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CN110370984A - Power battery thermal runaway method for early warning - Google Patents

Power battery thermal runaway method for early warning Download PDF

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Publication number
CN110370984A
CN110370984A CN201910559034.7A CN201910559034A CN110370984A CN 110370984 A CN110370984 A CN 110370984A CN 201910559034 A CN201910559034 A CN 201910559034A CN 110370984 A CN110370984 A CN 110370984A
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thermal runaway
fault bit
difference value
power battery
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CN110370984B (en
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潘岳
冯旭宁
欧阳明高
卢兰光
韩雪冰
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Zhili Iotian Hangzhou Technology Co ltd
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Tsinghua University
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/08Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0808Diagnosing performance data
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/08Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0816Indicating performance data, e.g. occurrence of a malfunction
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/40Drive Train control parameters
    • B60L2240/54Drive Train control parameters related to batteries
    • B60L2240/545Temperature
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/40Drive Train control parameters
    • B60L2240/54Drive Train control parameters related to batteries
    • B60L2240/549Current
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Fuel Cell (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Secondary Cells (AREA)

Abstract

本申请提供一种动力电池热失控预警方法,通过电池单体电压和电池单体温度的实时检测数据,计算最低电池单体电压对平均电压的异常偏移,计算最高单体温度对平均温度的异常偏移。检测电池模组的电池值,并根据上述各种检测参数,计算荷电状态的异常偏移。同时实时检测可燃气体浓度和气体压力,判断可燃气体浓度是否达到阈值,气体压力是否达到阈值。综合考虑以上各参数,进行热失控预警。通过该方法可以在热失控发生前将热失控预警出来,从而很大程度降低了热失控造成的危害。本申请将有助于提高动力电池安全管理的可靠性,减少锂离子动力电池安全性事故的发生。

This application provides a power battery thermal runaway early warning method, which calculates the abnormal deviation of the lowest battery cell voltage from the average voltage and calculates the difference between the highest cell temperature and the average temperature through the real-time detection data of the battery cell voltage and battery cell temperature. Exception offset. Detect the battery value of the battery module, and calculate the abnormal shift of the state of charge according to the above-mentioned various detection parameters. Simultaneously detect the combustible gas concentration and gas pressure in real time, and judge whether the combustible gas concentration reaches the threshold and whether the gas pressure reaches the threshold. Considering the above parameters comprehensively, a thermal runaway warning is carried out. Through this method, the thermal runaway can be warned before the thermal runaway occurs, thereby reducing the harm caused by the thermal runaway to a great extent. The application will help to improve the reliability of power battery safety management and reduce the occurrence of lithium-ion power battery safety accidents.

Description

动力电池热失控预警方法Power battery thermal runaway early warning method

技术领域technical field

本申请涉及电池技术领域,特别是涉及一种动力电池热失控预警方法。The present application relates to the field of battery technology, in particular to a thermal runaway warning method for a power battery.

背景技术Background technique

为缓解能源短缺和环境污染问题,我国已经将新能源汽车列入战略性新兴技术产业。汽车动力系统电动化已逐渐成为未来汽车技术发展的主要趋势之一。汽车动力系统电动化的主要特征之一即使用电能替代化学能作为车辆主要的驱动能量来源。锂离子动力电池因其具有比能量高、自放电率低以及循环寿命长的特点,是目前最具实用价值的纯电动汽车能量源。In order to alleviate the problems of energy shortage and environmental pollution, my country has listed new energy vehicles as a strategic emerging technology industry. The electrification of automobile power system has gradually become one of the main trends in the development of future automobile technology. One of the main characteristics of the electrification of the vehicle power system is to use electrical energy instead of chemical energy as the main source of driving energy for the vehicle. Due to its high specific energy, low self-discharge rate and long cycle life, lithium-ion power batteries are currently the most practical energy source for pure electric vehicles.

然而,随着锂离子电池在电动汽车上的大规模应用,以热失控为代表的锂离子动力电池安全性事故时有发生。锂离子动力电池事故通常表现为以热失控为核心的温度骤升、冒烟、起火甚至爆炸等现象。热失控事故通常在短时间内释放出大量能量,极易造成人员伤亡与财产损失。因此热失控事故会打击民众接受电动汽车的信心,并阻碍电动汽车的普及。However, with the large-scale application of lithium-ion batteries in electric vehicles, safety accidents of lithium-ion power batteries represented by thermal runaway occur from time to time. Lithium-ion power battery accidents usually manifest as a sudden temperature rise, smoke, fire or even explosion with thermal runaway as the core. Thermal runaway accidents usually release a large amount of energy in a short period of time, which can easily cause casualties and property losses. Therefore, thermal runaway accidents will dampen people's confidence in accepting electric vehicles and hinder the popularization of electric vehicles.

锂离子动力电池热失控事故可能由机械滥用(挤压、针刺、碰撞等)、电滥用(过充电、过放电、内短路等)和热滥用引发。这三种滥用之间存在一定的内在联系,机械滥用导致电池的变形,而电池的变形有可能导致内短路,即导致电滥用,而电滥用往往伴随着焦耳热即化学反应热,热量的积聚导致热滥用,最终热滥用导致电池温度升高,引起热失控链式反应。Lithium-ion power battery thermal runaway accidents may be caused by mechanical abuse (extrusion, acupuncture, collision, etc.), electrical abuse (overcharge, overdischarge, internal short circuit, etc.) and thermal abuse. There is a certain internal connection between these three abuses. Mechanical abuse leads to battery deformation, and battery deformation may lead to internal short circuit, that is, electrical abuse, and electrical abuse is often accompanied by Joule heat, which is the heat of chemical reaction, and the accumulation of heat This leads to thermal abuse, and eventually thermal abuse leads to an increase in battery temperature, causing a thermal runaway chain reaction.

