电动汽车电池组诊断:将差分电压和增量容量分析从电池级转移到车辆级

IF 15 1区 工程技术 Q1 ENERGY & FUELS
Philip Bilfinger, Philipp Rosner, Markus Schreiber, Thomas Kröger, Kareem Abo Gamra, Manuel Ank, Nikolaos Wassiliadis, Brian Dietermann, Markus Lienkamp
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引用次数: 0

摘要

锂离子电池芯的老化会降低电池电动汽车的续航能力、动力性能和转售价值。因此,学术界和工业界都对监测电池组健康状况的合适表征方法非常感兴趣,目前正在对此进行研究。在实验室条件下的电池层面,差分电压和增量容量分析是分析电池老化的成熟表征方法。本文在大众 ID.3 和特斯拉 Model 3 电动汽车上进行了实验,研究了从电池到车辆级别的差分电压和增量容量分析的可移植性。因此,在交流充电过程中对车辆进行了监控,以确保在现实生活中的适用性。总体而言,由于可以在车辆测量中检测到与老化相关的特征,因此可以从电池水平转移到车辆水平。因此,在这些车辆的使用时间内,锂库存损失被确定为容量损失的主要原因。这两种方法都有局限性,如数据质量限制或车辆的特定行为,但都适合作为诊断工具,用于评估车辆的健康状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Battery pack diagnostics for electric vehicles: Transfer of differential voltage and incremental capacity analysis from cell to vehicle level

Battery pack diagnostics for electric vehicles: Transfer of differential voltage and incremental capacity analysis from cell to vehicle level

Aging of lithium-ion battery cells reduces a battery electric vehicle’s achievable range, power capabilities and resale value. Therefore, suitable characterization methods for monitoring the battery pack’s state of health are of high interest to academia and industry and are subject to current research. On cell level under laboratory conditions, differential voltage and incremental capacity analysis are established characterization methods for analyzing battery aging. In this article, experiments are conducted on the battery electric vehicles Volkswagen ID.3 and Tesla Model 3, examining the transferability of differential voltage and incremental capacity analysis from cell to vehicle level. Hereby, the vehicles are monitored during AC charging, ensuring applicability in real-life scenarios. Overall, transferability from cell to vehicle level is given as aging-related characteristics can be detected in vehicle measurements. Hereby, loss of lithium inventory is identified as the primary cause for capacity loss in the usage time of these vehicles. Both methods have limitations, such as data quality restrictions or vehicle specific behavior, but are suitable as diagnostics tools that can enable a vehicle level state of health estimation.

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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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