CN-120708751-B - Power automobile battery pack disassembling system and method based on thermal runaway early warning

CN120708751BCN 120708751 BCN120708751 BCN 120708751BCN-120708751-B

Abstract

The invention relates to the technical field of battery packs, and particularly discloses a power automobile battery pack disassembling system and a disassembling method based on thermal runaway early warning, which utilize a temperature field to locate a high-temperature region, combine a visual recognition body surface bulge deformation slope and CO concentration and pressure parameters acquired by a pre-embedded sensor, adopt gridding segmentation to quantify the thermal runaway risk, extract CO concentration high-frequency characteristics through wavelet pack decomposition, calculate a pressure mutation gradient through Kalman filtering to generate a gas dynamic mutation coefficient, the normalized fusion temperature, deformation, gas and pressure parameters form a comprehensive early warning coefficient, a low risk area is disassembled preferentially based on the modularized layout, a disassembly forbidden path is marked in a high temperature area, and a dynamic disassembly strategy is formed, so that the defects of artificial experience dependence, risk identification hysteresis and fixed flow rigidness in the traditional disassembly can be effectively overcome, the accurate early warning of thermal runaway risk and the optimization of the disassembly path are realized, and the safety and the efficiency of disassembly of the battery pack of the power automobile are remarkably improved.

Inventors

CHEN CHUNFEI
LI KUAN
HUANG LIPING

Assignees

杭州固恒能源科技有限公司

Dates

Publication Date: 20260508
Application Date: 20250616

Claims (9)