相关研究表明,目前尚无绝对可靠的方法避免热失控的反生以及热失控在电池系统中的蔓延,因此,为了降低热失控的危害,在热失控发生之前做出热失控预警极为必要。传统的热失控预警方法检测精度低。Relevant studies have shown that there is currently no absolutely reliable method to avoid the recurrence of thermal runaway and the spread of thermal runaway in the battery system. Therefore, in order to reduce the harm of thermal runaway, it is extremely necessary to make thermal runaway warnings before thermal runaway occurs. The traditional thermal runaway early warning method has low detection accuracy.

发明内容Contents of the invention

基于此,有必要针对传统的热失控预警方法检测精度低的问题,提供一种动力电池热失控预警方法。Based on this, it is necessary to provide a power battery thermal runaway early warning method for the problem of low detection accuracy of the traditional thermal runaway early warning method.

一种动力电池热失控预警方法,包括:A thermal runaway warning method for a power battery, comprising:

S10,实时获取动力电池的热失控参数,所述热失控参数包括动力电池模组中的每一个电池单体的电压值和温度值,所述热失控参数还包括所述动力电池模组的电流值、可燃气体的浓度及气体的压力;S10, acquire the thermal runaway parameters of the power battery in real time, the thermal runaway parameters include the voltage value and temperature value of each battery cell in the power battery module, and the thermal runaway parameters also include the current of the power battery module value, the concentration of combustible gas and the pressure of gas;

S20,根据每一个所述电压值、每一个所述温度值、所述电流值、所述可燃气体的浓度以及所述气体的压力,分别获得第一故障位、第二故障位、第三故障位、第四故障位以及第五故障位;S20. According to each of the voltage values, each of the temperature values, the current value, the concentration of the combustible gas, and the pressure of the gas, respectively obtain a first fault bit, a second fault bit, and a third fault bit, the fourth fault bit and the fifth fault bit;

S30,根据所述第一故障位、所述第二故障位、所述第三故障位、所述第四故障位以及所述第五故障位获得总故障位;S30. Obtain a total fault bit according to the first fault bit, the second fault bit, the third fault bit, the fourth fault bit, and the fifth fault bit;

S40,判断所述总故障位是否大于或等于预设故障位阈值,当所述总故障位大于或等于所述预设故障位阈值时,进行热失控报警。S40, judging whether the total fault bits are greater than or equal to a preset fault bit threshold, and performing a thermal runaway alarm when the total fault bits are greater than or equal to the preset fault bit threshold.

在其中一个实施例中,获得所述第五故障位的具体步骤包括:In one of the embodiments, the specific steps of obtaining the fifth fault bit include:

根据每一个所述电池单体的电压值、每一个所述电池单体的温度值以及所述动力电池模组的电流值,获得平均荷电状态值和最小荷电状态值;Obtain an average state of charge value and a minimum state of charge value according to the voltage value of each of the battery cells, the temperature value of each of the battery cells, and the current value of the power battery module;

根据所述平均荷电状态值和所述最小荷电状态值,获得实际荷电状态差异值;Obtain an actual state of charge difference value according to the average state of charge value and the minimum state of charge value;

根据所述实际荷电状态差异值,获得所述第五故障位。The fifth fault bit is obtained according to the actual SOC difference value.

在其中一个实施例中,所述根据所述实际荷电状态差异值,获得所述第五故障位的具体步骤包括:In one of the embodiments, the specific step of obtaining the fifth fault bit according to the actual SOC difference value includes:

将预设荷电状态差异值的范围划分为多个荷电状态参考区间;Dividing the range of preset state of charge difference values into multiple state of charge reference intervals;

判断所述实际荷电状态差异值所属的荷电状态参考区间,进而确定所述第五故障位。Judging the SOC reference interval to which the actual SOC difference value belongs, and then determining the fifth fault bit.

在其中一个实施例中,获得所述第一故障位的具体步骤包括:In one of the embodiments, the specific steps of obtaining the first fault bit include:

根据每一个所述电池单体的电压值,获得单体电压平均值和单体电压最小值;Obtaining the average value of the cell voltage and the minimum value of the cell voltage according to the voltage value of each of the battery cells;

根据所述单体电压平均值和所述单体电压最小值,获得实际电池单体电压差异值;Obtain an actual battery cell voltage difference value according to the average value of the cell voltage and the minimum value of the cell voltage;

根据所述实际电池单体电压差异值,获得所述第一故障位。The first fault bit is obtained according to the actual battery cell voltage difference value.

在其中一个实施例中,所述根据所述实际电池单体电压差异值,获得所述第一故障位的具体步骤包括:In one of the embodiments, the specific step of obtaining the first fault bit according to the actual battery cell voltage difference value includes:

将预设电池单体电压差异值的范围划分为多个电压参考区间;Dividing the range of preset battery cell voltage difference values into a plurality of voltage reference intervals;

判断所述实际电池单体电压差异值所属的电压参考区间,进而确定所述第一故障位。Judging the voltage reference interval to which the actual battery cell voltage difference value belongs, and then determining the first fault bit.

在其中一个实施例中,获得所述第二故障位的具体步骤包括:In one of the embodiments, the specific steps of obtaining the second fault bit include:

所述S30,根据每一个所述电池单体的温度值,获得单体温度平均值和单体温度最大值;The S30, according to the temperature value of each of the battery cells, obtain the average value of the cell temperature and the maximum value of the cell temperature;

根据所述单体温度平均值和所述单体温度最大值,获得实际电池单体温度差异值;Obtain an actual battery cell temperature difference value according to the average cell temperature and the maximum cell temperature;

根据所述实际电池单体温度差异值,获得所述第二故障位。The second fault bit is obtained according to the actual battery cell temperature difference value.

