CN115320385B - Thermal runaway early warning method, device, equipment and storage medium for vehicle battery - Google Patents
- ️Tue Apr 30 2024
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Publication number
- CN115320385B CN115320385B CN202210897592.6A CN202210897592A CN115320385B CN 115320385 B CN115320385 B CN 115320385B CN 202210897592 A CN202210897592 A CN 202210897592A CN 115320385 B CN115320385 B CN 115320385B Authority
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- China Prior art keywords
- temperature
- vehicle battery
- weights
- entropy
- thermal runaway Prior art date
- 2022-07-28 Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION 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
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
- B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION 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
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/24—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Secondary Cells (AREA)
Abstract
The application relates to a thermal runaway early warning method, a device, equipment and a storage medium of a vehicle battery, wherein the early warning method comprises the following steps: acquiring the temperature of a vehicle battery in a sampling time period; acquiring the weight of the temperature according to the temperature, and acquiring an entropy value according to the weight; acquiring an entropy weight according to the entropy value; acquiring a first evaluation parameter according to the weight and the entropy weight; judging whether each temperature acquisition point has abnormal temperature according to the change trend of the first evaluation parameter of each temperature acquisition point, and if so, judging that the vehicle battery has thermal runaway risk. According to the application, the first evaluation parameter is set through the single parameter of the obtained temperature data, so that the change trend of the temperature is obtained, and further, whether the thermal runaway risk exists in the vehicle battery is accurately evaluated, and the accuracy and the sensitivity of the thermal runaway early warning on the vehicle battery can be ensured while the energy consumption is reduced.
Description
技术领域Technical Field
本申请涉及热失控预警技术领域，特别是涉及一种车辆电池的热失控预警方法、装置、设备和存储介质。The present application relates to the technical field of thermal runaway warning, and in particular to a thermal runaway warning method, device, equipment and storage medium for a vehicle battery.
背景技术Background technique
新能源电动汽车常用到车辆电池，用于向新能源电动汽车的动力装置供能。在车辆电池的使用过程中，车辆电池存在发生热失控的风险，并且车辆电池的热失控具有迅速、剧烈且难以控制的特点，因此对电池进行热失控预警显得尤为重要。New energy electric vehicles often use vehicle batteries to supply energy to the power devices of new energy electric vehicles. During the use of vehicle batteries, there is a risk of thermal runaway of vehicle batteries, and the thermal runaway of vehicle batteries is rapid, violent and difficult to control, so it is particularly important to warn of thermal runaway of batteries.
目前的车辆电池的失控预警方案往往通过获取电池的电压、电流和温度等若干种数据，并根据获取的数据进行处理以及预设预警模型，根据预警模型进行分析，从而达到对车辆电池进行热失控预警的目的。Current vehicle battery runaway warning schemes often obtain several types of data such as battery voltage, current, and temperature, process the data obtained, preset warning models, and analyze them based on the warning models, thereby achieving the purpose of thermal runaway warning for vehicle batteries.
但是当车辆电池实际发生热失控时，电压、电流或者温度的变化通常难以准确获取，热失控预警的灵敏度不高；并且对电压、电流和温度的数据进行长时间监测，也造成了能耗的增加。However, when thermal runaway actually occurs in a vehicle battery, changes in voltage, current or temperature are usually difficult to obtain accurately, and the sensitivity of the thermal runaway warning is not high; and long-term monitoring of voltage, current and temperature data also increases energy consumption.
发明内容Summary of the invention
基于此，本申请提供一种车辆电池的热失控预警方法、装置、设备和存储介质，以改善现有技术中对车载电池进行热失控预警灵敏度低并且能耗高的问题。Based on this, the present application provides a thermal runaway warning method, device, equipment and storage medium for a vehicle battery to improve the problem of low sensitivity and high energy consumption in thermal runaway warning for vehicle batteries in the prior art.
第一方面，本申请提供一种车辆电池的热失控预警方法，所述热失控预警方法包括：In a first aspect, the present application provides a thermal runaway warning method for a vehicle battery, the thermal runaway warning method comprising:
获取车辆电池在采样时长内的温度，其中，所述温度在车辆电池上的m个温度采集点进行获取，并且在所述采样时长内，每个所述温度采集点分别获取n个采样时刻下的所述温度；Acquire the temperature of the vehicle battery within a sampling time, wherein the temperature is acquired at m temperature acquisition points on the vehicle battery, and within the sampling time, each temperature acquisition point acquires the temperature at n sampling moments respectively;
根据m*n个所述温度获取m*n个所述温度的权重，并根据m*n个所述权重获取n个熵值，其中，m*n个所述权重为每个所述采样时刻下，每个所述温度采集点的所述温度在m个所述温度采集点的所述温度中所占的权重，n个所述熵值为m个所述温度采集点在每个所述采样时刻下的熵值；Obtain m*n weights of the temperatures according to the m*n temperatures, and obtain n entropy values according to the m*n weights, wherein the m*n weights are the weights of the temperature of each temperature collection point in the temperatures of the m temperature collection points at each sampling moment, and the n entropy values are the entropy values of the m temperature collection points at each sampling moment;
根据n个所述熵值获取n个熵权，其中，n个所述熵权为每个所述熵值在n个所述熵值中所占的熵权；Obtain n entropy weights according to the n entropy values, wherein the n entropy weights are the entropy weights of each entropy value in the n entropy values;
根据m*n个所述权重以及n个所述熵权获取m个第一评价参数，其中， m个所述第一评价参数为每个所述温度采集点在所述采样时长内的第一评价参数；Obtain m first evaluation parameters according to the m*n weights and the n entropy weights, wherein the m first evaluation parameters are first evaluation parameters of each temperature collection point within the sampling time;
根据每个所述温度采集点的所述第一评价参数的变化趋势，判断每个所述温度采集点是否存在温度异常的情况，若是，则判断所述车辆电池存在热失控的风险。According to the change trend of the first evaluation parameter of each temperature collection point, it is determined whether there is a temperature abnormality at each temperature collection point. If so, it is determined that there is a risk of thermal runaway of the vehicle battery.
