基于离散Fréchet距离的电动汽车电池健康状态诊断方法.PDF

第44 卷 第 12 期 电力系统保护与控制 Vol.44 No.12 2016 年 6 月 16 日 Power System Protection and Control Jun. 16, 2016 DOI: 10.7667/PSPC151245 基于离散 Fréchet 距离的电动汽车电池健康状态诊断方法 焦东升，王海云，朱 洁，迟忠君，曾 爽 (国网北京市电力公司, 北京 100075) 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。 关键词：电动汽车；动力电池；健康状态；离散 Fréchet 距离；曲线相似性 EV battery SOH diagnosis method based on discrete Fréchet distance JIAO Dongsheng, WANG Haiyun, ZHU Jie, CHI Zhongjun, ZENG Shuang (State Grid Beijing Electric Power Company, Beijing 100075, China) Abstract: For EV battery safety and power performance during running, this paper combines discrete Fréchet distance method and identification of battery charge-discharge curve to propose a diagnostic method of battery SOH based on online test platform. System can control directly EV battery to complete the full charge-discharge test online by CAN communication module, and get the actual operational status data. EV service full cycle information databases are established to forecast the diagnosis of health degree, which can guide power battery safety assessment and balanced maintenance. By analyzing the cases of test calculation, the correctness and accuracy of the method is verified after comparing diagnosis result and test data of switching off. Key words: electric vehicle; EV battery; state