电池(电)
模型预测控制
锂(药物)
恒流
涓流充电
阳极
汽车工程
航程(航空)
锂离子电池
瞬态(计算机编程)
电压
功率(物理)
充电周期
降级(电信)
电动汽车
工作(物理)
荷电状态
控制(管理)
工程类
物理
电气工程
计算机科学
电极
机械工程
化学
医学
人工智能
量子力学
物理化学
航空航天工程
内分泌学
操作系统
作者
Boru Zhou,Guodong Fan,Yansong Wang,Yi‐Sheng Liu,Shun Chen,Ziqiang Sun,Chengwen Meng,Jufeng Yang,Xi Zhang
出处
期刊:Applied Energy
[Elsevier]
日期:2024-03-01
卷期号:361: 122918-122918
被引量:1
标识
DOI:10.1016/j.apenergy.2024.122918
摘要
Recently, battery fast charging strategies have gained increasing interest as range anxiety and long charging time have been the main obstacles to the wider application of electric vehicles. While simply increasing the current can reduce charging time, it might also tend to accelerate the irreversible capacity degradation and power fade. To solve the dilemma between charging speed and battery lifetime, in this work, we proposed a life-extending optimal charging method that considers the charging time and the aging-related effects within the battery. A multi-physics battery model coupled with thermal and electrochemical degradation dynamics is developed and integrated into a model predictive control framework to manipulate the optimal charging current considering the constraints of safe requirements and the rate of internal aging side reactions. The design method was extensively validated by in-situ and ex-situ experiments. Results show that by reducing the rates of side reactions and minimizing detrimental morphological changes in the anode material, the proposed charging method can prolong the battery lifetime by at least 48.6%, compared with the commonly used constant current and constant voltage charging method without obviously sacrificing charging speed.
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