WO2021238706A1 - 电池热失控预警方法、装置、介质和设备 - Google Patents

电池热失控预警方法、装置、介质和设备 Download PDF

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WO2021238706A1
WO2021238706A1 PCT/CN2021/094162 CN2021094162W WO2021238706A1 WO 2021238706 A1 WO2021238706 A1 WO 2021238706A1 CN 2021094162 W CN2021094162 W CN 2021094162W WO 2021238706 A1 WO2021238706 A1 WO 2021238706A1
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current
temperature
voltage
sensor
battery pack
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PCT/CN2021/094162
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English (en)
French (fr)
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邓林旺
尹永刚
冯天宇
刘思佳
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比亚迪股份有限公司
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Priority to KR1020227044021A priority Critical patent/KR20230011384A/ko
Priority to EP21812195.2A priority patent/EP4145583A4/en
Priority to JP2022573453A priority patent/JP2023527457A/ja
Publication of WO2021238706A1 publication Critical patent/WO2021238706A1/zh
Priority to US17/994,730 priority patent/US20230093420A1/en

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G01R31/3835—Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
    • G01K1/14—Supports; Fastening devices; Arrangements for mounting thermometers in particular locations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K3/00—Thermometers giving results other than momentary value of temperature
    • G01K3/005—Circuits arrangements for indicating a predetermined temperature
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H01M10/486—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for measuring temperature
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M2220/00—Batteries for particular applications
    • H01M2220/20—Batteries in motive systems, e.g. vehicle, ship, plane
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

Definitions

  • the present disclosure relates to the technical field of battery management, and in particular to a method, device, medium and equipment for early warning of battery thermal runaway.
  • the present disclosure proposes a battery thermal runaway warning method, device, medium and equipment to improve the accuracy and rapidity of the battery thermal runaway warning.
  • the battery thermal runaway early warning method includes:
  • the current temperature data count the number of main-level features at the current moment, where the main-level features include abnormal temperature characteristics of the temperature sensor, and the number of main-level features at the current moment refers to the number of main-level features that are arranged in the battery pack. The sum of the number of abnormal temperature characteristics of all the temperature sensors in the current moment;
  • the number of occurrences of the primary features is greater than 0, the number of occurrences of secondary features at the current moment is counted according to the current voltage data and the current sensor disconnection data, wherein the secondary features include the voltage sensor The abnormal voltage characteristics and the sensor disconnection characteristics of the temperature sensor.
  • the number of secondary features at the current moment refers to the sensor disconnection characteristics and all the sensor disconnection characteristics of all the temperature sensors arranged in the battery pack at the current moment. The sum of abnormal voltage characteristics of the voltage sensor at the current moment;
  • an early warning device for battery thermal runaway including:
  • An acquisition module for acquiring current temperature data of each temperature sensor arranged in the battery pack, current voltage data of each voltage sensor arranged in the battery pack, and current sensor disconnection data of each temperature sensor;
  • the statistics module is configured to count the number of occurrences of main-level features at the current moment according to the current temperature data, and when the number of occurrences of the main-level features is greater than 0, according to the current voltage data and the current sensor disconnection data, Count the number of occurrences of secondary features at the current moment, where the primary features include abnormal temperature characteristics of the temperature sensor, and the number of occurrences of primary features at the current moment refers to all the temperature sensors arranged in the battery pack
  • the sum of the number of abnormal temperature features that occur at the current moment, the secondary feature includes the abnormal voltage feature of the voltage sensor and the sensor disconnection feature of the temperature sensor, and the number of secondary feature occurrences at the current moment refers to the layout
  • a calculation module for calculating the sum of the number of occurrences of the primary features and the number of occurrences of the secondary features at the current moment;
  • the early warning module is used to perform an early warning of battery thermal runaway when the sum is greater than the preset characteristic number threshold.
  • the present disclosure proposes a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the method according to the first embodiment of the present disclosure are realized.
  • the present disclosure proposes an electronic device, including: a memory on which a computer program is stored; a processor, configured to execute the computer program in the memory, so as to implement the The steps of the method.
  • the thermal runaway features are divided into primary features and secondary features, and only after the primary features are triggered, the secondary features will take effect, so it can reduce the false alarm rate of thermal runaway and speed up
  • the method according to the embodiment of the present disclosure does not need to increase the hardware cost, and uses a simple method to improve the accuracy and speed of the thermal runaway warning.
  • Fig. 1 is a flowchart of a battery thermal runaway warning method according to an embodiment of the present disclosure.
