淡出
电池(电)
变量(数学)
恒流
常量(计算机编程)
内阻
统计的
功率(物理)
使用寿命
控制理论(社会学)
计算机科学
材料科学
环境科学
电流(流体)
数学
工程类
统计
电气工程
热力学
复合材料
数学分析
物理
控制(管理)
人工智能
程序设计语言
操作系统
作者
Yunhong Che,Daniel-Ioan Stroe,Xin Sui,Sϕren Byg Vilsen,Xiaosong Hu,Remus Teodorescu
标识
DOI:10.1109/apec43580.2023.10131534
摘要
Studying and analyzing battery aging behavior is crucial in battery health prognostic and management. This paper conducts novel and comprehensive experiments to evaluate battery aging under variable external stresses, including different dynamic load profiles and variable environmental temperatures. Respond analysis in the time and frequency domain is performed to account for the different aging rates under different current loadings, where the statistic calculation and fast Fourier transform are used for the analysis. The empirical model is used to fit the fade curve for the comparisons between constant and variable temperatures. The capacity decrease and internal resistance increase are extracted to evaluate capacity and power fade, respectively. The experimental results show that the urban dynamic operating conditions help to prolong the service life compared to the constant current aging case. In contrast, the aging under the highway profile accelerates the aging process. Although the average temperature is the same as under constant temperature conditions, variable temperature conditions accelerate battery aging.
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