Wire bond contact defect identification in battery modules of electric vehicles using pulses and differential voltage analysis

IF 15 1区 工程技术 Q1 ENERGY & FUELS Etransportation Pub Date : 2023-10-01 DOI:10.1016/j.etran.2023.100284
Manuel Ank , Tobias Brehler , Markus Lienkamp
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Abstract

Automotive battery packs for electromobility applications consist of a large number of interconnected battery cells. Different cell-to-busbar joining techniques are utilized, with cylindrical cells frequently being contacted using wire bonding. Failure of individual connections can occur due to strong vibrations during operation and improper stress, making detection by the battery management system a necessity. This study investigates the identification of an electrical wire bond failure in a state-of-the-art electric vehicle module of a Lucid Air with 10 series-connected and 30 parallel-connected cells (10s30p). Four individual cells were characterized extensively in order to generate a simulation model taking into account parameter scatter. The failure case under investigation was simulatively incorporated in one parallel circuit and subsequently replicated in experimental validation measurements at the module level. The results show that this defect can be detected using pulses of C/3 or higher currents at various states of charge. An even more robust detection is achieved using differential voltage analysis of constant current C/20 discharge voltage trajectories. This defect identification method does not require any additional measurement sensors beyond the voltage taps and sensors provided by the manufacturer – with one voltage sensor per parallel circuit – and can therefore be implemented during electric vehicle usage, e.g. at dedicated service checks. A discussion on the applicability and scalability as well as the limitations of the method is provided. All measurement data of the state-of-the-art Lucid battery system is available as open source alongside the article.

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基于脉冲和差分电压分析的电动汽车电池模块线键接触缺陷识别
用于电动汽车应用的汽车电池组由大量相互连接的电池组成。采用不同的电池-母线连接技术,圆柱形电池经常使用导线连接。由于操作过程中的强烈振动和不适当的压力,单个连接可能会发生故障,因此必须由电池管理系统进行检测。本研究调查了具有10个串联和30个并联电池(10s30p)的最先进的Lucid Air电动汽车模块中电线连接故障的识别。为了得到考虑参数分散的仿真模型,对四个单独的细胞进行了广泛的表征。所研究的故障情况被模拟地纳入一个并联电路,随后在模块级的实验验证测量中复制。结果表明,在不同的电荷状态下,使用C/3或更高的电流脉冲可以检测到这种缺陷。使用恒流C/20放电电压轨迹的差分电压分析实现了更强大的检测。这种缺陷识别方法除了制造商提供的电压抽头和传感器外,不需要任何额外的测量传感器-每个并联电路一个电压传感器-因此可以在电动汽车使用期间实施,例如在专用服务检查中。讨论了该方法的适用性和可扩展性以及局限性。最先进的Lucid电池系统的所有测量数据都是开源的,随文章一起提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Etransportation
Etransportation Engineering-Automotive Engineering
CiteScore
19.80
自引率
12.60%
发文量
57
审稿时长
39 days
期刊介绍: eTransportation is a scholarly journal that aims to advance knowledge in the field of electric transportation. It focuses on all modes of transportation that utilize electricity as their primary source of energy, including electric vehicles, trains, ships, and aircraft. The journal covers all stages of research, development, and testing of new technologies, systems, and devices related to electrical transportation. The journal welcomes the use of simulation and analysis tools at the system, transport, or device level. Its primary emphasis is on the study of the electrical and electronic aspects of transportation systems. However, it also considers research on mechanical parts or subsystems of vehicles if there is a clear interaction with electrical or electronic equipment. Please note that this journal excludes other aspects such as sociological, political, regulatory, or environmental factors from its scope.
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