在其中一个实施例中,所述根据所述实际电池单体温度差异值,获得所述第二故障位的具体步骤包括:In one of the embodiments, the specific step of obtaining the second fault bit according to the actual battery cell temperature difference value includes:

将预设电池单体温度差异值的范围划分为多个温度参考区间;Dividing the range of preset battery cell temperature difference values into multiple temperature reference intervals;

判断所述实际电池单体温度差异值所属的温度参考区间,进而确定所述第二故障位。Judging the temperature reference interval to which the actual battery cell temperature difference value belongs, and then determining the second fault bit.

在其中一个实施例中,获得所述第三故障位的具体步骤包括:In one of the embodiments, the specific steps of obtaining the third fault bit include:

根据当前时刻可燃气体的浓度值和初始时刻可燃气体的浓度值,获得所述电池模组的实际浓度差异值;Obtain the actual concentration difference value of the battery module according to the concentration value of the combustible gas at the current moment and the concentration value of the combustible gas at the initial moment;

根据所述实际浓度差异值,获得所述第三故障位。According to the actual concentration difference value, the third fault bit is obtained.

在其中一个实施例中,所述根据所述实际浓度差异值,获得所述第三故障位的具体步骤包括:In one of the embodiments, the specific step of obtaining the third fault bit according to the actual concentration difference value includes:

将预设电池模组浓度差异值的范围划分为多个浓度参考区间;Divide the range of preset battery module concentration difference values into multiple concentration reference intervals;

判断所述实际浓度差异值所属的浓度参考区间,进而确定所述第三故障位。Judging the concentration reference interval to which the actual concentration difference value belongs, and then determining the third fault bit.

在其中一个实施例中,获得所述第四故障位的具体步骤包括:In one of the embodiments, the specific steps of obtaining the fourth fault bit include:

根据当前时刻气体的压力值和初始时刻气体的压力值,获得所述电池模组的实际压力差异值;Obtain the actual pressure difference value of the battery module according to the pressure value of the gas at the current moment and the pressure value of the gas at the initial moment;

根据所述实际压力差异值,获得所述第四故障位。The fourth fault bit is obtained according to the actual pressure difference value.

在其中一个实施例中,所述根据所述实际压力差异值,获得所述第四故障位的具体步骤包括:In one of the embodiments, the specific step of obtaining the fourth fault bit according to the actual pressure difference value includes:

将预设电池模组压力差异值的范围划分为多个压力参考区间;Divide the range of preset battery module pressure difference values into multiple pressure reference intervals;

判断所述实际压力差异值所属的压力参考区间,进而确定所述第四故障位。Judging the pressure reference interval to which the actual pressure difference value belongs, and then determining the fourth fault bit.

一种计算机设备,包括存储器、处理器及存储在存储器上并在处理器上运行的计算机程序,所述处理器执行所述计算机程序时实现上述实施例中任一项所述的动力电池热失控预警方法的步骤。A computer device, including a memory, a processor, and a computer program stored on the memory and run on the processor, when the processor executes the computer program, the thermal runaway of the power battery described in any one of the above embodiments is realized Steps in the early warning method.

上述动力电池热失控预警方法,通过电池单体电压和电池单体温度的实时检测数据,计算最低电池单体电压对平均电压的异常偏移,计算最高单体温度对平均温度的异常偏移。检测电池模组的电池值,并根据上述各种检测参数,计算荷电状态的异常偏移。同时实时检测可燃气体浓度和气体压力,判断可燃气体浓度是否达到阈值,气体压力是否达到阈值。综合考虑以上各参数,进行热失控预警。通过该方法可以在热失控发生前将热失控预警出来,从而很大程度降低了热失控造成的危害。本申请将有助于提高动力电池安全管理的可靠性,减少锂离子动力电池安全性事故的发生。The above-mentioned power battery thermal runaway warning method uses the real-time detection data of battery cell voltage and battery cell temperature to calculate the abnormal deviation of the lowest battery cell voltage from the average voltage, and calculate the abnormal deviation of the highest cell temperature from the average temperature. Detect the battery value of the battery module, and calculate the abnormal shift of the state of charge according to the above-mentioned various detection parameters. Simultaneously detect the combustible gas concentration and gas pressure in real time, and judge whether the combustible gas concentration reaches the threshold and whether the gas pressure reaches the threshold. Considering the above parameters comprehensively, a thermal runaway warning is carried out. Through this method, the thermal runaway can be warned before the thermal runaway occurs, thereby reducing the harm caused by the thermal runaway to a great extent. The application will help to improve the reliability of power battery safety management and reduce the occurrence of lithium-ion power battery safety accidents.

附图说明Description of drawings

图1为本申请一个实施例提供的动力电池热失控预警方法流程图;Fig. 1 is a flowchart of a power battery thermal runaway warning method provided by an embodiment of the present application;

图2为本申请一个实施例提供的总故障位的计算和热失控预警的判定条件示意图;Fig. 2 is a schematic diagram of the calculation of the total fault position and the judgment conditions of the thermal runaway warning provided by one embodiment of the present application;

图3为本申请一个实施例提供的各参数的故障位和总故障位的曲线图。FIG. 3 is a graph of fault bits and total fault bits of each parameter provided by an embodiment of the present application.

具体实施方式Detailed ways

为使本申请的上述目的、特征和优点能够更加明显易懂,下面结合附图对本申请的具体实施方式做详细的说明。在下面的描述中阐述了很多具体细节以便于充分理解本申请。但是本申请能够以很多不同于在此描述的其它方式来实施,本领域技术人员可以在不违背本申请内涵的情况下做类似改进,因此本申请不受下面公开的具体实施的限制。In order to make the above-mentioned purpose, features and advantages of the present application more obvious and understandable, the specific implementation manners of the present application will be described in detail below in conjunction with the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar improvements without departing from the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

需要说明的是,当元件被称为“设置于”另一个元件,它可以直接在另一个元件上或者也可以存在居中的元件。当一个元件被认为是“连接”另一个元件,它可以是直接连接到另一个元件或者可能同时存在居中元件。It should be noted that when an element is referred to as being “disposed on” another element, it may be directly on the other element or there may also be an intervening element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or intervening elements may also be present.

