北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2022, Vol. 45 ›› Issue (5): 30-35.

• 论文 • 上一篇    下一篇

基于电动汽车行驶数据的动力电池放电性能评估

吕浙青 修佳鹏 杨正球 刘炎鑫   

  1. 北京邮电大学计算机学院(国家示范性软件学院)

  • 收稿日期:2021-10-28 修回日期:2021-12-28 出版日期:2022-10-28 发布日期:2022-11-01
  • 通讯作者: 修佳鹏 E-mail:xiujiapeng@bupt.edu.cn

An Evaluation of Power Battery Discharge Performance Based on Electric Vehicle Driving Data

LYU Zheqing,  XIU Jiapeng, YANG Zhengqiu,  LIU Yanxin   

  • Received:2021-10-28 Revised:2021-12-28 Online:2022-10-28 Published:2022-11-01
  • Contact: XIU Jiapeng E-mail:xiujiapeng@bupt.edu.cn

摘要: 随着动力电池在新能源汽车中的广泛应用,电池故障诊断退役电池评价等问题亟需解决,评估电池健康状态成为动力电池领域的重要课题在分析电动汽车行驶数据的基础上,提出了一种评估锂离子动力电池放电性能的模型该模型针对电池实际工作数据充放电较为随机的特点进行了调整和适配,解决了传统评估模型难以适用于实际使用场景的问题该模型具有低复杂度,能够快速给出评估结果,适用于大批量的电池评估实验表明,该模型提取的放电性能指标具有随累积行驶里程的增加而下降的趋势根据灰色关联分析,放电性能指标和电池容量随里程的变化具有相似趋势,能够从电池实际工作情况中评估出电池当前的放电能力,为更全面地评估电池健康状态提供参考

关键词: 动力电池, 行驶数据, 放电性能, 评估模型, 电池健康状态

Abstract: With the wide application of power batteries in new energy vehicles, problems such as battery failure diagnosis and retired battery evaluation have to be solved urgently. Evaluating the state-of-health is a significant topic in the power battery field. Based on the analysis of the driving data of electric vehicles,a model is proposed which can evaluate the discharge performance of lithium-ion power batteries. According to the randomness of charge-discharge data in battery work, the adjustment and adaptation are carried out in the proposed model to solve the problem that the traditional evaluation method is difficult to apply to the real scenario. Due to its low complexity, it can give the evaluation results quickly, which is suitable for mass battery evaluation. Experiments show that the discharge performance index extracted by the proposed model decreases as the cumulative mileage increases, which has a similar trend with the change of battery capacity with mileage according to the grey relational analysis. It can evaluate the current discharge capacity of the battery from the actual work circumstance, and provide a reference for evaluating the state-of-health comprehensively.

Key words: power battery, driving data, discharge performance, evaluation model, state of health

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