, the determining, based on the current voltage data, a voltage failure level of the battery pack includes: calculating average voltages of all effective voltage data in all the current voltage data, wherein the effective voltage data meets the following conditions: the effective voltage data is smaller than the maximum current voltage data in the current voltage data and larger than the minimum current voltage data in the current voltage data, and the effective voltage data is used for indicating the corresponding voltage sensor to be continuously disconnected; determining the current voltage risk level of each voltage sensor based on a voltage interval to which a difference value between each current voltage data and the average voltage belongs; determining whether the current voltage risk level of each voltage sensor rises compared with the highest historical voltage risk level of the voltage sensor in a second historical preset period from the current moment, and counting the rising times of the voltage risk level of the voltage sensor at the current moment; and determining the voltage fault level based on the maximum voltage risk level rising times in all the voltage sensors at the current moment.
Optionally, the counting the number of rising times of the voltage risk level of the voltage sensor at the current moment includes: if the current voltage risk level is increased compared with the highest historical voltage risk level, increasing the number of times of voltage risk level increase of the voltage sensor at the previous moment by 1 as the number of times of voltage risk level increase of the voltage sensor at the current moment; if the current voltage risk level is not increased compared with the highest historical voltage risk level and the duration that the voltage risk level of the voltage sensor is not increased before the current time is shorter than a second preset duration, the voltage risk level increasing frequency of the voltage sensor at the previous time is used as the voltage risk level increasing frequency of the voltage sensor at the current time; if the voltage risk level of the voltage sensor does not rise within the second preset time before the current time, setting the rising frequency of the voltage risk level of the voltage sensor at the current time to be 0.
Optionally, the performing thermal runaway early warning based on the broken line fault level, the temperature fault level and the voltage fault level includes: determining a thermal runaway warning level based on the highest fault level of the broken line fault level, the temperature fault level, and the voltage fault level and the number of the highest fault levels; and performing thermal runaway early warning based on the thermal runaway early warning level.
Optionally, the thermal runaway warning level increases with an increase in the highest failure level and with an increase in the number of highest failure levels.
According to a second embodiment of the present disclosure, there is provided a battery thermal management device including: the device comprises an acquisition module, a voltage detection module and a control module, wherein the acquisition module is used for acquiring current temperature data of all temperature sensors for detecting the temperature of a battery pack and current voltage data of all voltage sensors for detecting the voltage of single batteries of the battery pack; the first determining module is used for determining the broken line fault level of the battery pack based on the current temperature data and the current voltage data; a second determining module for determining a temperature failure level of the battery pack based on the current temperature data; a third determining module for determining a voltage failure level of the battery pack based on the current voltage data; and the early warning module is used for carrying out thermal runaway early warning based on the broken line fault level, the temperature fault level and the voltage fault level.
Optionally, the first determining module is further configured to: determining a temperature sensor and a voltage sensor in a wire-break state based on the current temperature data and the current voltage data; counting the wire breakage duration time of a temperature sensor and a voltage sensor in a wire breakage state; counting the total number of temperature sensors and voltage sensors with the wire breakage duration longer than the preset wire breakage duration; the broken line fault level is determined based on the total number.
Optionally, the second determining module is further configured to:
Calculating the average temperature of all effective temperature data in all the current temperature data, wherein the effective temperature data meets the following conditions: the effective temperature data is smaller than the maximum current temperature data in the current temperature data and larger than the minimum current temperature data in the current temperature data, and the effective temperature data is used for indicating the corresponding temperature sensor to be continuously connected; determining the current temperature risk level of each temperature sensor based on a temperature interval to which a difference value between each current temperature data and the average temperature belongs; determining whether the current temperature risk level of each temperature sensor rises compared with the highest historical temperature risk level of the temperature sensor in a first historical preset period from the current moment, and counting the rising times of the temperature risk level of the temperature sensor at the current moment; and determining the temperature fault level based on the maximum temperature risk level rising times in all the temperature sensors at the current moment.
Optionally, the counting the number of rising times of the temperature risk level of the temperature sensor at the current moment includes: if the current temperature risk level is increased compared with the highest historical temperature risk level, increasing the number of times of temperature risk level increase of the temperature sensor at the previous moment by 1 as the number of times of temperature risk level increase of the temperature sensor at the current moment; if the current temperature risk level is not increased compared with the highest historical temperature risk level and the time that the temperature risk level of the temperature sensor is not increased before the current time is shorter than the first preset time, taking the temperature risk level increasing frequency of the temperature sensor at the previous time as the temperature risk level increasing frequency of the temperature sensor at the current time; if the temperature risk level of the temperature sensor does not rise within the first preset time before the current time, setting the rising frequency of the temperature risk level of the temperature sensor at the current time to be 0.
Optionally, the third determining module is further configured to:
Calculating average voltages of all effective voltage data in all the current voltage data, wherein the effective voltage data meets the following conditions: the effective voltage data is smaller than the maximum current voltage data in the current voltage data and larger than the minimum current voltage data in the current voltage data, and the effective voltage data is used for indicating the corresponding voltage sensor to be continuously disconnected; determining the current voltage risk level of each voltage sensor based on a voltage interval to which a difference value between each current voltage data and the average voltage belongs; determining whether the current voltage risk level of each voltage sensor rises compared with the highest historical voltage risk level of the voltage sensor in a second historical preset period from the current moment, and counting the rising times of the voltage risk level of the voltage sensor at the current moment; and determining the voltage fault level based on the maximum voltage risk level rising times in all the voltage sensors at the current moment.
Optionally, the counting the number of rising times of the voltage risk level of the voltage sensor at the current moment includes: if the current voltage risk level is increased compared with the highest historical voltage risk level, increasing the number of times of voltage risk level increase of the voltage sensor at the previous moment by 1 as the number of times of voltage risk level increase of the voltage sensor at the current moment; if the current voltage risk level is not increased compared with the highest historical voltage risk level and the duration that the voltage risk level of the voltage sensor is not increased before the current time is shorter than a second preset duration, the voltage risk level increasing frequency of the voltage sensor at the previous time is used as the voltage risk level increasing frequency of the voltage sensor at the current time; if the voltage risk level of the voltage sensor does not rise within the second preset time before the current time, setting the rising frequency of the voltage risk level of the voltage sensor at the current time to be 0.