除非另有定义,本文所使用的所有的技术和科学术语与属于本申请的技术领域的技术人员通常理解的含义相同。本文中在本申请的说明书中所使用的术语只是为了描述具体的实施例的目的,不是旨在于限制本申请。本文所使用的术语“及/或”包括一个或多个相关的所列项目的任意的和所有的组合。Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terms used herein in the specification of the application are only for the purpose of describing specific embodiments, and are not intended to limit the application. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

请参见图1,本申请一个实施例提供一种动力电池热失控预警方法。所述动力电池热失控预警方法包括:Referring to FIG. 1 , an embodiment of the present application provides a thermal runaway warning method for a power battery. The power battery thermal runaway warning method includes:

S10,实时获取动力电池的热失控参数,所述热失控参数包括动力电池模组中的每一个电池单体的电压值和温度值,所述热失控参数还包括所述动力电池模组的电流值、可燃气体的浓度及气体的压力。步骤S10中,所述动力电池可以为锂离子动力电池。所述锂离子动力电池的额定容量可以为25Ah。可以通过多种传感器实时获取上述检测参数。S10, acquire the thermal runaway parameters of the power battery in real time, the thermal runaway parameters include the voltage value and temperature value of each battery cell in the power battery module, and the thermal runaway parameters also include the current of the power battery module value, the concentration of combustible gas and the pressure of gas. In step S10, the power battery may be a lithium-ion power battery. The rated capacity of the lithium-ion power battery may be 25Ah. The above detection parameters can be obtained in real time through various sensors.

S20,根据每一个所述电压值、每一个所述温度值、所述电流值、所述可燃气体的浓度以及所述气体的压力,分别获得第一故障位、第二故障位、第三故障位、第四故障位以及第五故障位。具体的,可以根据每一个所述电池单体的电压值,获得单体电压平均值和单体电压最小值,根据所述单体电压平均值和所述单体电压最小值获得第一故障位。可以通过处理器对同一时刻所述电池模组中所有电池单体的单体电压值进行排序,并计算当前时刻的电压平均值。所述第一故障位可以取0、1或2。所述故障位的值越大,越有可能要发生热失控。S20. According to each of the voltage values, each of the temperature values, the current value, the concentration of the combustible gas, and the pressure of the gas, respectively obtain a first fault bit, a second fault bit, and a third fault bit, the fourth fault bit, and the fifth fault bit. Specifically, the average value of the cell voltage and the minimum value of the cell voltage can be obtained according to the voltage value of each of the battery cells, and the first fault bit can be obtained according to the average value of the cell voltage and the minimum value of the cell voltage . The processor can sort the cell voltage values of all the battery cells in the battery module at the same time, and calculate the average voltage at the current time. The first fault bit can be 0, 1 or 2. The larger the value of the fault bit, the more likely thermal runaway will occur.

具体的,根据每一个所述电池单体的温度值,获得单体温度平均值和单体温度最大值,根据所述单体温度平均值和所述单体温度最大值获得第二故障位。可以通过处理器对同一时刻所述电池模组中所有电池单体的单体温度值进行排序,并计算当前时刻的温度平均值。所述第二故障位可以取0、1或2。所述故障位的值越大,越有可能要发生热失控。Specifically, according to the temperature value of each of the battery cells, an average value of the cell temperature and a maximum value of the cell temperature are obtained, and a second fault bit is obtained according to the average value of the cell temperature and the maximum value of the cell temperature. The processor can sort the temperature values of all the battery cells in the battery module at the same time, and calculate the average temperature at the current time. The second fault bit can be 0, 1 or 2. The larger the value of the fault bit, the more likely thermal runaway will occur.

具体的,根据所述动力电池模组的可燃气体的实时浓度值,获得第三故障位。在发生热失控前,所述可燃气体的浓度值会急剧增加,因此可以通过处理器判断所述可燃气体浓度的差异值的大小,进而确定所述第三故障位的值。所述第三故障位可以取0或1。Specifically, the third fault bit is obtained according to the real-time concentration value of the combustible gas of the power battery module. Before thermal runaway occurs, the concentration value of the combustible gas will increase sharply, so the value of the difference of the combustible gas concentration can be judged by the processor, and then the value of the third fault bit can be determined. The third fault bit can be 0 or 1.

具体的,根据所述动力电池模组的气体的实时压力值,获得第四故障位。在发生热失控前,所述气体的压力值会急剧增加,因此可以通过处理器判断所述气体压力的差异值的大小,进而确定所述第四故障位的值。所述第四故障位可以取0或1。Specifically, the fourth fault bit is obtained according to the real-time pressure value of the gas of the power battery module. Before thermal runaway occurs, the pressure value of the gas will increase sharply, so the value of the fourth fault bit can be determined by judging the difference value of the gas pressure by the processor. The fourth fault bit can be 0 or 1.