  • Fig. 2 is a schematic block diagram of an early warning device for battery thermal runaway according to an embodiment of the present disclosure.
  • Fig. 3 is a block diagram showing an electronic device according to an exemplary embodiment.
  • Fig. 1 is a flowchart of a battery thermal runaway warning method according to an embodiment of the present disclosure. As shown in Figure 1, the method includes the following steps S11 to S15.
  • step S11 the current temperature data of each temperature sensor arranged in the battery pack, the current voltage data of each voltage sensor arranged in the battery pack, and the current sensor disconnection data of each temperature sensor are acquired.
  • the current temperature data sensed by the M1 temperature sensors, the current voltage data sensed by the M2 voltage sensors, and the current temperature data of the M1 temperature sensors are acquired.
  • Current sensor disconnection data the current temperature data, current voltage data, and current sensor disconnection data can be obtained from the battery management system, or directly from the temperature sensor and the voltage sensor, respectively.
  • step S12 according to the current temperature data, count the number of main-level features at the current moment, where the main-level features include temperature abnormalities of temperature sensors, and the number of main-level features at the current moment refers to all temperature sensors arranged in the battery pack The sum of the number of abnormal temperature features that occurred at the current moment.
  • the abnormal temperature characteristics include that the current temperature of the temperature sensor in the battery pack exceeds a preset temperature threshold, and/or the current temperature rise rate of the temperature sensor in the battery pack exceeds Preset temperature rise rate threshold.
  • the initial value of the main-level feature appearance number n1 is 0 when the statistics are started at each moment. That is, for example, when the statistics are started at the previous time, the initial value of the number of main-level features n1 is 0; then, when the statistics are started at the current time, the initial value of the number of main-level features n1 will be reset. Set to 0.
  • the current temperature data sensed by the i-th temperature sensor in the aforementioned M1 temperature sensors triggers the following two conditions: (1) The current temperature of the temperature sensor exceeds the preset temperature threshold, that is, Ti>Tmax, where Ti is the current temperature sensed by the i-th temperature sensor, and Tmax is the preset temperature threshold; (2) The current temperature rise rate of the temperature sensor exceeds the preset temperature rise rate threshold, that is, Ti-T′i >Smax, where T'i is the temperature sensed by the i-th temperature sensor at the last moment, and Smax is the preset temperature rise rate threshold.
  • the temperature rise rate refers to the difference between the current temperature of the temperature sensor and the temperature at the previous moment.
  • the value of the number of main-level features n1 will increase by 1. For example, assuming that the current temperature sensed by the i-th temperature sensor exceeds the preset temperature threshold, the value of the number of main-level features n1 will be increased by 1, and then the current temperature rise rate of the i-th temperature sensor also exceeds the preset temperature Increasing the rate threshold, the number n1 of the main-level features will continue to increase by 1. After judging all the current temperature data of all M1 temperature sensors, the value of the number of main-level features n1 is equal to the sum of the main-level features of all temperature sensors in the battery pack at the current moment, so as to obtain the final main-level feature at the current moment. The number of level features is n1.
  • step S13 when the number of primary features is greater than 0 (this means that the primary features are detected), the number of secondary features at the current moment is counted based on the current voltage data and the current sensor disconnection data, where the secondary features Including the abnormal voltage characteristics of the voltage sensor and the sensor disconnection characteristics of the temperature sensor.
  • the number of secondary characteristics at the current moment refers to the sensor disconnection characteristics of all temperature sensors arranged in the battery pack at the current moment and the current sensor disconnection characteristics of all voltage sensors. The sum of the abnormal voltage characteristics that appear at all times.
  • this step it is possible to sequentially determine whether the aforementioned M1 temperature sensors are disconnected according to the current sensor disconnection signal of the temperature sensor, and count the number of disconnected temperature sensors n2_T. Moreover, it will determine whether the current voltage data of the aforementioned M2 voltage sensors is abnormal, and count the number of voltage sensors in abnormal state n2_V. Specifically, when judging whether the current voltage data of the j-th voltage sensor is abnormal, it refers to whether its current voltage data meets any of the following conditions: the voltage sensor is disconnected, and the current voltage of the voltage sensor is greater than the preset upper limit voltage , The current voltage of the voltage sensor is less than the preset lower limit voltage.