Optionally, the early warning module is further configured to: determining a thermal runaway warning level based on the highest fault level of the broken line fault level, the temperature fault level, and the voltage fault level and the number of the highest fault levels; and performing thermal runaway early warning based on the thermal runaway early warning level.
Optionally, the thermal runaway warning level increases with an increase in the highest failure level and with an increase in the number of highest failure levels.
According to a third embodiment of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method according to the first embodiment of the present disclosure.
According to a fourth embodiment of the present disclosure, there is provided an electronic apparatus including: 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 according to the first embodiment of the present disclosure.
By adopting the technical scheme, the disconnection fault level, the temperature fault level and the voltage fault level are firstly determined based on the current temperature data and the current voltage data, and then the thermal runaway early warning is carried out based on the disconnection fault level, the temperature fault level and the voltage fault level, so that the missing report or the false report caused by the thermal runaway early warning carried out by simply depending on the rising or falling rate of the temperature and the voltage in the prior art is avoided, the identifiable thermal runaway is more comprehensive, and rapid warning and even early warning can be carried out on sudden-onset or delayed thermal runaway; in addition, the disconnection information is also considered when the thermal runaway early warning is carried out, so that the reliable thermal runaway early warning can still be carried out under the condition that the temperature data and the voltage data of the battery pack are missing, and the false alarm rate and the missing alarm rate of the thermal runaway early warning are reduced.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosure, and are incorporated in and constitute a part of this specification, illustrate the disclosure and together with the description serve to explain, but do not limit the disclosure. In the drawings:
Fig. 1 is a flow chart of a battery thermal management method according to one embodiment of the present disclosure.
Fig. 2 is yet another flow chart of a battery thermal management method according to one embodiment of the present disclosure.
Fig. 3 is yet another flow chart of a battery thermal management method according to one embodiment of the present disclosure.
Fig. 4 is yet another flow chart of a battery thermal management method according to one embodiment of the present disclosure.
Fig. 5 is a schematic block diagram of a battery thermal management device according to one embodiment of the present disclosure.
Fig. 6 is a block diagram of an electronic device, according to an example embodiment.
Detailed Description
Specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the disclosure, are not intended to limit the disclosure.
Fig. 1 is a flow chart of a battery thermal management method according to one embodiment of the present disclosure. As shown in fig. 1, the method includes the following steps S11 to S15.
In step S11, current temperature data of all temperature sensors that detect the temperature of the battery pack and current voltage data of all voltage sensors that detect the voltage of the unit cells of the battery pack are acquired.
The current temperature data and the current voltage data can be obtained from the battery management system, or the current temperature data and the current voltage data can be directly obtained from the temperature sensor and the voltage sensor respectively.
In step S12, a broken line fault level of the battery pack is determined based on the current temperature data and the current voltage data.
Broken wire refers to the occurrence of broken wire in temperature sensors, voltage sensors, etc. After thermal runaway occurs, the battery pack pressure release valve erupts and then can lead to a large amount of temperature sensor and voltage sensor to appear the broken wire, and then temperature sensor and the voltage sensor of broken wire can not continue to detect the temperature and the voltage of battery pack.
The broken line fault level refers to that a plurality of broken line fault levels exist and are used for respectively representing different severity degrees of broken line faults.
In step S13, a temperature failure level of the battery pack is determined based on the current temperature data.
Temperature fault level means that there are several temperature fault levels for respectively representing different severity of temperature faults. In this disclosure, a temperature failure level represents a degree of discretization between a temperature at which thermal runaway occurs and other normal (or relatively normal) temperatures (i.e., temperatures at which thermal runaway does not occur).
In step S14, a voltage failure level of the battery pack is determined based on the current voltage data.
Voltage fault class means that there are several voltage fault levels for respectively representing different voltage fault severity levels. In this disclosure, voltage fault levels represent the degree of dispersion between the voltage at the time of thermal runaway and other normal (or relatively normal) voltages (i.e., voltages at which thermal runaway does not occur).
It should be understood by those skilled in the art that the above steps S12 to S14 may be performed simultaneously, or may be performed sequentially, for example, sequentially in steps S14, S13, S12, or steps S14, S12 and then S13 may be performed simultaneously, and so on.
In step S15, thermal runaway warning is performed based on the disconnection fault level, the temperature fault level, and the voltage fault level.
By adopting the technical scheme, the disconnection fault level, the temperature fault level and the voltage fault level are firstly determined based on the current temperature data and the current voltage data, and then the thermal runaway early warning is carried out based on the disconnection fault level, the temperature fault level and the voltage fault level, so that the missing report or the false report caused by the thermal runaway early warning carried out by simply depending on the rising or falling rate of the temperature and the voltage in the prior art is avoided, the identifiable thermal runaway is more comprehensive, and rapid warning and even early warning can be carried out on sudden-onset or delayed thermal runaway; in addition, the disconnection information is also considered when the thermal runaway early warning is carried out, so that the reliable thermal runaway early warning can still be carried out under the condition that the temperature data and the voltage data of the battery pack are missing, and the false alarm rate and the missing alarm rate of the thermal runaway early warning are reduced.
Fig. 2 is yet another flow chart of a battery thermal management method according to one embodiment of the present disclosure, showing how to determine a broken line fault level of a battery pack based on current temperature data and current voltage data. As shown in fig. 2, it includes the following steps S12a to S12d.
In step S12a, a temperature sensor and a voltage sensor in a wire-break state are determined based on the current temperature data and the current voltage data.