在其中一个实施例中，当获取车辆电池在采样时长内的温度时，m为正偶数，每两个所述温度采集点对应设置在所述车辆电池的一个电池模组上；In one of the embodiments, when obtaining the temperature of the vehicle battery within the sampling time, m is a positive even number, and every two of the temperature collection points are correspondingly arranged on a battery module of the vehicle battery;
当根据m*n个所述权重以及n个所述熵权获取m个第一评价参数时，根据m个所述第一评价参数获取m/2个第二评价参数，m/2个所述第二评价参数为每个所述电池模组在所述采样时长内的第二评价参数；When m first evaluation parameters are obtained according to m*n weights and n entropy weights, m/2 second evaluation parameters are obtained according to the m first evaluation parameters, and the m/2 second evaluation parameters are second evaluation parameters of each battery module within the sampling time length;
根据每个所述温度采集点的所述第一评价参数的变化趋势，判断每个所述温度采集点是否存在温度异常的情况，若是，则判断所述车辆电池存在热失控的风险，被替换为：According to the change trend of the first evaluation parameter of each temperature collection point, it is judged whether each temperature collection point has a temperature abnormality, and if so, it is judged that the vehicle battery has a risk of thermal runaway, is replaced by:
根据每个所述电池模组的所述第二评价参数的变化趋势，判断每个所述电池模组是否存在温度异常的情况，若是，则判断所述车辆电池存在热失控的风险。According to the change trend of the second evaluation parameter of each battery module, it is determined whether each battery module has abnormal temperature. If so, it is determined that the vehicle battery has a risk of thermal runaway.
在其中一个实施例中，根据m*n个所述温度获取m*n个所述温度的权重，并根据m*n个所述权重获取n个熵值，包括：In one embodiment, obtaining weights of m*n temperatures according to the m*n temperatures, and obtaining n entropy values according to the m*n weights, includes:
根据所述温度建立温度矩阵：Create a temperature matrix based on the temperatures:
其中，tij表示第i个所述温度探头在j时刻所代表的所述采样时刻下的温度；Wherein, t ij represents the temperature of the ith temperature probe at the sampling time represented by time j;
采用数据归一化方法，将所述温度矩阵转化为所述温度的权重矩阵：The temperature matrix is converted into the temperature weight matrix by using the data normalization method:
其中，pij表示在j时刻所代表的所述采样时刻下第i个所述温度探头的温度在m个所述温度探头的温度中所占的权重；Wherein, p ij represents the weight of the temperature of the ith temperature probe in the temperatures of the m temperature probes at the sampling time represented by time j;
根据m*n个所述权重矩阵获取n个熵值，其数学表达为：According to the m*n weight matrices, n entropy values are obtained, and the mathematical expression thereof is:
其中，ej表示m个所述温度探头j时刻所代表的所述采样时刻下的熵值，0≤ej≤1。Wherein, e j represents the entropy value at the sampling time represented by the m temperature probes at the jth time, 0≤e j ≤1.
在其中一个实施例中，根据n个所述熵值获取n个熵权的数学表达为：In one embodiment, the mathematical expression for obtaining n entropy weights according to the n entropy values is:
其中，Wj表示m个所述温度采集点在j时刻所代表的所述采样时刻下的熵值在n个采样时刻下的熵值中所占的熵权。Wherein, W j represents the entropy weight of the entropy value of the m temperature collection points at the sampling time represented by time j in the entropy value at n sampling times.
在其中一个实施例中，根据m*n个所述温度的权重以及n个所述熵权获取m个第一评价参数的数学表达为：In one embodiment, the mathematical expression of obtaining m first evaluation parameters according to m*n weights of the temperature and n entropy weights is:
其中，Si表示第i个所述温度探头在所述采样时长内的第一评价参数。Wherein, Si represents the first evaluation parameter of the i-th temperature probe within the sampling time period.
在其中一个实施例中，根据m个所述第一评价参数获取m/2个所述电池模组的第二评价参数的数学表达为：In one embodiment, the mathematical expression for obtaining m/2 second evaluation parameters of the battery module according to m first evaluation parameters is:
Mi/2＝|Si-Si-1| Mi/2 = | Si -Si -1 |
其中，i＝2,4,6,8…，Mi/2表示第i/2个所述电池模组在所述采样时长内的所述第二评价参数。Wherein, i=2, 4, 6, 8..., Mi /2 represents the second evaluation parameter of the i/2th battery module within the sampling time period.
在其中一个实施例中，获取车辆电池在采样时长内的温度，包括：In one embodiment, obtaining the temperature of the vehicle battery within a sampling period includes:
获取充电状态信号，其中，所述充电状态信号包括以下之一：所述车辆电池未完成充电、所述车辆电池完成充电；Acquire a charging status signal, wherein the charging status signal includes one of the following: the vehicle battery is not fully charged, the vehicle battery is fully charged;
当处于所述车辆电池完成充电时，获取车辆电池在采样时长内的温度。When the vehicle battery is completely charged, the temperature of the vehicle battery within the sampling time period is obtained.
第二方面，本申请提供一种车辆电池的热失控预警装置，所述热失控预警装置包括：In a second aspect, the present application provides a thermal runaway warning device for a vehicle battery, the thermal runaway warning device comprising:
获取模块，其被配置为：Get the module, which is configured as:
获取车辆电池在采样时长内的温度，其中，所述温度在车辆电池上的 m个温度采集点进行获取，并且在所述采样时长内，每个所述温度采集点分别获取n个采样时刻下的所述温度；Acquire the temperature of the vehicle battery within a sampling time, wherein the temperature is acquired at m temperature acquisition points on the vehicle battery, and within the sampling time, each temperature acquisition point acquires the temperature at n sampling moments respectively;
处理模块，其被配置为：A processing module configured to:
根据m*n个所述温度获取m*n个所述温度的权重，并根据m*n个所述权重获取n个熵值，其中，m*n个所述权重为每个所述采样时刻下，每个所述温度采集点的所述温度在m个所述温度采集点的所述温度中所占的权重，n个所述熵值为m个所述温度采集点在每个所述采样时刻下的熵值；Obtain m*n weights of the temperatures according to the m*n temperatures, and obtain n entropy values according to the m*n weights, wherein the m*n weights are the weights of the temperature of each temperature collection point in the temperatures of the m temperature collection points at each sampling moment, and the n entropy values are the entropy values of the m temperature collection points at each sampling moment;
根据n个所述熵值获取n个熵权，其中，n个所述熵权为每个所述熵值在n个所述熵值中所占的熵权；Obtain n entropy weights according to the n entropy values, wherein the n entropy weights are the entropy weights of each entropy value in the n entropy values;
根据m*n个所述权重以及n个所述熵权获取m个第一评价参数，其中，m个所述第一评价参数为每个所述温度采集点在所述采样时长内的第一评价参数；Obtain m first evaluation parameters according to the m*n weights and the n entropy weights, wherein the m first evaluation parameters are first evaluation parameters of each temperature collection point within the sampling time;
根据每个所述温度采集点的所述第一评价参数的变化趋势，判断每个所述温度采集点是否存在温度异常的情况，若是，则判断所述车辆电池存在热失控的风险。According to the change trend of the first evaluation parameter of each temperature collection point, it is determined whether there is a temperature abnormality at each temperature collection point. If so, it is determined that there is a risk of thermal runaway of the vehicle battery.