  • the initial values of n2, n2_T, and n2_V are all 0 when statistics are started at each moment. That is, for example, when statistics are started at the previous moment, the initial values of n2, n2_T, and n2_V are 0; then, when statistics are started at the current moment, the initial values of n2, n2_T, and n2_V will be reset to 0.
  • the temperature sensor disconnection means that the circuit where the temperature sensor is located is disconnected, so that temperature detection cannot be performed; the voltage sensor disconnection means that the circuit where the voltage sensor is located is disconnected, so that the voltage detection cannot be performed.
  • the temperature data and the voltage data at the next moment will be processed.
  • step S15 if the sum N is greater than the preset feature number threshold Nmax, this indicates that a thermal runaway fault is detected at the current moment, and a battery thermal runaway warning is performed.
  • the sum N is not greater than the preset feature number threshold Nmax, it means that no thermal runaway fault is detected at the current moment, and then according to the method of the embodiment of the present disclosure, the temperature data and voltage data at the next moment will be processed.
  • the thermal runaway features are divided into primary features and secondary features, and only after the primary features are triggered, the secondary features will take effect, which can reduce the rate of thermal runaway false alarms and speed up the thermal response. Out-of-control response speed; In addition, because it makes reasonable use of temperature and voltage disconnection information, it can reduce the rate of thermal runaway false alarms.
  • the method according to the embodiment of the present disclosure does not need to increase the hardware cost, and uses a simple method to improve the accuracy and speed of the thermal runaway warning.
  • Fig. 2 is a schematic block diagram of an early warning device for battery thermal runaway according to an embodiment of the present disclosure.
  • the device includes: an acquisition module 21 for acquiring the current temperature data of each temperature sensor arranged in the battery pack, the current voltage data of each voltage sensor arranged in the battery pack, and the current temperature of each temperature sensor. Sensor disconnection data; the statistics module 22 is used to count the number of main-level features present at the current time based on the current temperature data.
  • the current voltage data and current sensor disconnection data are used to count the current
  • the number of secondary features at the moment where the primary features include temperature abnormalities of temperature sensors, and the number of primary features at the current time refers to the sum of the number of abnormal temperature features of all temperature sensors arranged in the battery pack at the current time.
  • the secondary characteristics include the abnormal voltage characteristics of the voltage sensor and the sensor disconnection characteristics of the temperature sensor.
  • the number of secondary characteristics at the current moment refers to the sensor disconnection characteristics and all voltages of all temperature sensors arranged in the battery pack at the current moment.
  • the sum of the voltage abnormal features of the sensor at the current moment is used to calculate the sum of the number of primary features and the number of secondary features at the current moment; the early warning module 24 is used when the sum is greater than the preset feature number threshold In the case of battery thermal runaway warning.
  • the thermal runaway features are divided into primary features and secondary features, and only after the primary features are triggered, the secondary features will take effect, which can reduce the rate of thermal runaway false alarms and speed up the thermal response. Out-of-control response speed; In addition, because it makes reasonable use of temperature and voltage disconnection information, it can reduce the rate of thermal runaway false alarms.
  • the method according to the embodiment of the present disclosure does not need to increase the hardware cost, and uses a simple method to improve the accuracy and speed of the thermal runaway warning.
  • the current temperature data includes the current temperature and the current temperature rise rate
  • the abnormal temperature feature includes that the current temperature of the temperature sensor in the battery pack exceeds a preset temperature threshold, and/or the current temperature rise rate of the temperature sensor in the battery pack Exceeds the preset temperature rise rate threshold.
  • the abnormal voltage characteristics include disconnection of the voltage sensor in the battery pack, the current voltage of the voltage sensor in the battery pack is greater than the preset upper limit voltage, and the current voltage of the voltage sensor in the battery pack is less than the preset lower limit voltage.
  • the early warning module 24 is also used to determine that no thermal runaway has occurred when the number of occurrences of the main-level features is equal to zero.
  • Fig. 3 is a block diagram showing an electronic device 700 according to an exemplary embodiment.
  • the electronic device 700 may include: a processor 701 and a memory 702.
  • the electronic device 700 may further include one or more of a multimedia component 703, an input/output (I/O) interface 704, and a communication component 705.
  • the processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the above-mentioned battery thermal runaway warning method.
  • the memory 702 is used to store various types of data to support operations on the electronic device 700. These data may include, for example, instructions for any application or method to operate on the electronic device 700, and application-related data , Such as contact data, messages sent and received, pictures, audio, video, etc.
  • the memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, SRAM for short), electrically erasable programmable read-only memory ( Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-only Memory (Read-Only Memory, ROM for short), magnetic memory, flash memory, magnetic disk or optical disk.