In one embodiment, if the current temperature data is equal to the preset sampling disconnection return temperature value, it may be determined that disconnection occurs in the temperature sensor corresponding to the current temperature data. Similarly, under the condition that certain current voltage data is equal to a preset sampling disconnection return voltage value, it can be determined that disconnection occurs in a voltage sensor corresponding to the current voltage data.
In step S12b, the disconnection duration of the temperature sensor and the voltage sensor in the disconnection state is counted.
The disconnection duration refers to a duration in which the temperature sensor or the voltage sensor is continuously in a disconnection state since the disconnection has occurred. If the temperature sensor or the voltage sensor returns to normal at a certain time after the disconnection, the disconnection duration of the temperature sensor or the voltage sensor is cleared.
In step S12c, the total number of temperature sensors and voltage sensors for which the disconnection duration is longer than the preset disconnection duration is counted.
The preset wire breakage duration is set according to the actual use condition of the battery pack. For example, it may be 3 seconds, 5 seconds, or other values.
In one embodiment, assuming that there are N temperature sensors with a wire breakage duration longer than a preset wire breakage duration, and M voltage sensors with a wire breakage duration longer than a preset wire breakage duration, in this step, the total number of the temperature sensors and the voltage sensors with a calculated wire breakage duration longer than the preset wire breakage duration is n+m.
In step S12d, the broken line fault level is determined based on the total number.
The number of the broken line fault levels can be preset according to actual conditions. For example, the number of levels of the disconnection fault level may be set to n levels in advance, and the fault severity increases gradually from 0 level to n-1 level.
The corresponding relation between the total number of the disconnection sensors and each disconnection fault level can be preset according to actual conditions.
For example, it may be preset that when the total number counted in step S12c is zero, the level of the disconnection fault is 0, which indicates that the battery pack has no disconnection risk; when the total number is X, the broken line fault level is 1 level; when the total number is X+1, the broken line fault level is level 2; and so on, each time the total number is increased by one, the level of the disconnection fault is increased by one level, and finally, when the total number is more than or equal to X+n-2, the level of the disconnection fault is increased to n-1 level. The value of X may be set according to practical situations, for example, may be 1, 2 or other values.
For another example, it may be preset that when the total number counted in the step S12c is zero, the level of the disconnection fault is 0, which indicates that the battery pack has no disconnection risk; when the total number is in the range of X to x+i, the broken line fault level is level 1; when the total number is within the range of x+i+1 to x+j, the broken line fault level is level 2, where j > i+1; the correspondence between other broken line fault levels and the total number is similar.
By adopting the technical scheme, the broken line fault level of the battery pack can be determined, and the severity of the sampling broken line phenomenon is obtained. Moreover, the technical scheme is to determine the total number of the broken sensors based on the broken duration, and not to count the total number of the broken sensors as soon as the broken sensors are determined, so that a buffer time window is provided to confirm the change trend, the recognition rate of the thermal runaway is higher, and the missing report rate and the false report rate of the thermal runaway early warning are reduced.
Fig. 3 is yet another flow chart of a battery thermal management method according to one embodiment of the present disclosure, showing how to determine a temperature failure level of a battery pack based on current temperature data. As shown in fig. 3, the flow includes the following steps S13a to S13d.
In step S13a, the average temperature of all the effective temperature data among all the current temperature data is calculated, wherein the effective temperature data satisfies the following condition: the effective temperature data is smaller than the maximum current temperature data in the current temperature data and larger than the minimum current temperature data in the current temperature data, and the effective temperature data is used for indicating that the corresponding temperature sensor (namely, the temperature sensor detecting the effective temperature data) is continuously disconnected.
If a certain temperature sensor breaks, the temperature detected by the temperature sensor is broken temperature data, the broken temperature data is non-effective temperature data, and in this case, the temperature risk level of the temperature sensor is considered to be 0.
For example, assuming that there are a total of a temperature sensors detecting the temperature of the battery pack, there are a total of a current temperature data, and among the a current temperature data, assuming that there are a broken line temperature data, 1 maximum current temperature data, 1 minimum current temperature data, the a broken line temperature data, 1 maximum current temperature data, 1 minimum current temperature data are removed, that is, the average temperature of the total a-2 effective temperature data is calculated in this step. In addition, if there are b current temperatures detected by the temperature sensors that are equal and all are the maximum current temperature data, the b maximum current temperature data need to be removed when calculating the average temperature, and the same is true for the minimum current temperature data.
In step S13b, a current temperature risk level of each temperature sensor is determined based on a temperature interval to which a difference between each current temperature data and the average temperature belongs.
The corresponding relation between the temperature risk level and the temperature interval can be preset. For example, the number of levels of temperature risk levels may be preset to be N total, the temperature risk level corresponding to the temperature interval (- ≡c 1) is 0, meaning that the battery pack has no temperature risk, the temperature risk level corresponding to the temperature interval [ C 1,C2 ] is 1, the temperature interval C 2,C3 corresponds to a temperature risk rating of 2, and so on, the temperature risk level corresponding to the temperature interval C N-2,CN-1 is N-2, the temperature risk level corresponding to the temperature interval [ C N-1, + ] is N-1.
In this step, after the temperature interval to which the difference between each current temperature data and the average temperature belongs is obtained, the current temperature risk level of each temperature sensor can be determined based on the preset correspondence between the temperature risk level and the temperature interval, for example, for the maximum current temperature data, the temperature interval to which the difference between the average temperature of the maximum current temperature data field belongs may be calculated first, and then the current temperature risk level of the temperature sensor detecting the maximum current temperature data may be determined based on the preset correspondence between the temperature risk level and the temperature interval. In addition, the current temperature risk level of the temperature sensor detecting the broken line temperature data is 0, irrespective of the temperature section.
In step S13c, it is determined whether the current temperature risk level of each temperature sensor is increased compared to the highest historical temperature risk level of the temperature sensor within the first historical preset period from the current time, and the number of times of the temperature risk level increase of the temperature sensor at the current time is counted.
