电池(电)
荷电状态
电动汽车
汽车工程
健康状况
汽车蓄电池
充电周期
牵引(地质)
工程类
模拟
计算机科学
电气工程
机械工程
功率(物理)
物理
量子力学
作者
A. Ndiaye,Ronan German,Alain Bouscayrol,Margot Gaetani-Liseo,Pascal Venet,Élodie Castex
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2024-01-19
卷期号:73 (4): 4578-4588
被引量:3
标识
DOI:10.1109/tvt.2024.3356116
摘要
This paper studies how the user charging practice affects battery degradation over time.To achieve this objective, a system oriented simplified aging model based on the literature is proposed.The differential calculation of the capacity loss is used for infinitesimal variations.The model inputs are the battery state of charge, the battery temperature and the cumulative number of full equivalent cycles.The output is the battery state of health.This model is identified and validated with experimental aging tests from the Renault Zoe 41kWh battery manufacturer.The battery model (electro-thermal and aging) interconnects with the vehicle traction model complete the system model.The battery electrothermal and traction models are also validated with measurements on the studied vehicle.The Energetic Macroscopic Representation (EMR) formalism organizes in a unified way the interconnections of all the sub-system models.The impact of the charging interval and SoC on the battery aging is then studied.Five charging scenarios are studied by simulation while keeping the driving phases and the charging current the same.In these conditions, the average SoC is the main contributor for the battery aging.Compared to daily charge of the EV, a charge every 4 days extends the time to reach 80% of state of health by 36 % due to lower average SoC.The daily driving distance is fixed for every studied scenario.
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