第三方面，本申请提供一种计算机设备，包括存储器、处理器及存储在存储器上并可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本申请提供的任意一种车辆电池的热失控预警方法的步骤。In a third aspect, the present application provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of any one of the thermal runaway warning methods for vehicle batteries provided in the present application are implemented.
第四方面，本申请提供一种计算机可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现本申请提供的任意一种车辆电池的热失控预警方法的步骤。In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of any one of the thermal runaway warning methods for vehicle batteries provided in the present application are implemented.
本申请通过获取得到的温度数据这一单一参数设定第一评价参数，以获得温度的变化趋势，进而以准确评价车辆电池是否存在热失控的风险，可以在降低能耗的同时保证对车辆电池进行热失控预警的准确性和灵敏度。The present application sets the first evaluation parameter by acquiring the temperature data as a single parameter to obtain the temperature change trend, and then accurately evaluate whether the vehicle battery is at risk of thermal runaway. This can reduce energy consumption while ensuring the accuracy and sensitivity of thermal runaway warning for the vehicle battery.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
图1为本申请实施例一提供的车辆电池的热失控预警方法的流程图；FIG1 is a flow chart of a thermal runaway warning method for a vehicle battery provided in Embodiment 1 of the present application;
图2为本申请实施例一提供的车辆电池的热失控预警方法中步骤S200 的流程图；FIG2 is a flow chart of step S200 in the thermal runaway warning method for a vehicle battery provided in Embodiment 1 of the present application;
图3为本申请实施例一提供的车辆电池的热失控预警方法中步骤S500 的流程图；FIG3 is a flow chart of step S500 in the thermal runaway warning method for a vehicle battery provided in Embodiment 1 of the present application;
图4为本申请实施例一提供的车辆电池的热失控预警方法中步骤S100 的流程图FIG. 4 is a flow chart of step S100 in the thermal runaway warning method for a vehicle battery provided in Embodiment 1 of the present application.
图5为本申请实施例二提供的车辆电池的热失控预警方法的流程图；FIG5 is a flow chart of a thermal runaway warning method for a vehicle battery provided in Embodiment 2 of the present application;
图6为本申请实施例二提供的车辆电池的热失控预警方法中步骤S500 的流程图。FIG6 is a flow chart of step S500 in the thermal runaway warning method for a vehicle battery provided in the second embodiment of the present application.
具体实施方式Detailed ways
为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
需要说明的是，本实施例中所提供的图示仅以示意方式说明本发明的基本构想。It should be noted that the illustrations provided in this embodiment are only used to schematically illustrate the basic concept of the present invention.
本说明书所附图式所绘示的结构、比例、大小等，均仅用以配合说明书所揭示的内容，以供熟悉此技术的人士了解与阅读，并非用以限定本发明可实施的限定条件，任何结构的修饰、比例关系的改变或大小的调整，在不影响本发明所能产生的功效及所能达成的目的下，均应仍落在本发明所揭示的技术内容得能涵盖的范围内。The structures, proportions, sizes, etc. illustrated in the drawings in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology, and are not used to limit the conditions under which the present invention can be implemented. Any structural modification, change in proportion or adjustment of size should still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.
本说明书中所引用的如“上”、“下”、“左”、“右”、“中间”、“纵向”、“横向”、“水平”、“内”、“外”、“径向”、“周向”等指示的方位或位置关系为基于附图所示的方位或位置关系，亦仅为了便于简化叙述，而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作，因此不能理解为对本发明的限制。此外，术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性。The directions or positional relationships indicated by the terms "upper", "lower", "left", "right", "middle", "longitudinal", "lateral", "horizontal", "inner", "outer", "radial", "circumferential" and the like in this specification are based on the directions or positional relationships shown in the drawings and are only for the convenience of simplifying the description. They do not indicate or imply that the devices or elements referred to must have a specific direction, be constructed and operate in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.
实施例一Embodiment 1
如图1所示，本申请实施例一提供一种车辆电池的热失控预警方法，所述热失控预警方法包括以下步骤：As shown in FIG1 , the first embodiment of the present application provides a thermal runaway warning method for a vehicle battery, and the thermal runaway warning method comprises the following steps:
S100、获取车辆电池在采样时长内的温度，其中，所述温度在车辆电池上的m个温度采集点进行获取，并且在所述采样时长内，每个所述温度采集点分别获取n个采样时刻下的所述温度；S100, obtaining the temperature of the vehicle battery within a sampling period, wherein the temperature is obtained at m temperature collection points on the vehicle battery, and within the sampling period, each temperature collection point respectively obtains the temperature at n sampling moments;
S200、根据m*n个所述温度获取m*n个所述温度的权重，并根据m*n 个所述权重获取n个熵值，其中，m*n个所述权重为每个所述采样时刻下，每个所述温度采集点的所述温度在m个所述温度采集点的所述温度中所占的权重，n个所述熵值为m个所述温度采集点在每个所述采样时刻下的熵值；S200, obtaining weights of m*n temperatures according to the m*n temperatures, and obtaining n entropy values according to the m*n weights, wherein the m*n weights are the weights of the temperature of each temperature collection point in the temperatures of the m temperature collection points at each sampling moment, and the n entropy values are the entropy values of the m temperature collection points at each sampling moment;
S300、根据n个所述熵值获取n个熵权，其中，n个所述熵权为每个所述熵值在n个所述熵值中所占的熵权；S300, obtaining n entropy weights according to the n entropy values, wherein the n entropy weights are the entropy weights of each entropy value in the n entropy values;
S400、根据m*n个所述权重以及n个所述熵权获取m个第一评价参数，其中，m个所述第一评价参数为每个所述温度采集点在所述采样时长内的第一评价参数；S400, obtaining m first evaluation parameters according to m*n weights and n entropy weights, wherein the m first evaluation parameters are first evaluation parameters of each temperature collection point within the sampling time;
S500、根据每个所述温度采集点的所述第一评价参数的变化趋势，判断每个所述温度采集点是否存在温度异常的情况，若是，则判断所述车辆电池存在热失控的风险。S500. Determine whether there is a temperature abnormality at each temperature collection point according to a change trend of the first evaluation parameter at each temperature collection point. If so, determine that the vehicle battery has a risk of thermal runaway.
