阳极
电池(电)
电极
控制器(灌溉)
电化学
锂离子电池
等效电路
阴极
荷电状态
电压
材料科学
控制理论(社会学)
计算机科学
电气工程
化学
工程类
物理
功率(物理)
农学
控制(管理)
人工智能
物理化学
生物
量子力学
作者
Yufang Lu,Xiao Han,Zhengyu Chu,Xuning Feng,Yudi Qin,Minggao Ouyang,Languang Lu
标识
DOI:10.1016/j.jpowsour.2021.230529
摘要
The anode potential inside the lithium-ion battery is crucial for battery internal state observation in electric vehicles since it indicates the states of lithium deposition at the anode surface. Conventional equivalent circuit models (ECMs) used in the battery management system (BMS) can only predict limited battery external characteristics. Electrochemical models which can simulate the battery internal behaviors are too complex for onboard applications. In this paper, a novel decomposed electrode model (DEM) is proposed for real-time anode potential observation in real BMSs. The cathode and anode parameters can be calibrated by inserting a reference electrode inside the battery. The decomposed electrode model shows high accuracy in predicting the cell terminal voltage and the anode potential under various current conditions. This model also has predominance considering both model simplicity and computational efficiency. An online anode potential observation algorithm is developed based on the DEM and the extended Kalman filter. A lithium plating-free fast charging algorithm is formulated further by integrating the closed-loop potential observer and the closed-loop current controller. The result indicates that the proposed decomposed electrode model is suitable for online applications in the BMS.
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