  • the multimedia component 703 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and/or input audio signals.
  • the audio component may include a microphone, which is used to receive external audio signals.
  • the received audio signal may be further stored in the memory 702 or sent through the communication component 705.
  • the audio component also includes at least one speaker for outputting audio signals.
  • the I/O interface 704 provides an interface between the processor 701 and other interface modules.
  • the above-mentioned other interface modules may be a keyboard, a mouse, a button, and the like. These buttons can be virtual buttons or physical buttons.
  • the communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so the corresponding communication component 705 may include: Wi-Fi module, Bluetooth module, NFC module.
  • the electronic device 700 may be used by one or more application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), digital signal processor (Digital Signal Processor, DSP for short), and digital signal processing equipment (Digital Signal Processor).
  • ASIC Application Specific Integrated Circuit
  • DSP Digital Signal Processor
  • Digital Signal Processor Digital Signal Processor
  • DSPD Signal Processing Device
  • PLD Programmable Logic Device
  • FPGA Field Programmable Gate Array
  • controller microcontroller, microprocessor or other electronic components Realized, used to implement the above-mentioned battery thermal runaway early warning method.
  • a computer-readable storage medium including program instructions that, when executed by a processor, implement the steps of the foregoing battery thermal runaway warning method.
  • the computer-readable storage medium may be the foregoing memory 702 including program instructions, which may be executed by the processor 701 of the electronic device 700 to complete the foregoing battery thermal runaway warning method.

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Abstract