在步骤S100中，示例性地说明，车辆电池上预设m个温度采集点，以获取车辆电池在该温度采集点的温度。采样时长可以预设为固定值，也可以根据用户的指令而实施设定，本实施例以前者为例进行说明；在本实施例中，采样时长设置为1h。采样时刻为采样时长内的时间节点，并且n个采样时刻可以在采样时长内均匀分布。In step S100, it is exemplarily explained that m temperature collection points are preset on the vehicle battery to obtain the temperature of the vehicle battery at the temperature collection points. The sampling duration can be preset as a fixed value or set according to the user's instructions. This embodiment is explained by taking the former as an example; in this embodiment, the sampling duration is set to 1h. The sampling moment is a time node within the sampling duration, and the n sampling moments can be evenly distributed within the sampling duration.
如图2所示，在步骤S200中，示例性地说明，根据m*n个所述温度获取m*n个所述温度的权重，并根据m*n个所述权重获取n个熵值，即步骤 S200具体包括以下步骤：As shown in FIG. 2 , in step S200, it is exemplarily explained that m*n weights of the temperatures are obtained according to the m*n temperatures, and n entropy values are obtained according to the m*n weights, that is, step S200 specifically includes the following steps:
S201、根据m*n个所述温度建立温度矩阵：S201, establishing a temperature matrix according to the m*n temperatures:
其中，tij表示第i个所述温度探头在j时刻所代表的所述采样时刻下的温度；Wherein, t ij represents the temperature of the ith temperature probe at the sampling time represented by time j;
S202、采用数据归一化方法，将所述温度矩阵转化为所述温度的权重矩阵：S202, using a data normalization method to convert the temperature matrix into a temperature weight matrix:
其中，pij表示在j时刻所代表的所述采样时刻下第i个所述温度探头的温度在m个所述温度探头的温度中所占的权重；Wherein, p ij represents the weight of the temperature of the ith temperature probe in the temperatures of the m temperature probes at the sampling time represented by time j;
S203、根据所述权重矩阵获取n个熵值，其数学表达为：S203, obtaining n entropy values according to the weight matrix, which is mathematically expressed as:
其中，ej表示m个所述温度探头j时刻所代表的所述采样时刻下的熵值，0≤ej≤1。Wherein, e j represents the entropy value at the sampling time represented by the m temperature probes at the jth time, 0≤e j ≤1.
更详细地，在步骤S202中，示例性地说明，根据m*n个所述温度获取 m*n个所述温度的权重的数学表达为：In more detail, in step S202, it is exemplarily explained that the mathematical expression of obtaining the weights of the m*n temperatures according to the m*n temperatures is:
根据前述数学表达，当获取得到m*n个温度时，即可对应获取得到m*n 个温度的权重。According to the aforementioned mathematical expression, when m*n temperatures are obtained, the weights of the m*n temperatures can be obtained accordingly.
如图1所示，在步骤S300中，示例性地说明，根据n个所述熵值获取 n个熵权的数学表达为：As shown in FIG. 1 , in step S300, it is exemplarily explained that the mathematical expression for obtaining n entropy weights according to n entropy values is:
其中，Wj表示m个所述温度采集点在j时刻所代表的所述采样时刻下的熵值在n个采样时刻下的熵值中所占的熵权。Wherein, W j represents the entropy weight of the entropy value of the m temperature collection points at the sampling time represented by time j in the entropy value at n sampling times.
在步骤S400中，示例性地说明，根据m*n个所述温度的权重以及n 个所述熵权获取m个第一评价参数的数学表达为：In step S400, it is exemplarily explained that the mathematical expression of obtaining m first evaluation parameters according to m*n weights of the temperature and n entropy weights is:
其中，Si表示第i个所述温度探头在所述采样时长内的第一评价参数。Wherein, Si represents the first evaluation parameter of the i-th temperature probe within the sampling time period.
如图3所示，在步骤S500中，示例性地说明，根据每个所述温度采集点的所述第一评价参数的变化趋势，判断每个所述温度采集点是否存在温度异常的情况，即步骤S500具体包括以下步骤：As shown in FIG. 3 , in step S500, it is exemplarily described that, according to the change trend of the first evaluation parameter of each temperature collection point, it is determined whether each temperature collection point has a temperature abnormality, that is, step S500 specifically includes the following steps:
S501、获取m个第一变化曲线，其中，m个第一变化曲线为每个温度采集点的第一评价参数的变化曲线；S501, obtaining m first change curves, wherein the m first change curves are change curves of a first evaluation parameter of each temperature collection point;
S502、获取m个第一变化曲线上是否存在相邻两点所在线段的斜率超过第一斜率阈值，若是，则判断得到与该第一变化曲线相对应的温度采集点存在温度异常的情况，且车辆电池存在热失控的风险。S502, obtaining whether the slope of the line segment where two adjacent points on the m first change curves are located exceeds the first slope threshold; if so, determining that the temperature collection point corresponding to the first change curve has a temperature abnormality, and the vehicle battery is at risk of thermal runaway.