In one embodiment, assuming that the duration of the first historical preset period is t1, the current temperature risk level of a certain temperature sensor at the current time is two levels, and the highest historical temperature risk level of the temperature sensor in the duration t1 before the current time is one level, so that the current temperature risk level of the temperature sensor is higher than the highest historical temperature risk level in the duration t1 before the current time.
In one embodiment, if the current temperature risk level is increased compared with the highest historical temperature risk level, the number of temperature risk level increases of the temperature sensor at the previous moment is increased by 1 as the number of temperature risk level increases of the temperature sensor at the current moment. For example, assuming that the number of times the temperature risk level of a certain temperature sensor rises at the previous time is N, and the current temperature risk level of the temperature sensor rises compared with the highest historical temperature risk level, the number of times the temperature risk level of the temperature sensor rises at the current time is n+1.
In one embodiment, if the current temperature risk level is not increased compared to the highest historical temperature risk level and the duration of time that the temperature sensor has not increased in the temperature risk level before the current time is shorter than the first preset duration, the number of times the temperature risk level of the temperature sensor increased in the previous time is taken as the number of times the temperature risk level of the temperature sensor increased in the current time. For example, assuming that the current time is T, the first preset duration is T2, the temperature risk level of a certain temperature sensor does not rise from the time T2 before the current time, and T-T2< T2, in this case, the number of temperature risk level rises of the temperature sensor at the previous time is taken as the number of temperature risk level rises of the temperature sensor at the current time.
In one embodiment, if the temperature risk level of the temperature sensor does not rise within a first preset time period before the current time, the number of rising times of the temperature risk level of the temperature sensor at the current time is set to 0. For example, assuming that the current time is T, the first preset duration is T2, the temperature risk level of a certain temperature sensor is not increased from the time T2 before the current time, and T-T2 is greater than or equal to T2, in this case, the number of times of temperature risk level increase of the temperature sensor at the current time is set to 0. By resetting the rising times of the temperature risk level, the thermal runaway early warning false alarm can be prevented under the condition that the temperature risk level is not raised in a long time of the temperature sensor.
In addition, the first preset duration and the first historical preset period may be equal or unequal.
In step S13d, a temperature failure level is determined based on the maximum number of temperature risk level rises among all the temperature sensors at the present time.
The number of the temperature fault levels can be preset according to actual conditions.
The correspondence between the maximum temperature risk level rising times and the temperature fault level may also be preset according to the actual situation.
For example, it may be preset that when the maximum temperature risk level rise number is zero, the temperature failure level is level 0, indicating that the battery pack has no temperature risk; when the number of the maximum temperature risk level rising times is X, the temperature fault level is 1; when the maximum temperature risk level rising times are X+1, the temperature fault level is 2; by analogy, the temperature fault level increases by one step for every increase in the maximum temperature risk level. The value of X may be set according to practical situations, for example, may be 1, 2 or other values.
For another example, when the maximum temperature risk level rising number is zero, the temperature fault level is 0, which indicates that the battery pack has no temperature risk; when the maximum temperature risk level rising times are in the range of X to X+i, the temperature fault level is 1 level; when the maximum temperature risk level rising times are in the range of X+i+1 to X+j, the temperature fault level is 2 levels, wherein j > i+1; the correspondence between the other temperature fault levels and the maximum temperature risk level rising times is similar.
By adopting the technical scheme, the temperature fault grade of the battery pack can be determined, and the severity of the temperature outlier phenomenon is obtained. In addition, the technical scheme is to determine whether the temperature risk level of the temperature sensor rises based on the comparison of the current temperature risk level of the temperature sensor and the highest historical temperature risk level of the temperature sensor in a first historical preset period from the current moment, so that a buffer time window is provided for confirming the change trend, the recognition rate of the thermal runaway is higher, and the missing report rate and the false report rate of the thermal runaway early warning are reduced.
Fig. 4 is yet another flow chart of a battery thermal management method according to one embodiment of the present disclosure, showing how to determine a voltage failure level of a battery pack based on current voltage data. As shown in fig. 4, the flow includes the following steps S14a to S14d.
In step S14a, the average voltage of all effective voltage data among all the current voltage data is calculated, wherein the effective voltage data satisfies the following condition: the effective voltage data is smaller than the maximum present voltage data and larger than the minimum present voltage data in the present voltage data, and the effective voltage data is used for indicating that the corresponding voltage sensor (i.e. the voltage sensor detecting the effective voltage data) is continuously disconnected.
If a disconnection occurs in a certain voltage sensor, the voltage detected by the voltage sensor is disconnection voltage data, which is non-valid voltage data, and in this case, the voltage risk class of the voltage sensor is considered to be 0.
For example, assuming that there are B total voltage sensors detecting voltages of the unit cells, there are B total current voltage data, and among the B current voltage data, assuming that there are B disconnection voltage data, 1 maximum current voltage data, 1 minimum current voltage data, the B disconnection voltage data, 1 maximum current voltage data, 1 minimum current voltage data are removed, that is, an average voltage of the B-2 effective voltage data is calculated in this step. In addition, if the current voltages detected by the c voltage sensors are equal and are all the maximum current voltage data, the c maximum current voltage data needs to be removed when calculating the average voltage, and the same is true for the minimum current voltage data.
In step S14b, the current voltage risk level of each voltage sensor is determined based on the voltage interval to which the difference between each current voltage data and the average voltage belongs.
The correspondence between the voltage risk level and the voltage interval may be preset. For example, the number of levels of voltage risk levels may be preset to be N total, the voltage risk level corresponding to the voltage interval (- ≡v 1) is 0, indicating that the battery pack has no voltage risk, the voltage risk level corresponding to the voltage interval [ V 1,V2 ] is 1, the voltage interval V 2,V3 corresponds to a voltage risk rating of 2, and so on, the voltage interval V N-2,VN-1 corresponds to a voltage risk level of N-2, the voltage risk level corresponding to the voltage interval [ V N-1, + ] is N-1.
