电气技术  2018, Vol. 19 Issue (12): 18-24    DOI:
研究与开发 |
基于改进阈值比较法的电动汽车电池故障在线诊断方法
陈如尹1, 赖松林1, 杨志2
1. 福州大学物理与信息工程学院,福州 350108;
2. 福建赛智新能源科技有限公司,福州 350025
On-board diagnosis approach for battery of electric vehicle based on improved threshold comparison method
Chen Ruyin1, Lai Songlin1, Yang Zhi2
1. College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108;
2. Beyond Intelligence Corporatin, Fuzhou 350025
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摘要 电动汽车稳定运行的关键在于动力电池高效安全的运行管理,其中对电池故障的在线检测和诊断是电池管理系统中的重要内容。本文通过对传统的带有延迟时间的阈值比较法进行改进,提出了一种可根据电池状态自适应变参的动力电池故障在线诊断方法。该方法在对动力电池状态实时监测的基础上,通过对故障程度的分析实时改变诊断故障用的阈值和延迟时间,可实现对严重故障的快速响应和诊断,并能有效滤除参数采样过程中可能出现的异常脉冲和针尖毛刺数据的影响,提高了对电池故障诊断的及时性和可靠性。在电池充放电过程中模拟各类电池故障的结果表明,本方法可根据故障程度实现对故障响应动作的控制,使动力电池安全故障的诊断更具合理性,可应用于当前实际的电池管理系统之中。
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关键词 电动汽车动力电池在线故障诊断阈值比较参数可变    
Abstract:In order to ensure efficient and safe operation of electric vehicle battery, on-board detection and diagnosis of battery faults has become one of significant parts of the BMS. In this paper, an on-board diagnosis approach based on the battery state is proposed by improving the traditional threshold comparison method. Through the real-time monitoring of power battery status, the threshold of faults and delay time can be adjusted according to the analysis of the fault degree by this approach. It can realize that response and diagnose to serious faults rapidly. And the influence of abnormal pulse and needle burr data which may occur during parameter sampling can be filtered effectively. Through the charge and discharge process test, the result shows that the response can be controlled according to the degree of fault and the rationality of on-board diagnosis is improved by this approach, which can be applied to the actual BMS.
Key wordspower battery of electric vehicle    on-board diagnosis    threshold comparison    variable parameters   
收稿日期: 2018-05-15      出版日期: 2018-12-18
作者简介: 陈如尹(1992-),男,福建省南平市建阳区人,硕士研究生,主要从事电动汽车动力电池嵌入式管理系统方面研究工作。
引用本文:   
陈如尹, 赖松林, 杨志. 基于改进阈值比较法的电动汽车电池故障在线诊断方法[J]. 电气技术, 2018, 19(12): 18-24. Chen Ruyin, Lai Songlin, Yang Zhi. On-board diagnosis approach for battery of electric vehicle based on improved threshold comparison method. Electrical Engineering, 2018, 19(12): 18-24.
链接本文:  
https://dqjs.cesmedia.cn/CN/Y2018/V19/I12/18