一种电池热失控预警方法、装置、介质和设备，属于电池管理技术领域。电池热失控预警方法，包括：获取布置在电池包内的各个温度传感器的当前温度数据、布置在电池包内的各个电压传感器的当前电压数据以及各个温度传感器的当前传感器断线数据（511）；根据当前温度数据，统计当前时刻主级特征出现数量（512）；在主级特征出现数量大于0的情况下，根据当前电压数据以及当前传感器断线数据，统计当前时刻次级特征出现数量（513）；计算当前时刻下主级特征出现数量和次级特征出现数量的总和（514）；在总和大于预设特征数阈值的情况下，进行电池热失控预警（515）。

Description

电池热失控预警方法、装置、介质和设备
相关申请的交叉引用
本公开要求于2020年05月29日提交的申请号为202010476565.2、名称为“电池热失控预警方法、装置、介质和设备”的中国专利申请的优先权，其全部内容通过引用结合在本公开中。
技术领域
本公开涉及电池管理技术领域，具体地，涉及一种电池热失控预警方法、装置、介质和设备。
背景技术
为了进行电池热失控预警，通常的做法是采用各种温度传感器、电压传感器、烟雾传感器、气压传感器等对电池包进行监测。然而，传感器的数量越多，电池包的成本越高，设计越复杂。而且，热失控过程中产生的高温气流、火焰等会损坏传感器、线束等电池包相关结构，导致传感器有效信号缺失，无法正确识别热失控；若传感器自身发生故障，则容易导致误报警。
发明内容
本公开提出了一种电池热失控预警方法、装置、介质和设备，以提升电池热失控预警的准确性和快速性。
第一方面，本公开提出了一种电池热失控预警方法，所述电池热失控预警方法包括：
获取布置在电池包内的各个温度传感器的当前温度数据、布置在所述电池包内的各个电压传感器的当前电压数据以及所述各个温度传感器的当前传感器断线数据；
根据所述当前温度数据，统计当前时刻主级特征出现数量，其中所述主级特征包括所述温度传感器的温度异常特征，所述当前时刻主级特征出现数量指的是布置在所述电池包内的所有所述温度传感器在当前时刻出现的温度异常特征数量之和；
在所述主级特征出现数量大于0的情况下，根据所述当前电压数据以及所述当前传感器断线数据，统计当前时刻次级特征出现数量，其中所述次级特征包括所述电压传感器的电压异常特征和所述温度传感器的传感器断线特征，所述当前时刻次级特征出现数量指的是布置在所述电池包内的所有所述温度传感器在当前时刻出现的传感器断线特征 和所有所述电压传感器在当前时刻出现的电压异常特征之和；
计算当前时刻下所述主级特征出现数量和所述次级特征出现数量的总和；
在所述总和大于预设特征数阈值的情况下，进行电池热失控预警。
第二方面，本公开提出了一种电池热失控预警装置，包括：
获取模块，用于获取布置在电池包内的各个温度传感器的当前温度数据、布置在所述电池包内的各个电压传感器的当前电压数据以及所述各个温度传感器的当前传感器断线数据；
统计模块，用于根据所述当前温度数据，统计当前时刻主级特征出现数量，在所述主级特征出现数量大于0的情况下，根据所述当前电压数据以及所述当前传感器断线数据，统计当前时刻次级特征出现数量，其中所述主级特征包括所述温度传感器的温度异常特征，所述当前时刻主级特征出现数量指的是布置在所述电池包内的所有所述温度传感器在当前时刻出现的温度异常特征数量之和，所述次级特征包括所述电压传感器的电压异常特征和所述温度传感器的传感器断线特征，所述当前时刻次级特征出现数量指的是布置在所述电池包内的所有所述温度传感器在当前时刻出现的传感器断线特征和所有所述电压传感器在当前时刻出现的电压异常特征之和；
计算模块，用于计算当前时刻下所述主级特征出现数量和所述次级特征出现数量的总和；
预警模块，用于在所述总和大于预设特征数阈值的情况下，进行电池热失控预警。
第三方面，本公开提出了一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现根据本公开第一实施例所述方法的步骤。
第四方面，本公开提出了一种电子设备，包括：存储器，其上存储有计算机程序；处理器，用于执行所述存储器中的所述计算机程序，以实现根据本公开第一实施例所述方法的步骤。
通过采用上述技术方案，由于将热失控特征分为主级特征和次级特征，而且只有在主级特征被触发以后，次级特征才会生效，因此其能够减小热失控误报率，加快了对热失控的响应速度；另外，由于其合理地利用了温度、电压断线信息，所以能够减小热失控漏报率。此外，根据本公开实施例的方法不需要增加硬件成本，利用简便的方法提升了热失控预警的准确性和快速性。
本公开的其他特征和优点将在随后的具体实施方式部分予以详细说明。
附图说明
通过阅读参照以下附图所作的对非限制性实施例所作的详细描述，本公开的其它特征、目的和优点将会变得更明显：
图1是根据本公开一种实施例的电池热失控预警方法的流程图。
图2是根据本公开一种实施例的电池热失控预警装置的示意框图。
图3是根据一示例性实施例示出的一种电子设备的框图。
具体实施方式
以下结合附图对本公开的具体实施方式进行详细说明。应当理解的是，此处所描述的具体实施方式仅用于说明和解释本公开，并不用于限制本公开。
图1是根据本公开一种实施例的电池热失控预警方法的流程图。如图1所示，该方法包括以下步骤S11至S15。
在步骤S11中，获取布置在电池包内的各个温度传感器的当前温度数据、布置在电池包内的各个电压传感器的当前电压数据以及各个温度传感器的当前传感器断线数据。