1. The power automobile battery pack disassembling method based on the thermal runaway early warning is characterized by comprising the following steps of: Acquiring battery pack surface temperature field distribution data in a power automobile battery pack disassembly process, and acquiring local battery pack information according to the battery pack surface temperature field distribution data; Acquiring local monitoring data of the battery pack according to the local information of the battery pack, wherein the local monitoring data comprises surface characteristic data of the battery pack and internal characteristic data of the battery pack; acquiring a plurality of body surface change rates according to the body surface characteristic data of the battery pack, and acquiring a thermal runaway risk coefficient of the battery pack according to the plurality of body surface change rates, wherein the thermal runaway risk coefficient comprises the following steps: acquiring local area according to the local information of the battery pack, and performing gridding segmentation on the local area according to a preset area to obtain a plurality of grid points; acquiring a plurality of initial coordinates corresponding to the grid points; acquiring a plurality of change coordinates of the battery surface within a preset working time according to the surface characteristic data of the battery pack; Obtaining a plurality of deformation slopes between the initial coordinates and the change coordinates according to the initial coordinates and the change coordinates, and taking the deformation slopes as body surface change rates; Acquiring body surface change coefficients according to a plurality of body surface change rates and preset working time, and taking the body surface change coefficients as thermal runaway risk coefficients of the battery pack; acquiring gas concentration data and internal pressure change rate according to the internal characteristic data of the battery pack, and acquiring a gas mutation coefficient of the battery pack according to the gas concentration data and the internal pressure change rate; Acquiring an early warning reminding coefficient according to the thermal runaway risk coefficient of the battery pack and the gas mutation coefficient of the battery pack; and disassembling the battery pack of the power automobile according to the early warning reminding coefficient to obtain a disassembling result.
2. The method for disassembling a battery pack of a power vehicle based on thermal runaway warning according to claim 1, wherein the step of acquiring the local information of the battery pack according to the surface temperature field distribution data of the battery pack comprises the steps of: Acquiring an infrared temperature initial distribution image of the surface of a battery pack; Acquiring a temperature extension direction and single cell package chain reaction information according to the surface temperature field distribution data of the battery package, and acquiring a temperature change rate according to the single cell package chain reaction information; Dividing the infrared temperature initial distribution image according to the temperature extending direction and the temperature change rate to obtain a plurality of temperature influence areas; acquiring a plurality of corresponding region temperatures according to the plurality of temperature influence regions; Sequentially judging whether the temperatures of a plurality of areas exceed a preset threshold value; And if the region temperature exceeds the preset threshold, taking the temperature influence region corresponding to the region temperature as the local information of the battery pack.
3. The method for disassembling a battery pack for a power vehicle based on thermal runaway warning according to claim 1, wherein the step of acquiring a battery pack gas mutation coefficient from the gas concentration data and the internal pressure change rate comprises: performing wavelet packet decomposition on the gas concentration data to obtain a plurality of concentration fluctuation characteristics of different frequency bands; carrying out Kalman filtering treatment on the internal pressure change rate to obtain a pressure abrupt gradient; And acquiring a gas mutation coefficient of the battery pack according to the pressure mutation gradient and the concentration fluctuation characteristics.
4. The method for disassembling a battery pack of a power vehicle based on thermal runaway warning according to claim 1, wherein the step of obtaining the warning reminding coefficient according to the battery pack thermal runaway risk coefficient and the battery pack gas mutation coefficient comprises the following steps: normalizing the thermal runaway risk coefficient of the battery pack to obtain a normalized value of the thermal runaway risk coefficient of the battery pack; Normalizing the battery pack gas mutation coefficient to obtain a battery pack gas mutation coefficient normalized value; And carrying out weighted calculation on the normalized value of the thermal runaway risk coefficient of the battery pack and the normalized value of the gas mutation coefficient of the battery pack to obtain an early warning reminding coefficient.
5. The method for disassembling the battery pack of the power automobile based on the thermal runaway warning according to claim 1, wherein the step of disassembling the battery pack of the power automobile according to the warning reminding coefficient to obtain a disassembling result comprises the following steps: Judging the relation between the early warning reminding coefficient and a preset early warning reminding threshold interval; if the early warning reminding coefficient is not in a preset early warning reminding threshold interval and is larger than the maximum value of the preset early warning reminding threshold interval, judging that the local information of the battery pack is in a high-risk state, and generating first early warning reminding information; if the early warning reminding coefficient is in a preset early warning reminding threshold interval, judging that the local information of the battery pack is in a medium-dangerous state, and generating second early warning reminding information; If the early warning reminding coefficient is not in the preset early warning reminding threshold interval and is smaller than the minimum value of the preset early warning reminding threshold interval, judging that the local information of the battery pack is in a low-risk state, and generating third early warning reminding information; acquiring a battery pack disassembling path of the power automobile; marking the power automobile battery pack dismantling path according to the first early warning reminding information, the second early warning reminding information and the third early warning reminding information to obtain a marked dismantling path; And disassembling the battery pack of the power automobile according to the mark disassembling path.
6. Power car battery package disassembles system based on thermal runaway early warning, characterized by comprising: the first acquisition module is used for acquiring the surface temperature field distribution data of the battery pack in the disassembly process of the battery pack of the power automobile and acquiring the local information of the battery pack according to the surface temperature field distribution data of the battery pack; The second acquisition module is used for acquiring local monitoring data of the battery pack according to the local information of the battery pack, wherein the local monitoring data comprise surface characteristic data of the battery pack and internal characteristic data of the battery pack; The third obtaining module is configured to obtain a plurality of body surface change rates according to the body surface feature data of the battery pack, and obtain a thermal runaway risk coefficient of the battery pack according to the plurality of body surface change rates, and includes: acquiring local area according to the local information of the battery pack, and performing gridding segmentation on the local area according to a preset area to obtain a plurality of grid points; acquiring a plurality of initial coordinates corresponding to the grid points; acquiring a plurality of change coordinates of the battery surface within a preset working time according to the surface characteristic data of the battery pack; Obtaining a plurality of deformation slopes between the initial coordinates and the change coordinates according to the initial coordinates and the change coordinates, and taking the deformation slopes as body surface change rates; Acquiring body surface change coefficients according to a plurality of body surface change rates and preset working time, and taking the body surface change coefficients as thermal runaway risk coefficients of the battery pack; The fourth acquisition module is used for acquiring gas concentration data and internal pressure change rate according to the internal characteristic data of the battery pack, and acquiring a battery pack gas mutation coefficient according to the gas concentration data and the internal pressure change rate; the fifth acquisition module is used for acquiring an early warning reminding coefficient according to the battery pack thermal runaway risk coefficient and the battery pack gas mutation coefficient; and the disassembly module is used for disassembling the battery pack of the power automobile according to the early warning reminding coefficient to obtain a disassembly result.
7. The power car battery pack disassembly system based on thermal runaway warning of claim 6, wherein the first acquisition module comprises: The first acquisition unit is used for acquiring an infrared temperature initial distribution image of the surface of the battery pack; The second acquisition unit is used for acquiring the temperature extension direction and the single cell package chain reaction information according to the temperature field distribution data of the surface of the battery package and acquiring the temperature change rate according to the single cell package chain reaction information; the segmentation unit is used for segmenting the infrared temperature initial distribution image according to the temperature extending direction and the temperature change rate to obtain a plurality of temperature influence areas; A third obtaining unit, configured to obtain a plurality of corresponding region temperatures according to a plurality of the temperature influence regions; the judging unit is used for judging whether the temperatures of a plurality of areas exceed a preset threshold value or not in sequence; And if the region temperature exceeds the preset threshold, taking the temperature influence region corresponding to the region temperature as the local information of the battery pack.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.