具体的,根据每一个所述电池单体的电压值、每一个所述电池单体的温度值以及所述动力电池模组的电流值,获得平均荷电状态值和最小荷电状态值,根据所述平均荷电状态值和所述最小荷电状态值获得第五故障位。基于模型进行荷电状态估计,利用各节电池单体的最低电压V和最高温度Tmax,k估计最小荷电状态值SOCmin,k,利用除去V的其余各节电池的平均电压VV除去Tmax,k的其余各节电池的平均温度V估计平均荷电状态值V。所述第五故障位可以取0、1或2。Specifically, according to the voltage value of each of the battery cells, the temperature value of each of the battery cells and the current value of the power battery module, the average state of charge value and the minimum state of charge value are obtained, according to The average SOC value and the minimum SOC value obtain a fifth fault bit. Estimating the state of charge based on the model, using the lowest voltage V and the highest temperature T max,k of each battery cell to estimate the minimum state of charge value SOC min,k , using the average voltage VV of the remaining batteries except V to remove T The average temperature V of the remaining batteries in max, k is estimated to be the average state of charge value V. The fifth fault bit can be 0, 1 or 2.

S30,根据所述第一故障位、第二故障位、第三故障位、第四故障位以及第五故障位获得总故障位。步骤S30中,当通过所述处理器分别确定了各个故障位的值之后,可以通过加法器计算总故障位的值,如图2所示。S30. Obtain a total fault bit according to the first fault bit, the second fault bit, the third fault bit, the fourth fault bit, and the fifth fault bit. In step S30, after the value of each fault bit is respectively determined by the processor, the value of the total fault bit may be calculated by an adder, as shown in FIG. 2 .

S40,判断所述总故障位是否大于或等于预设故障位阈值,当所述总故障位大于或等于所述预设故障位阈值时,进行热失控报警。步骤S40中,所述预设故障位阈值可以通过多次试验进行设定。在一个可选实施例中,所述预设故障位阈值可以为5,如图3所示。S40, judging whether the total fault bits are greater than or equal to a preset fault bit threshold, and performing a thermal runaway alarm when the total fault bits are greater than or equal to the preset fault bit threshold. In step S40, the preset fault threshold can be set through multiple trials. In an optional embodiment, the preset fault bit threshold may be 5, as shown in FIG. 3 .

本实施例中,通过电池单体电压和电池单体温度的实时检测数据,计算最低电池单体电压对平均电压的异常偏移,计算最高单体温度对平均温度的异常偏移。检测电池模组的电池值,并根据上述各种检测参数,计算荷电状态的异常偏移。同时实时检测可燃气体浓度和气体压力,判断可燃气体浓度是否达到阈值,气体压力是否达到阈值。综合考虑以上各参数,进行热失控预警。通过该方法可以在热失控发生前将热失控预警出来,从而很大程度降低了热失控造成的危害。本申请将有助于提高动力电池安全管理的可靠性,减少锂离子动力电池安全性事故的发生。In this embodiment, based on the real-time detection data of battery cell voltage and battery cell temperature, the abnormal deviation of the lowest battery cell voltage from the average voltage is calculated, and the abnormal deviation of the highest battery cell temperature from the average temperature is calculated. Detect the battery value of the battery module, and calculate the abnormal shift of the state of charge according to the above-mentioned various detection parameters. Simultaneously detect the combustible gas concentration and gas pressure in real time, and judge whether the combustible gas concentration reaches the threshold and whether the gas pressure reaches the threshold. Considering the above parameters comprehensively, a thermal runaway warning is carried out. Through this method, the thermal runaway can be warned before the thermal runaway occurs, thereby reducing the harm caused by the thermal runaway to a great extent. The application will help to improve the reliability of power battery safety management and reduce the occurrence of lithium-ion power battery safety accidents.

在一个实施例中,根据每一个所述电池单体的电压值、每一个所述电池单体的温度值以及所述动力电池模组的电流值,获得平均荷电状态值和最小荷电状态值,根据所述平均荷电状态值和所述最小荷电状态值获得第五故障位的具体步骤包括:In one embodiment, according to the voltage value of each of the battery cells, the temperature value of each of the battery cells and the current value of the power battery module, the average state of charge value and the minimum state of charge are obtained value, the specific steps of obtaining the fifth fault bit according to the average SOC value and the minimum SOC value include:

根据所述平均荷电状态值和所述最小荷电状态值,获得实际荷电状态差异值。将预设荷电状态差异值的范围划分为多个荷电状态参考区间,每一个荷电状态参考区间对应设置一个第五故障位的值。判断所述实际荷电状态差异值所属的荷电状态参考区间,进而确定所述第五故障位。According to the average state of charge value and the minimum state of charge value, an actual state of charge difference value is obtained. The range of the preset SOC difference value is divided into a plurality of SOC reference intervals, and each SOC reference interval is correspondingly set with a fifth fault bit value. Judging the SOC reference interval to which the actual SOC difference value belongs, and then determining the fifth fault bit.

可以通过拓展卡尔曼滤波估计SOC算法、无迹卡尔曼滤波估计SOC算法、自适应滤波估计SOC算法、滑膜观测器估计SOC算法、开路电压查表法或者其他SOC估计方法中的一种或多种获得所述平均荷电状态值和所述最小荷电状态值。还可以通过一阶RC的等效电路模型通过卡尔曼滤波的融合算法来获得所述平均荷电状态值和所述最小荷电状态值。One or more of the extended Kalman filter estimation SOC algorithm, unscented Kalman filter estimation SOC algorithm, adaptive filter estimation SOC algorithm, synovial film observer estimation SOC algorithm, open circuit voltage look-up table method or other SOC estimation methods can be used. and obtaining the average SOC value and the minimum SOC value. The average SOC value and the minimum SOC value may also be obtained by using a first-order RC equivalent circuit model and a Kalman filter fusion algorithm.