例如，假设在电池包内布置有M1个温度传感器和M2个电压传感器，则获取这M1个温度传感器感测的当前温度数据、M2个电压传感器感测的当前电压数据以及这M1个温度传感器的当前传感器断线数据。其中，当前温度数据、当前电压数据、当前传感器断线数据可以从电池管理***获取，也可以分别直接从温度传感器和电压传感器获取。
在步骤S12中，根据当前温度数据，统计当前时刻主级特征出现数量，其中主级特征包括温度传感器的温度异常特征，当前时刻主级特征出现数量指的是布置在电池包内的所有温度传感器在当前时刻出现的温度异常特征数量之和。
在当前温度数据包括当前温度和当前温升速率的情况下，温度异常特征包括电池包内的温度传感器的当前温度超过预设温度阈值，和/或电池包内的温度传感器的当前温升速率超过预设温升速率阈值。
其中，在每一时刻开始进行统计时，主级特征出现数量n1的初值都为0。也即，例如，在上一时刻起始进行统计时，主级特征出现数量n1的初值为0；然后，在当前时刻起始进行统计时，主级特征出现数量n1的初值会被重置为0。
在该步骤中，可以首先判断前述的M1个温度传感器中的第i个温度传感器感测的当前温度数据是否触发以下两个条件：(1)温度传感器的当前温度超过预设温度阈值，也即Ti>Tmax，其中Ti是第i个温度传感器感测的当前温度，Tmax是预设温度阈值；(2)温度传感器的当前温升速率超过预设温升速率阈值，也即Ti-T′i>Smax，其中，T′i是第i 个温度传感器感测的上一时刻的温度，Smax是预设温升速率阈值。
在本公开中，温升速率指的是温度传感器的当前温度与上一时刻的温度的差值。
每触发上述两个条件中的一个条件，主级特征出现数量n1的数值就会加1。例如，假设第i个温度传感器感测的当前温度超过了预设温度阈值，则主级特征出现数量n1的数值会加1，然后第i个温度传感器的当前温升速率也超过了预设温升速率阈值，则主级特征出现数量n1的数值会继续加1。当判断完所有M1个温度传感器的所有当前温度数据之后，主级特征出现数量n1的数值就等于当前时刻电池包内的所有温度传感器出现的主级特征之和，从而得到当前时刻下最终的主级特征出现数量n1。
在步骤S13中，在主级特征出现数量大于0(这说明检测到了主级特征)的情况下，根据当前电压数据以及当前传感器断线数据，统计当前时刻次级特征出现数量，其中次级特征包括电压传感器的电压异常特征和温度传感器的传感器断线特征，当前时刻次级特征出现数量指的是布置在电池包内的所有温度传感器在当前时刻出现的传感器断线特征和所有电压传感器在当前时刻出现的电压异常特征之和。
在该步骤中，可以根据温度传感器的当前传感器断线信号来依次判断前述的M1个温度传感器是否断线，并统计断线的温度传感器的数目n2_T。而且，还会依次判断前述的M2个电压传感器的当前电压数据是否异常，并统计处于异常状态的电压传感器的数目n2_V。具体地，在判断第j个电压传感器的当前电压数据是否异常时，指的是其当前电压数据是否符合以下条件中的任意一者：电压传感器断线、电压传感器的当前电压大于预设上限电压、电压传感器的当前电压小于预设下限电压。则，当前时刻出现的次级特征出现数量n2＝n2_T+n2_V。其中，在每一时刻开始进行统计时，n2、n2_T、n2_V的初值都为0。也即，例如，在上一时刻起始进行统计时，n2、n2_T、n2_V的初值为0；然后，在当前时刻起始进行统计时，n2、n2_T、n2_V的初值会被重置为0。
在本公开中，温度传感器断线指的是温度传感器所在回路被断开，从而不能进行温度检测；电压传感器断线指的是电压传感器所在回路被断开，从而不能进行电压检测。
另外，如果主级特征出现数量等于0，则说明当前时刻没有检测到主级特征，因此可以确定没有出现热失控，从而也就不需要进一步统计次级特征出现的数量。由此根据本公开实施例的方法，会等待对下一时刻的温度数据和电压数据进行处理。
在步骤S14中，计算当前时刻下主级特征出现数量和次级特征出现数量的总和N＝n1+n2。
在步骤S15中，在总和N大于预设特征数阈值Nmax的情况下，这说明当前时刻检测到了热失控故障，则进行电池热失控预警。
如果总和N不大于预设特征数阈值Nmax，则说明当前时刻未检测到热失控故障，则根据本公开实施例的方法，会等待对下一时刻的温度数据和电压数据进行处理。
通过采用上述技术方案，将热失控特征分为主级特征和次级特征，而且只有在主级特征被触发以后，次级特征才会生效，能够减小热失控误报率，加快了对热失控的响应速度；另外，由于其合理地利用了温度、电压断线信息，所以能够减小热失控漏报率。此外，根据本公开实施例的方法不需要增加硬件成本，利用简便的方法提升了热失控预警的准确性和快速性。