In this step, after the voltage interval to which the difference value between each current voltage data and the average voltage belongs is obtained, the current voltage risk level of each voltage sensor can be determined based on the preset correspondence between the voltage risk level and the voltage interval, for example, for the maximum current voltage data, the voltage interval to which the difference value between the average voltage of the maximum current voltage data domain belongs may be calculated first, and then the current voltage risk level of the voltage sensor that detects the maximum current voltage data may be determined based on the preset correspondence between the voltage risk level and the voltage interval. In addition, the current voltage risk level of the voltage sensor detecting the disconnection voltage data is 0, irrespective of the voltage section.
In step S14c, it is determined whether the current voltage risk level of each voltage sensor increases compared to the highest historical voltage risk level of the voltage sensor within the second historical preset period from the current time, and the number of times of voltage risk level increase of the voltage sensor at the current time is counted.
In one embodiment, assuming that the duration of the second historical preset period is t2, the current voltage risk level of a certain voltage sensor at the current time is two levels, and the highest historical voltage risk level of the voltage sensor within the duration of t2 before the current time is one level, so that the current voltage risk level of the voltage sensor is increased compared with the highest historical voltage risk level within the duration of t2 before the current time.
In one embodiment, if the current voltage risk level increases compared to the highest historical voltage risk level, the number of voltage risk level increases of the voltage sensor at the previous time is increased by 1 as the number of voltage risk level increases of the voltage sensor at the current time. For example, assuming that the number of times the voltage risk level of a certain voltage sensor rises at the previous time is N, and the current voltage risk level of the voltage sensor rises compared to the highest historical voltage risk level, the number of times the voltage risk level of the voltage sensor rises at the current time is n+1.
In one embodiment, if the current voltage risk level is not increased compared to the highest historical voltage risk level and the duration that the voltage sensor has not increased in voltage risk level before the current time is shorter than the second preset duration, the number of times the voltage risk level of the voltage sensor increased in voltage risk level at the previous time is taken as the number of times the voltage risk level of the voltage sensor increased in voltage risk level at the current time. For example, assuming that the current time is T, the second preset duration is T2, the voltage risk level of a certain voltage sensor does not rise from the time T2 before the current time, and T-T2< T2, in this case, the number of times of rising the voltage risk level of the voltage sensor at the previous time is taken as the number of times of rising the voltage risk level of the voltage sensor at the current time.
In one embodiment, if the voltage risk level of the voltage sensor does not rise within a second preset time period before the current time, the number of rising times of the voltage risk level of the voltage sensor at the current time is set to 0. For example, assuming that the current time is T, the second preset time period is T2, the voltage risk level of a certain voltage sensor is not increased from the time T2 before the current time, and T-T2 is greater than or equal to T2, in this case, the number of voltage risk level increases of the voltage sensor at the current time is set to 0. By resetting the rising times of the voltage risk level, the thermal runaway early warning false alarm can be prevented under the condition that the voltage risk level is not raised in a long time of the voltage sensor.
In addition, the second preset duration and the second historical preset period may be equal or unequal.
In step S14d, a voltage failure level is determined based on the number of maximum voltage risk level increases in all the voltage sensors at the present time.
The number of voltage failure levels may be preset according to actual conditions.
The correspondence between the maximum voltage risk level rising times and the voltage fault level may also be preset according to the actual situation.
For example, it may be preset that when the maximum voltage risk level rises zero times, the voltage fault level is level 0, which indicates that the battery pack has no voltage risk; when the number of times of rise of the maximum voltage risk level is X, the voltage fault level is 1 level; when the maximum voltage risk level rising times are X+1, the voltage fault level is 2; by analogy, each time the maximum voltage risk level increases by one, the voltage fault level increases by one step. The value of X may be set according to practical situations, for example, may be 1,2 or other values.
For another example, when the maximum voltage risk level rises zero, the voltage fault level is 0, which indicates that the battery pack has no voltage risk; when the maximum voltage risk level rising times are in the range of X to X+i, the voltage fault level is 1 level; when the maximum voltage risk level rising times are in the range of X+i+1 to X+j, the voltage fault level is 2 levels, wherein j is greater than i+1; the correspondence between other voltage failure levels and the number of maximum voltage risk level increases is similar.
By adopting the technical scheme, the voltage fault grade of the battery pack can be determined, and the severity of the voltage outlier phenomenon is obtained. In addition, the technical scheme is to determine whether the voltage risk level of the voltage sensor rises based on the comparison of the current voltage risk level of the voltage sensor and the highest historical voltage risk level of the voltage sensor in a second historical preset period from the current moment, so that a buffer time window is provided for confirming the change trend, the recognition rate of the thermal runaway is higher, and the missing report rate and the false report rate of the thermal runaway early warning are reduced.
In one embodiment, the thermal runaway early warning in the step S15 is performed based on the disconnection fault level, the temperature fault level, and the voltage fault level, and includes: determining a thermal runaway warning level based on a highest fault level of the line break fault level, the temperature fault level, and the voltage fault level and the number of the highest fault levels; and performing thermal runaway early warning based on the thermal runaway early warning level.
The correspondence between the highest failure level and the number thereof and the thermal runaway warning level may be set in advance. One embodiment may be that the thermal runaway warning level increases with an increase in the highest failure level, and with an increase in the number of highest failure levels. Since there are 3 types of faults, i.e. wire break faults, temperature faults and voltage faults, the number of highest fault levels lies in the range of 1 to 3.
In one embodiment, assuming that the number of each type of fault level is N, that is, the line break fault is divided into N levels, the temperature fault is divided into N levels, and the voltage fault is divided into N levels, when the highest fault level in the three types of faults is 0, the thermal runaway early warning level may be preset to be zero, which indicates that the battery pack has no thermal runaway risk; when the highest failure level among the three types of failures is 1 level and the number is 1, which means that the failure levels of the other two types of failures are both 0 level, the thermal runaway warning level may be preset to be 1 level, and so on. The corresponding relation between the highest fault level and the number thereof and the thermal runaway early warning level is not particularly limited, but can be flexibly adjusted according to actual application scenes.