所述荷电状态参考区间的数量可以为三个,第一荷电状态参考区间对应设置的所述第五故障位的值为0,第二荷电状态参考区间对应设置的所述第五故障位的值为1,第三荷电状态参考区间对应设置的所述第五故障位的值为2。在一个可选的实施例中,所述第一荷电状态参考区间为[0%,10%)。所述第二荷电状态参考区间为[10%,20%)。所述第三荷电状态参考区间为[20%,+∞)。当所述实际荷电状态差异值大于10%时,所述第五故障位从0跳变到1。当所述实际荷电状态差异值大于20%时,所述第五故障位从1跳变到2。The number of the state of charge reference intervals may be three, the value of the fifth fault bit set corresponding to the first state of charge reference interval is 0, and the value of the fifth fault bit set corresponding to the second state of charge reference interval The value of the bit is 1, and the value of the fifth fault bit set corresponding to the third state of charge reference interval is 2. In an optional embodiment, the first reference interval of the state of charge is [0%, 10%). The second state of charge reference interval is [10%, 20%). The third SOC reference interval is [20%, +∞). When the actual SOC difference is greater than 10%, the fifth fault bit jumps from 0 to 1. When the actual SOC difference is greater than 20%, the fifth fault bit jumps from 1 to 2.

在一个实施例中,根据每一个所述电池单体的电压值,获得单体电压平均值和单体电压最小值,根据所述单体电压平均值和所述单体电压最小值获得第一故障位的具体步骤包括:In one embodiment, according to the voltage value of each of the battery cells, the average value of the cell voltage and the minimum value of the cell voltage are obtained, and the first cell voltage is obtained according to the average value of the cell voltage and the minimum value of the cell voltage. The specific steps for fault bits include:

根据所述单体电压平均值和所述单体电压最小值,获得实际电池单体电压差异值。将预设电池单体电压差异值的范围划分为多个电压参考区间,每一个电压参考区间对应设置一个第一故障位的值。判断所述实际电池单体电压差异值所属的电压参考区间,进而确定所述第一故障位。According to the average value of the cell voltage and the minimum value of the cell voltage, an actual battery cell voltage difference value is obtained. Divide the range of preset battery cell voltage difference values into a plurality of voltage reference intervals, and each voltage reference interval corresponds to setting a value of the first fault bit. Judging the voltage reference interval to which the actual battery cell voltage difference value belongs, and then determining the first fault bit.

所述电压参考区间的数量可以为三个。第一电压参考区间对应设置的所述第一故障位的值为0,第二电压参考区间对应设置的所述第一故障位的值为1,第三电压参考区间对应设置的所述第一故障位的值为2。在一个可选实施例中,所述第一电压参考区间为[0V,0.1V)。所述第二电压参考区间为[0.1V,5V)。所述第三电压参考区间为[5V,+∞)。当所述实际电池单体电压差异值大于0.1V时,所述第一故障位从0跳变到1。当所述实际电池单体电压差异值大于5V时,所述第一故障位从1跳变到2。The number of the voltage reference intervals may be three. The value of the first fault bit set corresponding to the first voltage reference interval is 0, the value of the first fault bit set corresponding to the second voltage reference interval is 1, and the value of the first fault bit set corresponding to the third voltage reference interval The fault bit has a value of 2. In an optional embodiment, the first voltage reference interval is [0V, 0.1V). The second voltage reference interval is [0.1V, 5V). The third voltage reference interval is [5V, +∞). When the actual battery cell voltage difference is greater than 0.1V, the first fault bit jumps from 0 to 1. When the actual battery cell voltage difference is greater than 5V, the first fault bit jumps from 1 to 2.

在一个实施例中,所述根据每一个所述电池单体的温度值,获得单体温度平均值和单体温度最大值,根据所述单体温度平均值和所述单体温度最大值获得第二故障位的具体步骤包括:In one embodiment, according to the temperature value of each of the battery cells, the average value of the cell temperature and the maximum value of the cell temperature are obtained, and according to the average value of the cell temperature and the maximum value of the cell temperature, the The specific steps of the second fault bit include:

根据所述单体温度平均值和所述单体温度最大值,获得实际电池单体温度差异值。将预设电池单体温度差异值的范围划分为多个温度参考区间,每一个温度参考区间对应设置一个第二故障位的值。判断所述实际电池单体温度差异值所属的温度参考区间,进而确定所述第二故障位。According to the average cell temperature and the maximum cell temperature, an actual battery cell temperature difference value is obtained. Divide the range of preset battery cell temperature difference values into a plurality of temperature reference intervals, and each temperature reference interval corresponds to setting a value of a second fault bit. Judging the temperature reference interval to which the actual battery cell temperature difference value belongs, and then determining the second fault bit.

所述温度参考区间的数量可以为三个,第一温度参考区间对应设置的所述第二故障位的值为0,第二温度参考区间对应设置的所述第二故障位的值为1,第三温度参考区间对应设置的所述第二故障位的值为2。在一个可选的实施例中,所述第一温度参考区间为[0℃,5℃)。所述第二温度参考区间为[5℃,10℃)。所述第三温度参考区间为[10℃,+∞)。当所述实际电池单体温度差异值大于5℃时,所述第二故障位从0跳变到1。当所述实际电池单体温度差异值大于10℃时,所述第二故障位从1跳变到2。The number of the temperature reference intervals may be three, the value of the second fault bit set corresponding to the first temperature reference interval is 0, the value of the second fault bit set corresponding to the second temperature reference interval is 1, The value of the second fault bit set corresponding to the third temperature reference interval is 2. In an optional embodiment, the first temperature reference range is [0°C, 5°C). The second temperature reference interval is [5°C, 10°C). The third temperature reference range is [10°C, +∞). When the actual battery cell temperature difference is greater than 5° C., the second fault bit jumps from 0 to 1. When the actual battery cell temperature difference is greater than 10° C., the second fault bit jumps from 1 to 2.

