电动汽车电缆高压直流电弧失效模式、机理及影响分析*

Yibo Liu, J. Swingler, D. Flynn
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引用次数: 1

摘要

随着全球电动汽车(EV)的增加,电动汽车的可靠性、质量和性能变得越来越重要。电缆中的高压直流(HVDC)电弧事件可能导致电动汽车发生火灾。因此,本文对这一安全关键问题的失效模式、机理和影响分析(FMMEA)进行了研究。这些故障模式的开始可能是多因素的,因此我们创建了一个统计设计的实验来研究这些故障的演变和缓解。对实验室模型中采集的电弧特征进行解耦分析,并将其划分为时间子域。利用连续小波变换(CWT)捕获频率特征,最大限度地减少影响或错误信号。在Simulink中使用参考圆弧模型进行验证测试,对实验数据和仿真数据进行对比分析。通过加入保险丝来减少电弧已被证明可以提供足够的电路保护。我们的结果表明,我们的方法为电缆电弧分类和缓解提供了准确的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Failure Mode Mechanism and Effect Analysis of High Voltage DC Arcs in Electric Vehicle Cable*
With a global increase in electric vehicles (EV) the reliability, quality and performance of EVs is becoming increasingly important. High voltage direct current (HVDC) arc events in cables can lead to fires within EVs. Therefore, in this paper we investigate the failure modes mechanisms and effect analysis (FMMEA) of this safety critical issue. The onset of these failure modes can be multi-factorial so we created a statistical design of experiment to investigate the evolution and mitigation of these failures. Analysis of the arc characteristics collected in laboratory models has been decoupled and classified into time sub-domains. Utilising continuous wavelet transform (CWT) for capturing frequency features and minimizing the influence or erroneous signals. Verification testing was performed using a reference arc model in Simulink for comparative analysis of the experimental and simulated data. Mitigation of arcs via the incorporation of a fuse has been proven to provide sufficient circuit protection. Our results indicate that our methodology provides an accurate framework for cable arc classification and mitigation.
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