The invention discloses a new energy automobile lithium battery thermal runaway monitoring system and method. The system comprises a vehicle-mounted lithium battery, a multi-source data acquisition module, a multi-source data fusion module, a hidden Markov model monitoring module, a state identification module, a data analysis processing module, an early warning module, an emergency processing module, a wireless communication module, a cloud platform and a battery management system. The multi-source data acquisition module is responsible for acquiring multi-dimensional data such as voltage, temperature and internal resistance of a lithium battery, and the data fusion module processes the data and then transmits the data to the hidden Markov model monitoring module for state monitoring and prediction. According to the system, a high-order hidden Markov model and a hidden semi-Markov model are adopted, state retention time modeling and a self-adaptive online learning mechanism are combined, and conversion of a battery from a normal state to an abnormal state and a thermal runaway state can be accurately recognized. The system remarkably improves the safety and stability of the lithium battery of the new energy automobile, and is suitable for power battery management of the new energy automobile.
本发明公开了一种新能源汽车锂电池热失控监控系统及方法,该系统包括车载锂电池、多源数据采集模块、多源数据融合模块、隐马尔可夫模型监控模块、状态识别模块、数据分析处理模块、预警模块、应急处理模块、无线通信模块、云平台和电池管理系统。多源数据采集模块负责采集锂电池的电压、温度、内阻等多维数据,数据融合模块对数据进行处理后传输至隐马尔可夫模型监控模块进行状态监控与预测。该系统采用高阶隐马尔可夫模型与隐半马尔可夫模型,结合状态停留时间建模和自适应在线学习机制,能够准确识别电池从正常状态到异常状态及热失控状态的转变。该系统显著提高了新能源汽车锂电池的安全性和稳定性,适用于新能源汽车的动力电池管理。
New energy automobile lithium battery thermal runaway monitoring system and method
一种新能源汽车锂电池热失控监控系统及方法
25.02.2025
Patent
Elektronische Ressource
Chinesisch
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