可以理解的是，相比于目前的第一热失控预警方法：通过获取电压、电流和温度等多种参数，并观察电压、电流和温度等多种参数的变化趋势来进行热失控预警；本申请仅获取温度这一单一参数，可以达到更为节能的目的。It can be understood that compared with the current first thermal runaway warning method: thermal runaway warning is performed by obtaining multiple parameters such as voltage, current, and temperature, and observing the changing trends of multiple parameters such as voltage, current, and temperature; the present application only obtains a single parameter, temperature, which can achieve a more energy-saving purpose.
而相比于目前的第二热失控预警方法：通过获取电压、电流或温度等单一参数，并观察该单一参数的变化趋势来进行热失控预警；本申请通过获取得到的温度数据设定第一评价参数，以获得温度的变化趋势，进而以准确评价车辆电池是否存在热失控的风险，可以保证对车辆电池进行热失控预警的准确性和灵敏度。Compared with the current second thermal runaway warning method: thermal runaway warning is performed by obtaining a single parameter such as voltage, current or temperature, and observing the changing trend of the single parameter; the present application sets the first evaluation parameter by obtaining the temperature data to obtain the temperature changing trend, and then accurately evaluates whether the vehicle battery has the risk of thermal runaway, which can ensure the accuracy and sensitivity of thermal runaway warning for the vehicle battery.
综上所述，本申请既可以保证对车载电池进行热失控预警的准确性和灵敏度低，又可以降低进行热失控预警时所需的能耗。In summary, the present application can not only ensure the accuracy and low sensitivity of thermal runaway warning for vehicle-mounted batteries, but also reduce the energy consumption required for thermal runaway warning.
如图4所示，更具体地，获取车辆电池在采样时长内的温度，即步骤 S100具体包括以下步骤：As shown in FIG4 , more specifically, obtaining the temperature of the vehicle battery within the sampling time, that is, step S100, specifically includes the following steps:
S101、获取充电状态信号，其中，所述充电状态信号包括以下之一：所述车辆电池未完成充电、所述车辆电池完成充电；S101, obtaining a charging status signal, wherein the charging status signal includes one of the following: the vehicle battery is not fully charged, and the vehicle battery is fully charged;
S102、当处于所述车辆电池完成充电时，获取车辆电池在采样时长内的温度。S102: When the vehicle battery has completed charging, obtain the temperature of the vehicle battery within a sampling period.
在步骤S101中，示例性地说明，当电池充电达预设的目标荷电状态或者达满充状态时，则获得车辆电池完成充电的信号；当车辆电池当前的荷电状态未达到目标荷电状态或者达满充状态时，则获得车辆电池未完成充电的信号。其中，目标荷电状态可以根据车辆的用户的实际需要进行设定，例如目标荷电状态设定为满充状态的99％、95％或者90％等。In step S101, it is exemplified that when the battery reaches a preset target state of charge or reaches a fully charged state, a signal indicating that the vehicle battery has completed charging is obtained; when the current state of charge of the vehicle battery does not reach the target state of charge or reaches a fully charged state, a signal indicating that the vehicle battery has not completed charging is obtained. The target state of charge can be set according to the actual needs of the vehicle user, for example, the target state of charge is set to 99%, 95% or 90% of the fully charged state, etc.
在步骤S102中，示例性地说明，在车辆电池完成充电后的采样时长(本实施例为1h)内，获取车辆电池上m个温度采集点的温度，并对获取的温度进行分析，以判断车辆电池是否存在热失控的风险。In step S102, it is exemplarily explained that within the sampling time (1 hour in this embodiment) after the vehicle battery is completely charged, the temperatures of m temperature collection points on the vehicle battery are obtained, and the obtained temperatures are analyzed to determine whether the vehicle battery has a risk of thermal runaway.
可以理解的是，若车辆电池存在热失控的潜在风险，那么车辆电池在完成充电后容易存在温度上的异常，因此在车辆电池完成充电后对其进行热失控预警的监测，可以进一步提高预警的准确性和灵敏度。It is understandable that if the vehicle battery has a potential risk of thermal runaway, the vehicle battery is prone to temperature abnormalities after charging is completed. Therefore, monitoring the thermal runaway warning of the vehicle battery after charging is completed can further improve the accuracy and sensitivity of the warning.
更具体地说，车辆电池进行热失控预警的能量可以来自供电单元，例如车辆电池进行充电时与其电性连接的充电桩，亦或者与其电性连接的家用电网，此时还可以避免对车辆电池进行热失控预警时造成车辆电池的荷电状态降低的情况，进而可以保证车辆电池的动力性。More specifically, the energy for the vehicle battery's thermal runaway warning can come from a power supply unit, such as a charging pile to which the vehicle battery is electrically connected when it is charged, or a household power grid to which it is electrically connected. At this time, it can also avoid the situation where the vehicle battery's state of charge is reduced when the vehicle battery is warned of thermal runaway, thereby ensuring the power of the vehicle battery.
实施例二Embodiment 2
如图5所示，本申请实施例二提供一种车辆电池的热失控预警方法，本实施例与实施例一的不同之处至少在于：As shown in FIG5 , the second embodiment of the present application provides a thermal runaway warning method for a vehicle battery. The difference between this embodiment and the first embodiment is at least that:
当获取车辆电池在采样时长内的温度时，m为正偶数，每两个所述温度采集点对应设置在所述车辆电池的一个电池模组上；When obtaining the temperature of the vehicle battery within the sampling time, m is a positive even number, and every two temperature collection points are correspondingly arranged on a battery module of the vehicle battery;
当根据m*n个所述权重以及n个所述熵权获取m个第一评价参数时，根据m个所述第一评价参数获取m/2个第二评价参数，m/2个所述第二评价参数为每个所述电池模组在所述采样时长内的第二评价参数；When m first evaluation parameters are obtained according to m*n weights and n entropy weights, m/2 second evaluation parameters are obtained according to the m first evaluation parameters, and the m/2 second evaluation parameters are second evaluation parameters of each battery module within the sampling time length;
根据每个所述温度采集点的所述第一评价参数的变化趋势，判断每个所述温度采集点是否存在温度异常的情况，若是，则判断所述车辆电池存在热失控的风险，被替换为：According to the change trend of the first evaluation parameter of each temperature collection point, it is judged whether each temperature collection point has a temperature abnormality, and if so, it is judged that the vehicle battery has a risk of thermal runaway, is replaced by:
根据每个所述电池模组的所述第二评价参数的变化趋势，判断每个所述电池模组是否存在温度异常的情况，若是，则判断所述车辆电池存在热失控的风险。According to the change trend of the second evaluation parameter of each battery module, it is determined whether each battery module has abnormal temperature. If so, it is determined that the vehicle battery has a risk of thermal runaway.