For example, in one application scenario, the disconnection fault level is preset to 0 level, 1 level, and 2 level, the temperature fault level is preset to 0 level, 1 level, and 2 level, and the voltage fault level is preset to 0 level, 1 level, and 2 level. If it is determined in step S15 that the highest fault level among the disconnection fault level, the temperature fault level, and the voltage fault level is 0 level, the thermal runaway early warning level is zero level, indicating that the battery pack has no thermal runaway risk; if it is determined in step S15 that the highest fault level among the disconnection fault level, the temperature fault level and the voltage fault level is level 1, the thermal runaway early warning level is level one, which indicates that the battery pack has a potential hazard, at this time, detailed temperature and voltage data can be uploaded to the big data cloud platform for further analysis by technicians; if it is determined in step S15 that the highest fault level among the disconnection fault level, the temperature fault level and the voltage fault level is 2 levels and the number is 1, the thermal runaway early warning level is two levels, which means that the battery pack has a certain probability of thermal runaway, and the vehicle owner can be reminded of parking inspection and after-sales maintenance; if it is determined in step S15 that the highest fault level among the disconnection fault level, the temperature fault level, and the voltage fault level is 2 levels and the number is 2 or more, the thermal runaway early warning level is three levels, which indicates that the battery pack has a high probability of thermal runaway, and a thermal runaway alarm can be issued to warn the vehicle owner to stop close to the side immediately and keep away from danger.
By adopting the technical scheme of the multi-stage thermal runaway early warning, the false alarm rate and the false alarm rate can be considered to the greatest extent, so that a background technician can analyze the battery pack when the accident level is low, the improved design of the battery pack is facilitated, the thermal runaway early warning is performed when the accident level is high, and the safety of personal and property is facilitated to be maintained.
Fig. 5 is a schematic block diagram of a battery thermal management device according to one embodiment of the present disclosure. As shown in fig. 5, the apparatus includes: an acquisition module 51, configured to acquire current temperature data of all temperature sensors for detecting temperatures of the battery pack and current voltage data of all voltage sensors for detecting voltages of the unit cells of the battery pack; a first determining module 52 for determining a broken line fault level of the battery pack based on the current temperature data and the current voltage data; a second determining module 53 for determining a temperature failure level of the battery pack based on the current temperature data; a third determining module 54 for determining a voltage failure level of the battery pack based on the current voltage data; the early warning module 55 is used for performing thermal runaway early warning based on the broken line fault level, the temperature fault level and the voltage fault level.
By adopting the technical scheme, the disconnection fault level, the temperature fault level and the voltage fault level are firstly determined based on the current temperature data and the current voltage data, and then the thermal runaway early warning is carried out based on the disconnection fault level, the temperature fault level and the voltage fault level, so that the missing report or the false report caused by the thermal runaway early warning carried out by simply depending on the rising or falling rate of the temperature and the voltage in the prior art is avoided, the identifiable thermal runaway is more comprehensive, and rapid warning and even early warning can be carried out on sudden-onset or delayed thermal runaway; in addition, the disconnection information is also considered when the thermal runaway early warning is carried out, so that the reliable thermal runaway early warning can still be carried out under the condition that the temperature data and the voltage data of the battery pack are missing, and the false alarm rate and the missing alarm rate of the thermal runaway early warning are reduced.
Optionally, the first determining module 52 is further configured to: determining a temperature sensor and a voltage sensor in a wire-break state based on the current temperature data and the current voltage data; counting the wire breakage duration time of a temperature sensor and a voltage sensor in a wire breakage state; counting the total number of temperature sensors and voltage sensors with the wire breakage duration longer than the preset wire breakage duration; the broken line fault level is determined based on the total number.
Optionally, the second determining module 53 is further configured to: calculating the average temperature of all effective temperature data in all the current temperature data, wherein the effective temperature data meets the following conditions: the effective temperature data is smaller than the maximum current temperature data in the current temperature data and larger than the minimum current temperature data in the current temperature data, and the effective temperature data is used for indicating the corresponding temperature sensor to be continuously connected; determining the current temperature risk level of each temperature sensor based on a temperature interval to which a difference value between each current temperature data and the average temperature belongs; determining whether the current temperature risk level of each temperature sensor rises compared with the highest historical temperature risk level of the temperature sensor in a first historical preset period from the current moment, and counting the rising times of the temperature risk level of the temperature sensor at the current moment; and determining the temperature fault level based on the maximum temperature risk level rising times in all the temperature sensors at the current moment.
Optionally, the counting the number of rising times of the temperature risk level of the temperature sensor at the current moment includes: if the current temperature risk level is increased compared with the highest historical temperature risk level, increasing the number of times of temperature risk level increase of the temperature sensor at the previous moment by 1 as the number of times of temperature risk level increase of the temperature sensor at the current moment; if the current temperature risk level is not increased compared with the highest historical temperature risk level and the time that the temperature risk level of the temperature sensor is not increased before the current time is shorter than the first preset time, taking the temperature risk level increasing frequency of the temperature sensor at the previous time as the temperature risk level increasing frequency of the temperature sensor at the current time; if the temperature risk level of the temperature sensor does not rise within the first preset time before the current time, setting the rising frequency of the temperature risk level of the temperature sensor at the current time to be 0.
Optionally, the third determining module 54 is further configured to: calculating average voltages of all effective voltage data in all the current voltage data, wherein the effective voltage data meets the following conditions: the effective voltage data is smaller than the maximum current voltage data in the current voltage data and larger than the minimum current voltage data in the current voltage data, and the effective voltage data is used for indicating the corresponding voltage sensor to be continuously disconnected; determining the current voltage risk level of each voltage sensor based on a voltage interval to which a difference value between each current voltage data and the average voltage belongs; determining whether the current voltage risk level of each voltage sensor rises compared with the highest historical voltage risk level of the voltage sensor in a second historical preset period from the current moment, and counting the rising times of the voltage risk level of the voltage sensor at the current moment; and determining the voltage fault level based on the maximum voltage risk level rising times in all the voltage sensors at the current moment.
