摘 要：提出一种基于BP神经网络的动力电池热失控快速预测方法，以解决当前无法有效对动力电池进行热失控预警的问题。通过测试发现，采用该方法对动力电池热失控进行预测，其准确度达到97%，可有效降低动力电池热失控发生的风险，提高车辆的安全性。
关键词：BP神经网络；动力电池；热失控；安全预警
文献标志码：A 文章编号：1006-3331（2024）05-0007-04 中图分类号：U461.99
Research on Thermal Runaway Forewarning Method of Power Battery Based on BP Neural Network
LI Dan,LIU Jihong,ZHOU Enfei,ZHANG Xiubin,ZHANG Qi,HUANG Jinjin
Abstract: This paper proposes a rapid prediction method for the thermal runaway of power batteries based on BP neural network, which solves the problem that the thermal runaway forewarning of power batteries cannot be effectively warned at present. Through the test,it is found that the methods accuracy in prediting the thermal runaway of the power battery is 97%,which can effectively reduce the risk of thermal runaway of power battery and improve vehicle safety.
Key words: BP neural network; power battery; thermal runaway; safety forewaming