在一个实施例中,所述根据所述动力电池模组的可燃气体的实时浓度值,获得第三故障位的具体步骤包括:In one embodiment, the specific steps of obtaining the third fault bit according to the real-time concentration value of the combustible gas of the power battery module include:

根据当前时刻可燃气体的浓度值和初始时刻可燃气体的浓度值,获得所述电池模组的实际浓度差异值。将预设电池模组浓度差异值的范围划分为多个浓度参考区间,每一个浓度参考区间对应设置一个第三故障位的值。判断所述实际浓度差异值所属的浓度参考区间,进而确定所述第三故障位。所述初始时刻的可燃气体的浓度值可以是检测开始时刻的可燃气体的浓度值。所述初始时刻的可燃气体的浓度值还可以是所述处理器任意设定的某一在前时刻的可燃气体的浓度值。The actual concentration difference value of the battery module is obtained according to the concentration value of the combustible gas at the current moment and the concentration value of the combustible gas at the initial moment. The range of the preset battery module concentration difference value is divided into a plurality of concentration reference intervals, and each concentration reference interval corresponds to setting a value of a third fault bit. Judging the concentration reference interval to which the actual concentration difference value belongs, and then determining the third fault bit. The concentration value of the combustible gas at the initial moment may be the concentration value of the combustible gas at the detection start moment. The concentration value of the combustible gas at the initial moment may also be the concentration value of the combustible gas at a previous moment arbitrarily set by the processor.

所述浓度参考区间的数量可以为两个,第一浓度参考区间对应设置的所述第三故障位的值为0,第二浓度参考区间对应设置的所述第三故障位的值为1。这里需要指出的是,检测可燃气体浓度的传感器可以是气体传感器。所述气体传感器可以是半导体气敏传感器。所述气体传感器的工作原理主要是,随着待检测气体浓度的增加,半导体的电阻会改变,将这个半导体和一个定值电阻串联,通过测量半导体两端的电压,就可以检测待测气体浓度了。因此可以通过所述气体传感器检测到的电压值反应所述可燃气体的浓度值。在一个可选的实施例中,所述第一浓度参考区间为[0V,1V)。所述第二浓度参考区间为[1V,+∞)。当所述实际浓度差异值大于1V时,所述第三故障位从0跳变到1。The number of the concentration reference intervals may be two, the value of the third fault bit set corresponding to the first concentration reference interval is 0, and the value of the third fault bit set corresponding to the second concentration reference interval is 1. It should be pointed out here that the sensor for detecting the concentration of combustible gas may be a gas sensor. The gas sensor may be a semiconductor gas sensor. The working principle of the gas sensor is that as the concentration of the gas to be detected increases, the resistance of the semiconductor will change. The semiconductor is connected in series with a fixed value resistor, and the concentration of the gas to be measured can be detected by measuring the voltage at both ends of the semiconductor. . Therefore, the voltage value detected by the gas sensor can reflect the concentration value of the combustible gas. In an optional embodiment, the first concentration reference range is [0V, 1V). The second concentration reference interval is [1V,+∞). When the actual concentration difference value is greater than 1V, the third fault bit jumps from 0 to 1.

在一个实施例中,所述根据所述动力电池模组的气体的实时压力值,获得第四故障位的具体步骤包括:In one embodiment, the specific steps of obtaining the fourth fault bit according to the real-time pressure value of the gas of the power battery module include:

根据当前时刻气体的压力值和初始时刻气体的压力值,获得所述电池模组的实际压力差异值。将预设电池模组压力差异值的范围划分为多个压力参考区间,每一个压力参考区间对应设置一个第四故障位的值。判断所述实际压力差异值所属的压力参考区间,进而确定所述第四故障位。所述初始时刻气体的压力值可以是检测开始时刻的气体的压力值。所述初始时刻的气体的压力值还可以是所述处理器任意设定的某一在前时刻的气体的压力值。According to the pressure value of the gas at the current moment and the pressure value of the gas at the initial moment, the actual pressure difference value of the battery module is obtained. The range of the preset pressure difference value of the battery module is divided into a plurality of pressure reference intervals, and each pressure reference interval corresponds to setting a value of the fourth fault bit. Judging the pressure reference interval to which the actual pressure difference value belongs, and then determining the fourth fault bit. The pressure value of the gas at the initial moment may be the pressure value of the gas at the beginning moment of detection. The pressure value of the gas at the initial moment may also be the pressure value of the gas at a previous moment arbitrarily set by the processor.

表一、各参数阈值和各参数故障位的确定条件Table 1. Determination conditions for each parameter threshold value and each parameter fault bit

所述压力参考区间的数量为两个,第一压力参考区间对应设置的所述第四故障位的值为0,第二压力参考区间对应设置的所述第四故障位的值为1。在一个可选的实施例中,所述第一压力参考区间为[0KPa,10KPa)。所述第二压力参考区间为[10KPa,+∞)。当所述实际压力差异值大于10KPa时,所述第四故障位从0跳变到1。本申请一个实施例提供的各参数阈值和各参数故障位的确定条件如下表一所示。The number of the pressure reference intervals is two, the value of the fourth fault bit set corresponding to the first pressure reference interval is 0, and the value of the fourth fault bit set corresponding to the second pressure reference interval is 1. In an optional embodiment, the first pressure reference range is [0KPa, 10KPa). The second pressure reference interval is [10KPa, +∞). When the actual pressure difference is greater than 10KPa, the fourth fault bit jumps from 0 to 1. The determination conditions of each parameter threshold and each parameter fault bit provided by an embodiment of the present application are shown in Table 1 below.

一种计算机设备,包括存储器、处理器及存储在存储器上并在处理器上运行的计算机程序,所述处理器执行所述计算机程序时实现上述实施例中任一项所述的动力电池热失控预警方法的步骤。A computer device, including a memory, a processor, and a computer program stored on the memory and run on the processor, when the processor executes the computer program, the thermal runaway of the power battery described in any one of the above embodiments is realized Steps in the early warning method.