图2是根据本公开一种实施例的电池热失控预警装置的示意框图。如图2所示，该装置包括：获取模块21，用于获取布置在电池包内的各个温度传感器的当前温度数据、布置在电池包内的各个电压传感器的当前电压数据以及各个温度传感器的当前传感器断线数据；统计模块22，用于根据当前温度数据，统计当前时刻主级特征出现数量，在主级特征出现数量大于0的情况下，根据当前电压数据以及当前传感器断线数据，统计当前时刻次级特征出现数量，其中主级特征包括温度传感器的温度异常特征，当前时刻主级特征出现数量指的是布置在电池包内的所有温度传感器在当前时刻出现的温度异常特征数量之和，次级特征包括电压传感器的电压异常特征和温度传感器的传感器断线特征，当前时刻次级特征出现数量指的是布置在电池包内的所有温度传感器在当前时刻出现的传感器断线特征和所有电压传感器在当前时刻出现的电压异常特征之和；计算模块23，用于计算当前时刻下主级特征出现数量和次级特征出现数量的总和；预警模块24，用于在总和大于预设特征数阈值的情况下，进行电池热失控预警。
通过采用上述技术方案，将热失控特征分为主级特征和次级特征，而且只有在主级特征被触发以后，次级特征才会生效，能够减小热失控误报率，加快了对热失控的响应速度；另外，由于其合理地利用了温度、电压断线信息，所以能够减小热失控漏报率。此外，根据本公开实施例的方法不需要增加硬件成本，利用简便的方法提升了热失控预警的准确性和快速性。
可选地，当前温度数据包括当前温度和当前温升速率，则温度异常特征包括电池包内的温度传感器的当前温度超过预设温度阈值，和/或电池包内的温度传感器的当前温升速率超过预设温升速率阈值。
可选地，电压异常特征包括电池包内的电压传感器断线、电池包内的电压传感器的当前电压大于预设上限电压、电池包内的电压传感器的当前电压小于预设下限电压。
可选地，预警模块24还用于在主级特征出现数量等于0的情况下确定没有出现热失控。
关于上述实施例中的装置，其中各个模块执行操作的具体方式已经在有关该方法的实施例中进行了详细描述，此处将不做详细阐述说明。
图3是根据一示例性实施例示出的一种电子设备700的框图。如图3所示，该电子设备700可以包括：处理器701，存储器702。该电子设备700还可以包括多媒体组件703，输入/输出(I/O)接口704，以及通信组件705中的一者或多者。
其中，处理器701用于控制该电子设备700的整体操作，以完成上述的电池热失控预警方法中的全部或部分步骤。存储器702用于存储各种类型的数据以支持在该电子设备700上的操作，这些数据例如可以包括用于在该电子设备700上操作的任何应用程序或方法的指令，以及应用程序相关的数据，例如联系人数据、收发的消息、图片、音频、视频等等。该存储器702可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，例如静态随机存取存储器(Static Random Access Memory，简称SRAM)，电可擦除可编程只读存储器(Electrically Erasable Programmable Read-Only Memory，简称EEPROM)，可擦除可编程只读存储器(Erasable Programmable Read-Only Memory，简称EPROM)，可编程只读存储器(Programmable Read-Only Memory，简称PROM)，只读存储器(Read-Only Memory，简称ROM)，磁存储器，快闪存储器，磁盘或光盘。多媒体组件703可以包括屏幕和音频组件。其中屏幕例如可以是触摸屏，音频组件用于输出和/或输入音频信号。例如，音频组件可以包括一个麦克风，麦克风用于接收外部音频信号。所接收的音频信号可以被进一步存储在存储器702或通过通信组件705发送。音频组件还包括至少一个扬声器，用于输出音频信号。I/O接口704为处理器701和其他接口模块之间提供接口，上述其他接口模块可以是键盘，鼠标，按钮等。这些按钮可以是虚拟按钮或者实体按钮。通信组件705用于该电子设备700与其他设备之间进行有线或无线通信。无线通信，例如Wi-Fi，蓝牙，近场通信(Near Field Communication，简称NFC)，2G、3G或4G，或它们中的一种或几种的组合，因此相应的该通信组件705可以包括：Wi-Fi模块，蓝牙模块，NFC模块。
在一示例性实施例中，电子设备700可以被一个或多个应用专用集成电路(Application Specific Integrated Circuit，简称ASIC)、数字信号处理器(Digital Signal Processor，简称DSP)、数字信号处理设备(Digital Signal Processing Device，简称DSPD)、可编程逻辑器件(Programmable Logic Device，简称PLD)、现场可编程门阵列(Field Programmable Gate Array，简称FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述的电池热失控预警方法。
在另一示例性实施例中，还提供了一种包括程序指令的计算机可读存储介质，该程 序指令被处理器执行时实现上述的电池热失控预警方法的步骤。例如，该计算机可读存储介质可以为上述包括程序指令的存储器702，上述程序指令可由电子设备700的处理器701执行以完成上述的电池热失控预警方法。
