基于离散Fréchet距离的电动汽车电池健康状态诊断方法

摘要

针对动力电池在电动汽车运行过程中的安全性和动力性问题，将离散Fréchet距离法与电池充放电曲线辨识相结合，提出了基于在线检测平台的电池健康度(State of Health, SOH)诊断方法。通过CAN通信模块，系统直接控制车载电池完成在线满充放试验，获取实际运行状态数据。并建立电动汽车服役全周期信息数据库，进行健康度诊断预测，来指导动力电池的安全评估和均衡维护。通过算例试验分析，将诊断结果与退运后的检测数据做比较，验证了该方法的正确性和准确性。%For EV battery safety andpower performanceduringrunning, this paper combines discrete Fréchet distance methodand identification of battery charge-discharge curveto propose a diagnostic methodof batterySOH based on online test platform. Systemcancontrol directly EV battery tocomplete the full charge-discharge test online by CAN communication module, and get the actual operational status data.EV service full cycle information databasesare established to forecast the diagnosis of healthdegree,which can guide power battery safety assessment and balanced maintenance. By analyzing the cases of test calculation,thecorrectness and accuracy of the method is verified after comparing diagnosisresultand test data of switching off.