以上所述实施例的各技术特征可以进行任意的组合,为使描述简洁,未对上述实施例中的各个技术特征所有可能的组合都进行描述,然而,只要这些技术特征的组合不存在矛盾,都应当认为是本说明书记载的范围。The technical features of the above-mentioned embodiments can be combined arbitrarily. To make the description concise, all possible combinations of the technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, should be considered as within the scope of this specification.

以上所述实施例仅表达了本申请的几种实施方式,其描述较为具体和详细,但并不能因此而理解为对申请专利范围的限制。应当指出的是,对于本领域的普通技术人员来说,在不脱离本申请构思的前提下,还可以做出若干变形和改进,这些都属于本申请的保护范围。因此,本申请专利的保护范围应以所附权利要求为准。The above-mentioned embodiments only express several implementation modes of the present application, and the description thereof is relatively specific and detailed, but should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the scope of protection of the patent application should be based on the appended claims.

Claims (12)

1. a kind of power battery thermal runaway method for early warning characterized by comprising
S10 obtains the thermal runaway parameter of power battery in real time, and the thermal runaway parameter includes each of power battery module The voltage value and temperature value of battery cell, the thermal runaway parameter further include the current value of the power battery module, combustible gas The concentration of body and the pressure of gas;
S20, according to the concentration of voltage value described in each, each described temperature value, the current value, the fuel gas with And the pressure of the gas, Fisrt fault position, the second fault bit, third fault bit, the 4th fault bit and the 5th are obtained respectively Fault bit;
S30, according to the Fisrt fault position, second fault bit, the third fault bit, the 4th fault bit and institute It states the 5th fault bit and obtains total failare position;
S40, judges whether the total failare position is greater than or equal to preset failure position threshold value, when the total failare position is greater than or equal to When the preset failure position threshold value, thermal runaway alarm is carried out.
2. power battery thermal runaway method for early warning according to claim 1, which is characterized in that obtain the 5th fault bit Specific steps include:
According to the voltage value of battery cell described in each, the temperature value and the power battery of each battery cell The current value of mould group obtains average state of charge and minimum state of charge;
According to the average state of charge and the minimum state of charge, practical charge state difference value is obtained;
According to the practical charge state difference value, the 5th fault bit is obtained.
3. power battery thermal runaway method for early warning according to claim 2, which is characterized in that described according to the practical lotus Electricity condition difference value, the specific steps for obtaining the 5th fault bit include:
The range of default charge state difference value is divided into multiple state-of-charge reference intervals;
Judge state-of-charge reference interval belonging to the practical charge state difference value, and then determines the 5th fault bit.
4. power battery thermal runaway method for early warning according to claim 1, which is characterized in that obtain the Fisrt fault position Specific steps include:
According to the voltage value of battery cell described in each, monomer voltage average value and monomer voltage minimum value are obtained;
According to the monomer voltage average value and the monomer voltage minimum value, actual battery monomer voltage difference value is obtained;
According to the actual battery monomer voltage difference value, the Fisrt fault position is obtained.
5. power battery thermal runaway method for early warning according to claim 4, which is characterized in that described according to the practical electricity Pond monomer voltage difference value, the specific steps for obtaining the Fisrt fault position include:
The range of default battery cell voltage difference value is divided into multiple Voltage Reference sections;
Judge Voltage Reference section belonging to the actual battery monomer voltage difference value, and then determines the Fisrt fault position.
6. power battery thermal runaway method for early warning according to claim 1, which is characterized in that obtain second fault bit Specific steps include:
The S30 obtains monomer temperature average value and monomer temperature is maximum according to the temperature value of battery cell described in each Value;
According to the monomer temperature average value and the monomer temperature maximum value, actual battery monomer temperature difference value is obtained;
According to the actual battery monomer temperature difference value, second fault bit is obtained.
7. power battery thermal runaway method for early warning according to claim 6, which is characterized in that described according to the practical electricity Pond monomer temperature difference value, the specific steps for obtaining second fault bit include:
The range of default battery cell temperature difference value is divided into multiple temperature reference sections;
Judge temperature reference section belonging to the actual battery monomer temperature difference value, and then determines second fault bit.
8. power battery thermal runaway method for early warning according to claim 1, which is characterized in that obtain the third fault bit Specific steps include:
According to the concentration value of the concentration value of current time fuel gas and initial time fuel gas, the battery modules are obtained Actual concentrations difference value;
According to the actual concentrations difference value, the third fault bit is obtained.
9. power battery thermal runaway method for early warning according to claim 8, which is characterized in that described dense according to the reality Difference value is spent, the specific steps for obtaining the third fault bit include:
The range of default battery modules concentration difference value is divided into multiple concentration reference intervals;
Judge concentration reference interval belonging to the actual concentrations difference value, and then determines the third fault bit.
10. power battery thermal runaway method for early warning according to claim 1, which is characterized in that obtain the 4th failure Position specific steps include:
According to the pressure value of the pressure value of current time gas and initial time gas, the actual pressure of the battery modules is obtained Difference value;
According to the actual pressure difference value, the 4th fault bit is obtained.
11. power battery thermal runaway method for early warning according to claim 10, which is characterized in that described according to the reality Pressure gap value, the specific steps for obtaining the 4th fault bit include:
The range of default battery modules pressure gap value is divided into multiple pressure reference sections;
Judge pressure reference section belonging to the actual pressure difference value, and then determines the 4th fault bit.
12. a kind of computer equipment, the calculating run on a memory and on a processor including memory, processor and storage Machine program, which is characterized in that the processor is realized described in any one of claims 1 to 11 when executing the computer program Power battery thermal runaway method for early warning the step of.
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