Cycle-life curves determination and modelling of commercially available electric vehicle batteries

被引:0
|
作者
Saldaña G. [1 ]
San Martín J.I. [2 ]
Asensio F.J. [2 ]
Zamora I. [3 ]
Oñederra O. [3 ]
González-Pérez M. [2 ]
Oleagordía I.J. [4 ]
机构
[1] Department of Systems and Automatic Engineering Engineering School of Bilbao, University of the Basque Country, Pza. Ingeniero Torres Quevedo, 1, Bilbao
[2] Department of Electrical Engineering Engineering School of Gipuzkoa, University of the Basque Country, Avda. Otaola, 29, Eibar
[3] Department of Electrical Engineering Engineering School of Bilbao, University of the Basque Country, Pza. Ingeniero Torres Quevedo, 1, Bilbao
[4] Department of Electronic Technology Engineering School of Bilbao, University of the Basque Country, Pza. Ingeniero Torres Quevedo, 1, Bilbao
来源
Renewable Energy and Power Quality Journal | 2021年 / 19卷
关键词
Battery; Degradation; Electric vehicle; Li-Ion-NMC; Model;
D O I
10.24084/repqj19.278
中图分类号
学科分类号
摘要
In recent decades, there has been a growing concern about the trend of global emissions, and in particular those of the transport sector. In this context, the electric vehicle is a promising technology, with some barriers still to be overcome. Among these deficiencies everything related to storage technology is found. In this sense, lithium-ion batteries are one of the options to be considered, although it is necessary to continuously monitor the state of health. Cycle life vs DoD curves are very useful for characterizing profitability in any application that considers battery storage, as well as life cycle optimization studies. Cycle life refers to the number of charge-discharge cycles that a battery can provide before performance decreases to an extent that it cannot perform the required functions (e.g., 80% compared to a fresh one in electromobility applications). In this paper, a model for calculating the Cycle Life vs DoD curves is proposed, applied to a commercially available electric vehicle, the Renault Zoe. Modelling results show R squared coefficient of determinations above 0.9890. © 2021, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.
引用
收藏
页码:287 / 292
页数:5
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