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首页> 外文会议>2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies >EV battery SOH diagnosis method based on discrete Fr??chet distance
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EV battery SOH diagnosis method based on discrete Fr??chet distance

机译：基于离散Fr ?? chet距离的电动汽车SOH诊断方法

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摘要

The power battery of electric vehicle may be limited by battery safety issues and power problems. The key points of this paper are firstly it combines discrete Fréchet distance method with discharge curve identification method, and then it proposes a kind of new state of health diagnose method base on line testing platform. Through the CAN communication module, the system could control the power battery to finish on line full charge and discharge test. And also the system could get the actual operational status data to build life cycle databases of electric vehicle, which can predict the state of health diagnose. The results of the SOH could guide power battery safety assessment and balance maintain. Through analyzing simulation results between the SOH diagnose results with returned test data results, qualitative indicates the decline of EV battery.
机译：电动车辆的动力电池可能受到电池安全问题和动力问题的限制。本文的重点是：首先将离散的Frechet距离法与流量曲线识别法相结合，然后提出一种基于在线测试平台的健康状态诊断新方法。通过CAN通信模块，系统可以控制动力电池完成在线完全充电和放电测试。该系统还可以获得实际的运行状态数据，以建立电动汽车的生命周期数据库，从而可以预测健康状况。 SOH的结果可指导动力电池安全性评估和保持平衡。通过分析SOH诊断结果与返回的测试数据结果之间的仿真结果，定性表明EV电池的数量下降。

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