Optionally, the counting the number of rising times of the voltage risk level of the voltage sensor at the current moment includes: if the current voltage risk level is increased compared with the highest historical voltage risk level, increasing the number of times of voltage risk level increase of the voltage sensor at the previous moment by 1 as the number of times of voltage risk level increase of the voltage sensor at the current moment; if the current voltage risk level is not increased compared with the highest historical voltage risk level and the duration that the voltage risk level of the voltage sensor is not increased before the current time is shorter than a second preset duration, the voltage risk level increasing frequency of the voltage sensor at the previous time is used as the voltage risk level increasing frequency of the voltage sensor at the current time; if the voltage risk level of the voltage sensor does not rise within the second preset time before the current time, setting the rising frequency of the voltage risk level of the voltage sensor at the current time to be 0.
Optionally, the early warning module 55 is further configured to: determining a thermal runaway warning level based on a highest fault level of the line break fault level, the temperature fault level, and the voltage fault level and the number of the highest fault levels; and performing thermal runaway early warning based on the thermal runaway early warning level.
Optionally, the thermal runaway warning level increases with an increase in the highest failure level and with an increase in the number of highest failure levels.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Fig. 6 is a block diagram of an electronic device 700, according to an example embodiment. As shown in fig. 6, the electronic device 700 may include: a processor 701, a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input/output (I/O) interface 704, and a communication component 705.
Wherein the processor 701 is configured to control the overall operation of the electronic device 700 to perform all or part of the steps of the battery thermal management method described above. The memory 702 is used to store various types of data to support operation on the electronic device 700, which may include, for example, instructions for any application or method operating on the electronic device 700, as well as application-related data, such as contact data, messages sent and received, pictures, audio, video, and so forth. The Memory 702 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 703 can include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 702 or transmitted through the communication component 705. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 704 provides an interface between the processor 701 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is for wired or wireless communication between the electronic device 700 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, near field Communication (NFC for short), 2G, 3G or 4G, or a combination of one or more thereof, so the corresponding Communication component 705 may comprise: wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the electronic device 700 may be implemented by one or more Application Specific Integrated Circuits (ASIC), digital signal Processor (DIGITAL SIGNAL Processor, DSP), digital signal processing device (DIGITAL SIGNAL Processing Device, DSPD), programmable logic device (Programmable Logic Device, PLD), field programmable gate array (Field Programmable GATE ARRAY, FPGA), controller, microcontroller, microprocessor, or other electronic components for performing the battery thermal management method described above.
In another exemplary embodiment, a computer readable storage medium is also provided that includes program instructions that, when executed by a processor, implement the steps of the battery thermal management method described above. For example, the computer readable storage medium may be the memory 702 including program instructions described above that are executable by the processor 701 of the electronic device 700 to perform the battery thermal management method described above.
The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the present disclosure is not limited to the specific details of the embodiments described above, and various simple modifications may be made to the technical solutions of the present disclosure within the scope of the technical concept of the present disclosure, and all the simple modifications belong to the protection scope of the present disclosure.
In addition, the specific features described in the above embodiments may be combined in any suitable manner without contradiction. The various possible combinations are not described further in this disclosure in order to avoid unnecessary repetition.
Moreover, any combination between the various embodiments of the present disclosure is possible as long as it does not depart from the spirit of the present disclosure, which should also be construed as the disclosure of the present disclosure.

Claims (10)

1. A method of thermal management of a battery, comprising:
Acquiring current temperature data of all temperature sensors for detecting the temperature of a battery pack and current voltage data of all voltage sensors for detecting the voltage of single batteries of the battery pack;
Determining a broken line fault level of the battery pack based on the current temperature data and the current voltage data;
Determining a temperature fault level of the battery pack based on the current temperature data;
Determining a voltage failure level of the battery pack based on the current voltage data;
performing thermal runaway early warning based on the broken line fault level, the temperature fault level and the voltage fault level;
Wherein the determining a temperature failure level of the battery pack based on the current temperature data includes:
Calculating the average temperature of all effective temperature data in all the current temperature data, wherein the effective temperature data meets the following conditions: the effective temperature data is smaller than the maximum current temperature data in the current temperature data and larger than the minimum current temperature data in the current temperature data, and the effective temperature data is used for indicating the corresponding temperature sensor to be continuously connected;
Determining the current temperature risk level of each temperature sensor based on a temperature interval to which a difference value between each current temperature data and the average temperature belongs;
Determining whether the current temperature risk level of each temperature sensor rises compared with the highest historical temperature risk level of the temperature sensor in a first historical preset period from the current moment, and counting the rising times of the temperature risk level of the temperature sensor at the current moment;
And determining the temperature fault level based on the maximum temperature risk level rising times in all the temperature sensors at the current moment.
2. The method of claim 1, wherein the determining a wire break failure level of the battery pack based on the current temperature data and the current voltage data comprises:
determining a temperature sensor and a voltage sensor in a wire-break state based on the current temperature data and the current voltage data;
Counting the wire breakage duration time of a temperature sensor and a voltage sensor in a wire breakage state;
counting the total number of temperature sensors and voltage sensors with the wire breakage duration longer than the preset wire breakage duration;
The broken line fault level is determined based on the total number.
3. The method according to claim 1, wherein counting the number of temperature risk level rises of the temperature sensor at the current time includes:
if the current temperature risk level is increased compared with the highest historical temperature risk level, increasing the number of times of temperature risk level increase of the temperature sensor at the previous moment by 1 as the number of times of temperature risk level increase of the temperature sensor at the current moment;
if the current temperature risk level is not increased compared with the highest historical temperature risk level and the time that the temperature risk level of the temperature sensor is not increased before the current time is shorter than the first preset time, taking the temperature risk level increasing frequency of the temperature sensor at the previous time as the temperature risk level increasing frequency of the temperature sensor at the current time;
If the temperature risk level of the temperature sensor does not rise within the first preset time before the current time, setting the rising frequency of the temperature risk level of the temperature sensor at the current time to be 0.