在步骤S100中，示例性地说明，在车辆电池上设置温度采集点时，车辆电池的每个电池模组上对应设置有两个温度采集点，由于本实施例设置有m个温度采集点，因此当m为正偶数时，车辆电池包括m/2个电池模组。In step S100, it is exemplified that when temperature collection points are set on a vehicle battery, two temperature collection points are correspondingly set on each battery module of the vehicle battery. Since m temperature collection points are set in this embodiment, when m is a positive even number, the vehicle battery includes m/2 battery modules.
在步骤S400中，示例性地说明，根据每个电池模组所对应的2个温度采集点的第一评价参数，获取每个电池模组的第二评价参数，由于本实施例有m/2个电池模组，因此对应有m/2个第二评价参数。In step S400, it is exemplarily explained that the second evaluation parameter of each battery module is obtained according to the first evaluation parameters of the two temperature collection points corresponding to each battery module. Since there are m/2 battery modules in this embodiment, there are m/2 corresponding second evaluation parameters.
更具体地，根据m个所述第一评价参数获取m/2个所述电池模组的第二评价参数的数学表达为：More specifically, the mathematical expression for obtaining m/2 second evaluation parameters of the battery modules according to m first evaluation parameters is:
Mi/2＝|Si-Si-1| Mi/2 = | Si -Si -1 |
其中，i＝2,4,6,8…，Mi/2表示第i/2个所述电池模组在所述采样时长内的所述第二评价参数。Wherein, i=2, 4, 6, 8..., Mi /2 represents the second evaluation parameter of the i/2th battery module within the sampling time period.
i表示第i个温度采集点，可以理解的是，第i和第i-1个温度采集点均设置在i/2个电池模组上。i represents the i-th temperature collection point. It can be understood that the i-th and i-1-th temperature collection points are both set on i/2 battery modules.
如图6所示，在步骤S500中，示例性地说明，被替换后的步骤S500 具体包括以下步骤：As shown in FIG. 6 , in step S500, it is exemplarily explained that the replaced step S500 specifically includes the following steps:
S503、获取m/2个第二变化曲线，其中，m/2个第一变化曲线为每个电池模组的第二评价参数的变化曲线；S503, obtaining m/2 second change curves, wherein the m/2 first change curves are change curves of the second evaluation parameter of each battery module;
S504、获取m/2个第二变化曲线上是否存在相邻两点所在线段的斜率超过第二斜率阈值，若是，则判断得到与该第二变化曲线相对应的电池模组存在温度异常的情况，且车辆电池存在热失控的风险。S504, obtaining whether the slope of the line segment where two adjacent points are located on the m/2 second change curves exceeds the second slope threshold. If so, it is determined that the battery module corresponding to the second change curve has a temperature abnormality and the vehicle battery is at risk of thermal runaway.
可以理解的是，通过设置车辆电池的每个电池模组的第二评价参数，当判断得到车辆电池存在热失控风险的同时，还可以具体判断出是车辆电池的哪一个电池模组存在热失控风险，以针对性地对车辆电池采取应对性的措施，例如对该存在热失控风险的电池模组进行冷却降温等，进而以进一步完善对车辆电池进行热失控预警的功能。It can be understood that by setting the second evaluation parameter of each battery module of the vehicle battery, when it is determined that the vehicle battery has a risk of thermal runaway, it can also be specifically determined which battery module of the vehicle battery has a risk of thermal runaway, so as to take targeted countermeasures for the vehicle battery, such as cooling the battery module at risk of thermal runaway, etc., thereby further improving the function of thermal runaway warning for the vehicle battery.
还可以理解是，由于第二评价参数是在两个第一评价参数求差的绝对值的基础上获取得到的，因此通过第二评价参数判断电池模组是否存在热失控风险具有更高的准确性和灵敏度。It can also be understood that since the second evaluation parameter is obtained based on the absolute value of the difference between the two first evaluation parameters, judging whether the battery module has a thermal runaway risk by the second evaluation parameter has higher accuracy and sensitivity.
实施例三Embodiment 3
本申请实施例三提供一种车辆电池的热失控预警装置，其特征在于，所述热失控预警装置包括；Embodiment 3 of the present application provides a thermal runaway warning device for a vehicle battery, characterized in that the thermal runaway warning device comprises:
获取模块，其被配置为：Get the module, which is configured as:
获取车辆电池在采样时长内的温度，其中，所述温度在车辆电池上的 m个温度采集点进行获取，并且在所述采样时长内，每个所述温度采集点分别获取n个采样时刻下的所述温度；Acquire the temperature of the vehicle battery within a sampling time, wherein the temperature is acquired at m temperature acquisition points on the vehicle battery, and within the sampling time, each temperature acquisition point acquires the temperature at n sampling moments respectively;
处理模块，其被配置为：A processing module configured to:
根据m*n个所述温度获取m*n个所述温度的权重，并根据m*n个所述权重获取n个熵值，其中，m*n个所述权重为每个所述采样时刻下，每个所述温度采集点的所述温度在m个所述温度采集点的所述温度中所占的权重，n个所述熵值为m个所述温度采集点在每个所述采样时刻下的熵值；Obtain m*n weights of the temperatures according to the m*n temperatures, and obtain n entropy values according to the m*n weights, wherein the m*n weights are the weights of the temperature of each temperature collection point in the temperatures of the m temperature collection points at each sampling moment, and the n entropy values are the entropy values of the m temperature collection points at each sampling moment;
根据n个所述熵值获取n个熵权，其中，n个所述熵权为每个所述熵值在n个所述熵值中所占的熵权；Obtain n entropy weights according to the n entropy values, wherein the n entropy weights are the entropy weights of each entropy value in the n entropy values;
根据m*n个所述权重以及n个所述熵权获取m个第一评价参数，其中， m个所述第一评价参数为每个所述温度采集点在所述采样时长内的第一评价参数；Obtain m first evaluation parameters according to the m*n weights and the n entropy weights, wherein the m first evaluation parameters are first evaluation parameters of each temperature collection point within the sampling time;
根据每个所述温度采集点的所述第一评价参数的变化趋势，判断每个所述温度采集点是否存在温度异常的情况，若是，则判断所述车辆电池存在热失控的风险。According to the change trend of the first evaluation parameter of each temperature collection point, it is determined whether there is a temperature abnormality at each temperature collection point. If so, it is determined that there is a risk of thermal runaway of the vehicle battery.
