电池(电)
电动汽车
汽车工程
电池组
计算机科学
可转让性
练习场
电压
电池容量
健康状况
可靠性工程
航程(航空)
电动汽车蓄电池
模拟
功率(物理)
电气工程
工程类
物理
量子力学
航空航天工程
罗伊特
机器学习
作者
Philip Bilfinger,P. Rosner,Markus Schreiber,Thomas Kröger,Kareem Abo Gamra,Manuel Ank,Nikolaos Wassiliadis,Brian Dietermann,Markus Lienkamp
标识
DOI:10.1016/j.etran.2024.100356
摘要
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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