以上结合附图详细描述了本公开的优选实施方式，但是，本公开并不限于上述实施方式中的具体细节，在本公开的技术构思范围内，可以对本公开的技术方案进行多种简单变型，这些简单变型均属于本公开的保护范围。
另外需要说明的是，在上述具体实施方式中所描述的各个具体技术特征，在不矛盾的情况下，可以通过任何合适的方式进行组合。为了避免不必要的重复，本公开对各种可能的组合方式不再另行说明。
此外，本公开的各种不同的实施方式之间也可以进行任意组合，只要其不违背本公开的思想，其同样应当视为本公开所公开的内容。

Claims (10)

  1. 一种电池热失控预警方法，其特征在于，包括：
    获取布置在电池包内的各个温度传感器的当前温度数据、布置在所述电池包内的各个电压传感器的当前电压数据以及所述各个温度传感器的当前传感器断线数据；
    根据所述当前温度数据，统计当前时刻主级特征出现数量，其中所述主级特征包括所述温度传感器的温度异常特征，所述当前时刻主级特征出现数量指的是布置在所述电池包内的所有所述温度传感器在当前时刻出现的温度异常特征数量之和；
    在所述主级特征出现数量大于0的情况下，根据所述当前电压数据以及所述当前传感器断线数据，统计当前时刻次级特征出现数量，其中所述次级特征包括所述电压传感器的电压异常特征和所述温度传感器的传感器断线特征，所述当前时刻次级特征出现数量指的是布置在所述电池包内的所有所述温度传感器在当前时刻出现的传感器断线特征和所有所述电压传感器在当前时刻出现的电压异常特征之和；
    计算当前时刻下所述主级特征出现数量和所述次级特征出现数量的总和；
    在所述总和大于预设特征数阈值的情况下，进行电池热失控预警。
  2. 根据权利要求1所述的方法，其特征在于，所述当前温度数据包括当前温度和当前温升速率，则所述温度异常特征包括所述电池包内的所述温度传感器的当前温度超过预设温度阈值，和/或所述电池包内的所述温度传感器的当前温升速率超过预设温升速率阈值。
  3. 根据权利要求1或2所述的方法，其特征在于，所述电压异常特征包括所述电池包内的所述电压传感器断线、所述电池包内的所述电压传感器的当前电压大于预设上限电压、所述电池包内的所述电压传感器的当前电压小于预设下限电压。
  4. 根据权利要求1至3中任一权利要求所述的方法，其特征在于，所述方法还包括：在所述主级特征出现数量等于0的情况下，确定没有出现热失控。
  5. 一种电池热失控预警装置，其特征在于，包括：
    获取模块，用于获取布置在电池包内的各个温度传感器的当前温度数据、布置在所述电池包内的各个电压传感器的当前电压数据以及所述各个温度传感器的当前传感器断线数据；
    统计模块，用于根据所述当前温度数据，统计当前时刻主级特征出现数量，在所述主级特征出现数量大于0的情况下，根据所述当前电压数据以及所述当前传感器断线数据，统计当前时刻次级特征出现数量，其中所述主级特征包括所述温度传感器的温度异 常特征，所述当前时刻主级特征出现数量指的是布置在所述电池包内的所有所述温度传感器在当前时刻出现的温度异常特征数量之和，所述次级特征包括所述电压传感器的电压异常特征和所述温度传感器的传感器断线特征，所述当前时刻次级特征出现数量指的是布置在所述电池包内的所有所述温度传感器在当前时刻出现的传感器断线特征和所有所述电压传感器在当前时刻出现的电压异常特征之和；
    计算模块，用于计算当前时刻下所述主级特征出现数量和所述次级特征出现数量的总和；
    预警模块，用于在所述总和大于预设特征数阈值的情况下，进行电池热失控预警。
  6. 根据权利要求5所述的装置，其特征在于，所述当前温度数据包括当前温度和当前温升速率，则所述温度异常特征包括所述电池包内的所述温度传感器的当前温度超过预设温度阈值，和/或所述电池包内的所述温度传感器的当前温升速率超过预设温升速率阈值。
  7. 根据权利要求5或6所述的装置，其特征在于，所述电压异常特征包括所述电池包内的所述电压传感器断线、所述电池包内的所述电压传感器的当前电压大于预设上限电压、所述电池包内的所述电压传感器的当前电压小于预设下限电压。
  8. 根据权利要求5至7中任一权利要求所述的装置，其特征在于，所述预警模块还用于，在所述主级特征出现数量等于0的情况下确定没有出现热失控。
  9. 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，该程序被处理器执行时实现权利要求1-4中任一项所述方法的步骤。
  10. 一种电子设备，其特征在于，包括：
    存储器，其上存储有计算机程序；
    处理器，用于执行所述存储器中的所述计算机程序，以实现权利要求1-4中任一项所述方法的步骤。
PCT/CN2021/094162 2020-05-29 2021-05-17 电池热失控预警方法、装置、介质和设备 WO2021238706A1 (zh)

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