Description

Power automobile battery pack disassembling system and method based on thermal runaway early warning Technical Field The invention relates to the technical field of battery packs, in particular to a power automobile battery pack disassembling system and method based on thermal runaway early warning. Background Along with the popularization of new energy automobiles, the safety and recovery efficiency of a power battery pack become important points in industry, and at present, the power battery pack needs to be disassembled after retirement or failure to recover valuable materials, but combustion or explosion is easily caused by thermal runaway in the battery in the disassembly process, so that serious potential safety hazards are caused; In the existing disassembly process, the operators need to closely contact the battery pack according to manual experience, but risks such as combustion, toxic gas release and the like caused by thermal runaway are difficult to avoid, for example, in the disassembly process, if a part of the battery is short-circuited and suddenly heated, people cannot quickly identify and withdraw, personal injury is easily caused, and a power automobile battery pack disassembly method based on thermal runaway early warning is needed to solve the problems. Disclosure of Invention The invention aims to provide a power automobile battery pack disassembling system and a disassembling method based on thermal runaway early warning so as to solve the technical problems in the background art. In order to achieve the above purpose, the present invention provides the following technical solutions: a power automobile battery pack disassembling method based on thermal runaway early warning comprises the following steps: Acquiring battery surface temperature field distribution data in a power automobile battery pack disassembling process, and acquiring local information of a battery pack according to the battery pack surface temperature field distribution data; Acquiring local monitoring data of the battery pack according to the local information of the battery pack, wherein the local monitoring data comprises surface characteristic data of the battery pack and internal characteristic data of the battery pack; acquiring a plurality of body surface change rates according to the body surface characteristic data of the battery pack, and acquiring a thermal runaway risk coefficient of the battery pack according to the body surface change rates; acquiring gas concentration data and internal pressure change rate according to the internal characteristic data of the battery pack, and acquiring a gas mutation coefficient of the battery pack according to the gas concentration data and the internal pressure change rate; Acquiring an early warning reminding coefficient according to the thermal runaway risk coefficient of the battery pack and the gas mutation coefficient of the battery pack; and disassembling the battery pack of the power automobile according to the early warning reminding coefficient to obtain a disassembling result. Preferably, the step of acquiring local information of the battery pack according to the surface temperature field distribution data of the battery pack comprises the following steps: Acquiring an infrared temperature initial distribution image of the surface of a battery pack; Acquiring a temperature extending direction and a temperature change rate according to the surface temperature field distribution data of the battery pack; Dividing the infrared temperature initial distribution image according to the temperature extending direction and the temperature change rate to obtain a plurality of temperature influence areas; acquiring a plurality of corresponding region temperatures according to the plurality of temperature influence regions; Sequentially judging whether the temperatures of a plurality of areas exceed a preset threshold value; And if the region temperature exceeds the preset threshold, taking the temperature influence region corresponding to the region temperature as the local information of the battery pack. Preferably, the step of obtaining a plurality of body surface change rates according to the body surface feature data of the battery pack and obtaining a thermal runaway risk coefficient of the battery pack according to the plurality of body surface change rates comprises the following steps: acquiring local area according to the local information of the battery pack, and performing gridding segmentation on the local area according to a preset area to obtain a plurality of grid points; acquiring a plurality of initial coordinates corresponding to the grid points; acquiring a plurality of change coordinates of the battery surface within a preset working time according to the surface characteristic data of the battery pack; Obtaining a plurality of deformation slopes between the initial coordinates and the change coordinates according to the initial coordinates and