实施例四Embodiment 4
本申请实施例四提供一种计算机设备，包括存储器、处理器及存储在存储器上并可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本申请提供的任意一种车辆电池的热失控预警方法的步骤。Embodiment 4 of the present application provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of any one of the thermal runaway warning methods for vehicle batteries provided in the present application are implemented.
实施例五Embodiment 5
本申请实施例五提供一种计算机可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现本申请提供的任意一种的车辆电池的热失控预警方法的步骤。Embodiment 5 of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of any one of the thermal runaway warning methods for vehicle batteries provided in the present application are implemented.
以上实施例的各技术特征可以进行任意的个合，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个合都进行描述，然而，只要这些技术特征的个合不存在矛盾，都应当认为是本说明书记载的范围。The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be 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发明专利范围的限制。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 methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.
Claims (10)
1.一种车辆电池的热失控预警方法，其特征在于，所述热失控预警方法包括：1. A thermal runaway early warning method for a vehicle battery, characterized in that the thermal runaway early warning method comprises: 获取车辆电池在采样时长内的温度，其中，所述温度在车辆电池上的m个温度采集点进行获取，并且在所述采样时长内，每个所述温度采集点分别获取n个采样时刻下的所述温度；Acquire the temperature of the vehicle battery within a sampling time, wherein the temperature is acquired at m temperature acquisition points on the vehicle battery, and within the sampling time, each temperature acquisition point acquires the temperature at n sampling moments respectively; 根据m*n个所述温度获取m*n个所述温度的权重，并根据m*n个所述权重获取n个熵值，其中，m*n个所述权重为每个所述采样时刻下，每个所述温度采集点的所述温度在m个所述温度采集点的所述温度中所占的权重，n个所述熵值为m个所述温度采集点在每个所述采样时刻下的熵值；Obtain m*n weights of the temperatures according to the m*n temperatures, and obtain n entropy values according to the m*n weights, wherein the m*n weights are the weights of the temperature of each temperature collection point in the temperatures of the m temperature collection points at each sampling moment, and the n entropy values are the entropy values of the m temperature collection points at each sampling moment; 根据n个所述熵值获取n个熵权，其中，n个所述熵权为每个所述熵值在n个所述熵值中所占的熵权；Obtain n entropy weights according to the n entropy values, wherein the n entropy weights are the entropy weights of each entropy value in the n entropy values; 根据m*n个所述权重以及n个所述熵权获取m个第一评价参数，其中，m个所述第一评价参数为每个所述温度采集点在所述采样时长内的第一评价参数；Obtain m first evaluation parameters according to the m*n weights and the n entropy weights, wherein the m first evaluation parameters are first evaluation parameters of each temperature collection point within the sampling time; 根据每个所述温度采集点的所述第一评价参数的变化趋势，判断每个所述温度采集点是否存在温度异常的情况，若是，则判断所述车辆电池存在热失控的风险。According to the change trend of the first evaluation parameter of each temperature collection point, it is determined whether there is a temperature abnormality at each temperature collection point. If so, it is determined that there is a risk of thermal runaway of the vehicle battery. 2.根据权利要求1所述的车辆电池的热失控预警方法，其特征在于，当获取车辆电池在采样时长内的温度时，m为正偶数，每两个所述温度采集点对应设置在所述车辆电池的一个电池模组上；2. The thermal runaway early warning method for a vehicle battery according to claim 1, characterized in that when obtaining the temperature of the vehicle battery within a sampling period, m is a positive even number, and every two of the temperature collection points are correspondingly arranged on a battery module of the vehicle battery; 当根据m*n个所述权重以及n个所述熵权获取m个第一评价参数时，根据m个所述第一评价参数获取m/2个第二评价参数，m/2个所述第二评价参数为每个所述电池模组在所述采样时长内的第二评价参数；When m first evaluation parameters are obtained according to m*n weights and n entropy weights, m/2 second evaluation parameters are obtained according to the m first evaluation parameters, and the m/2 second evaluation parameters are second evaluation parameters of each battery module within the sampling time length; 根据每个所述温度采集点的所述第一评价参数的变化趋势，判断每个所述温度采集点是否存在温度异常的情况，若是，则判断所述车辆电池存在热失控的风险，被替换为：According to the change trend of the first evaluation parameter of each temperature collection point, it is judged whether each temperature collection point has a temperature abnormality, and if so, it is judged that the vehicle battery has a risk of thermal runaway, is replaced by: 根据每个所述电池模组的所述第二评价参数的变化趋势，判断每个所述电池模组是否存在温度异常的情况，若是，则判断所述车辆电池存在热失控的风险。According to the change trend of the second evaluation parameter of each battery module, it is determined whether each battery module has abnormal temperature. If so, it is determined that the vehicle battery has a risk of thermal runaway. 3.根据权利要求2所述的车辆电池的热失控预警方法，其特征在于，根据m*n个所述温度获取m*n个所述温度的权重，并根据m*n个所述权重获取n个熵值，包括：3. The thermal runaway warning method for a vehicle battery according to claim 2, characterized in that the weights of m*n temperatures are obtained according to the m*n temperatures, and n entropy values are obtained according to the m*n weights, comprising: 根据m*n个所述温度建立温度矩阵：Establish a temperature matrix based on m*n temperatures: 其中，tij表示第i个所述温度探头在j时刻所代表的所述采样时刻下的温度；Wherein, t ij represents the temperature of the ith temperature probe at the sampling time represented by time j; 采用数据归一化方法，将所述温度矩阵转化为所述温度的权重矩阵：The temperature matrix is converted into the temperature weight matrix by using the data normalization method: 其中，pij表示在j时刻所代表的所述采样时刻下第i个所述温度探头的温度在m个所述温度探头的温度中所占的权重；Wherein, p ij represents the weight of the temperature of the ith temperature probe in the temperatures of the m temperature probes at the sampling time represented by time j; 根据所述权重矩阵获取n个熵值，其数学表达为：According to the weight matrix, n entropy values are obtained, and the mathematical expression thereof is: 其中，ej表示m个所述温度探头j时刻所代表的所述采样时刻下的熵值， Wherein, e j represents the entropy value at the sampling time represented by the m temperature probes at the jth time, 4.