4. The method of claim 1, wherein the determining a voltage failure level of the battery pack based on the current voltage data comprises:
Calculating average voltages of all effective voltage data in all the current voltage data, wherein the effective voltage data meets the following conditions: the effective voltage data is smaller than the maximum current voltage data in the current voltage data and larger than the minimum current voltage data in the current voltage data, and the effective voltage data is used for indicating the corresponding voltage sensor to be continuously disconnected;
Determining the current voltage risk level of each voltage sensor based on a voltage interval to which a difference value between each current voltage data and the average voltage belongs;
Determining whether the current voltage risk level of each voltage sensor rises compared with the highest historical voltage risk level of the voltage sensor in a second historical preset period from the current moment, and counting the rising times of the voltage risk level of the voltage sensor at the current moment;
And determining the voltage fault level based on the maximum voltage risk level rising times in all the voltage sensors at the current moment.
5. The method of claim 4, wherein counting the number of voltage risk level rises of the voltage sensor at the current time comprises:
If the current voltage risk level is increased compared with the highest historical voltage risk level, increasing the number of times of voltage risk level increase of the voltage sensor at the previous moment by 1 as the number of times of voltage risk level increase of the voltage sensor at the current moment;
If the current voltage risk level is not increased compared with the highest historical voltage risk level and the duration that the voltage risk level of the voltage sensor is not increased before the current time is shorter than a second preset duration, the voltage risk level increasing frequency of the voltage sensor at the previous time is used as the voltage risk level increasing frequency of the voltage sensor at the current time;
if the voltage risk level of the voltage sensor does not rise within the second preset time before the current time, setting the rising frequency of the voltage risk level of the voltage sensor at the current time to be 0.
6. The method of any one of claims 1 to 5, wherein the performing thermal runaway warning based on the wire break fault level, the temperature fault level, and the voltage fault level comprises:
determining a thermal runaway warning level based on the highest fault level of the broken line fault level, the temperature fault level, and the voltage fault level and the number of the highest fault levels;
and performing thermal runaway early warning based on the thermal runaway early warning level.
7. The method of claim 6, wherein the thermal runaway warning level increases with an increase in the highest failure level and with an increase in the number of highest failure levels.
8. A battery thermal management device, comprising:
The device comprises an acquisition module, a voltage detection module and a control module, wherein the acquisition module is used for acquiring current temperature data of all temperature sensors for detecting the temperature of a battery pack and current voltage data of all voltage sensors for detecting the voltage of single batteries of the battery pack;
The first determining module is used for determining the broken line fault level of the battery pack based on the current temperature data and the current voltage data;
a second determining module for determining a temperature failure level of the battery pack based on the current temperature data;
a third determining module for determining a voltage failure level of the battery pack based on the current voltage data;
the early warning module is used for carrying out thermal runaway early warning based on the broken line fault level, the temperature fault level and the voltage fault level;
wherein the second determining module is further configured to:
Calculating the average temperature of all effective temperature data in all the current temperature data, wherein the effective temperature data meets the following conditions: the effective temperature data is smaller than the maximum current temperature data in the current temperature data and larger than the minimum current temperature data in the current temperature data, and the effective temperature data is used for indicating the corresponding temperature sensor to be continuously connected; determining the current temperature risk level of each temperature sensor based on a temperature interval to which a difference value between each current temperature data and the average temperature belongs; determining whether the current temperature risk level of each temperature sensor rises compared with the highest historical temperature risk level of the temperature sensor in a first historical preset period from the current moment, and counting the rising times of the temperature risk level of the temperature sensor at the current moment; and determining the temperature fault level based on the maximum temperature risk level rising times in all the temperature sensors at the current moment.
9. 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 steps of the method according to any one of claims 1-7.
10. An electronic device, 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 of any one of claims 1-7.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107539145A (en) * 2017-08-21 2018-01-05 北京新能源汽车股份有限公司 Protection method and device for power battery of electric automobile and electric automobile
CN109786872A (en) * 2019-03-18 2019-05-21 北京航空航天大学 A kind of lithium ion battery thermal runaway early warning system and method
CN110068768A (en) * 2019-04-30 2019-07-30 北京长城华冠汽车科技股份有限公司 Battery thermal runaway detection method and device
CN110957542A (en) * 2019-04-30 2020-04-03 宁德时代新能源科技股份有限公司 Battery thermal runaway detection method, device and system and battery management unit
CN110967643A (en) * 2019-04-30 2020-04-07 宁德时代新能源科技股份有限公司 Thermal runaway detection circuit and method
CN111391668A (en) * 2020-03-31 2020-07-10 威睿电动汽车技术(宁波)有限公司 Battery thermal runaway early warning processing method, device, equipment and storage medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107539145A (en) * 2017-08-21 2018-01-05 北京新能源汽车股份有限公司 Protection method and device for power battery of electric automobile and electric automobile
CN109786872A (en) * 2019-03-18 2019-05-21 北京航空航天大学 A kind of lithium ion battery thermal runaway early warning system and method
CN110068768A (en) * 2019-04-30 2019-07-30 北京长城华冠汽车科技股份有限公司 Battery thermal runaway detection method and device
CN110957542A (en) * 2019-04-30 2020-04-03 宁德时代新能源科技股份有限公司 Battery thermal runaway detection method, device and system and battery management unit
CN110967643A (en) * 2019-04-30 2020-04-07 宁德时代新能源科技股份有限公司 Thermal runaway detection circuit and method
CN111391668A (en) * 2020-03-31 2020-07-10 威睿电动汽车技术(宁波)有限公司 Battery thermal runaway early warning processing method, device, equipment and storage medium

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