根据权利要求3所述的车辆电池的热失控预警方法，其特征在于，根据n个所述熵值获取n个熵权的数学表达为：4. The thermal runaway warning method for a vehicle battery according to claim 3, characterized in that the mathematical expression for obtaining n entropy weights according to the n entropy values is: 其中，Wj表示m个所述温度采集点在j时刻所代表的所述采样时刻下的熵值在n个采样时刻下的熵值中所占的熵权。Wherein, W j represents the entropy weight of the entropy value of the m temperature collection points at the sampling time represented by time j in the entropy value at n sampling times. 5.根据权利要求4所述的车辆电池的热失控预警方法，其特征在于，根据m*n个所述温度的权重以及n个所述熵权获取m个第一评价参数的数学表达为：5. The thermal runaway warning method for a vehicle battery according to claim 4, characterized in that the mathematical expression of obtaining the m first evaluation parameters according to the m*n weights of the temperature and the n entropy weights is: 其中，Si表示第i个所述温度探头在所述采样时长内的第一评价参数。Wherein, Si represents the first evaluation parameter of the i-th temperature probe within the sampling time period. 6.根据权利要求5所述的车辆电池的热失控预警方法，其特征在于，根据m个所述第一评价参数获取m/2个所述电池模组的第二评价参数的数学表达为：6. The thermal runaway warning method for a vehicle battery according to claim 5, characterized in that the mathematical expression for obtaining m/2 second evaluation parameters of the battery modules according to m first evaluation parameters is: Mi/2＝|Si-Si-1| Mi/2 = | Si -Si -1 | 其中，i＝2，4，6，8...，Mi/2表示第i/2个所述电池模组在所述采样时长内的所述第二评价参数。Wherein, i=2, 4, 6, 8, ..., Mi /2 represents the second evaluation parameter of the i/2th battery module within the sampling time period. 7.根据权利要求1所述的车辆电池的热失控预警方法，其特征在于，获取车辆电池在采样时长内的温度，包括：7. The thermal runaway early warning method for a vehicle battery according to claim 1, characterized in that obtaining the temperature of the vehicle battery within a sampling period comprises: 获取充电状态信号，其中，所述充电状态信号包括以下之一：所述车辆电池未完成充电、所述车辆电池完成充电；Acquire a charging status signal, wherein the charging status signal includes one of the following: the vehicle battery is not fully charged, the vehicle battery is fully charged; 当处于所述车辆电池完成充电时，获取车辆电池在采样时长内的温度。When the vehicle battery is completely charged, the temperature of the vehicle battery within the sampling time period is obtained. 8.一种车辆电池的热失控预警装置，其特征在于，所述热失控预警装置包括：8. A thermal runaway warning device for a vehicle battery, characterized in that the thermal runaway warning device comprises: 获取模块，其被配置为：Get the module, which is configured as: 获取车辆电池在采样时长内的温度，其中，所述温度在车辆电池上的m个温度采集点进行获取，并且在所述采样时长内，每个所述温度采集点分别获取n个采样时刻下的所述温度；Acquire the temperature of the vehicle battery within a sampling time, wherein the temperature is acquired at m temperature acquisition points on the vehicle battery, and within the sampling time, each temperature acquisition point acquires the temperature at n sampling moments respectively; 处理模块，其被配置为：A processing module configured to: 根据m*n个所述温度获取m*n个所述温度的权重，并根据m*n个所述权重获取n个熵值，其中，m*n个所述权重为每个所述采样时刻下，每个所述温度采集点的所述温度在m个所述温度采集点的所述温度中所占的权重，n个所述熵值为m个所述温度采集点在每个所述采样时刻下的熵值；Obtain weights of m*n temperatures according to the m*n temperatures, and obtain n entropy values according to the m*n weights, wherein the m*n weights are the weights of the temperature of each temperature collection point in the temperatures of the m temperature collection points at each sampling moment, and the n entropy values are the entropy values of the m temperature collection points at each sampling moment; 根据n个所述熵值获取n个熵权，其中，n个所述熵权为每个所述熵值在n个所述熵值中所占的熵权；Obtain n entropy weights according to the n entropy values, wherein the n entropy weights are the entropy weights of each entropy value in the n entropy values; 根据m*n个所述权重以及n个所述熵权获取m个第一评价参数，其中，m个所述第一评价参数为每个所述温度采集点在所述采样时长内的第一评价参数；Obtain m first evaluation parameters according to the m*n weights and the n entropy weights, wherein the m first evaluation parameters are first evaluation parameters of each temperature collection point within the sampling time; 根据每个所述温度采集点的所述第一评价参数的变化趋势，判断每个所述温度采集点是否存在温度异常的情况，若是，则判断所述车辆电池存在热失控的风险。According to the change trend of the first evaluation parameter of each temperature collection point, it is determined whether there is a temperature abnormality at each temperature collection point. If so, it is determined that there is a risk of thermal runaway of the vehicle battery. 9.一种计算机设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现权利要求1至7中任一项所述的车辆电池的热失控预警方法的步骤。9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the thermal runaway warning method for a vehicle battery according to any one of claims 1 to 7 when executing the computer program. 10.一种计算机可读存储介质，其上存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现权利要求1至7中任一项所述的车辆电池的热失控预警方法的步骤。10. A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of the thermal runaway warning method for a vehicle battery according to any one of claims 1 to 7 are implemented.
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