An Aging-Optimized State-of-Charge-Controlled Multi-Stage Constant Current (MCC) Fast Charging Algorithm for Commercial Li-Ion Battery Based on Three-Electrode Measurements

Batteries Pub Date : 2024-07-26 DOI:10.3390/batteries10080267

Alexis Kalk, Lea Leuthner, Christian Kupper, Marc Hiller

引用次数: 0

Abstract

This paper proposes a method that leads to a highly accurate state-of-charge dependent multi-stage constant current (MCC) charging algorithm for electric bicycle batteries to reduce the charging time without accelerating aging by avoiding Li-plating. First, the relation between the current rate, state-of-charge, and Li-plating is experimentally analyzed with the help of three-electrode measurements. Therefore, a SOC-dependent charging algorithm is proposed. Secondly, a SOC estimation algorithm based on an Extended Kalman Filter is developed in MATLAB/Simulink to conduct high accuracy SOC estimations and control precisely the charging algorithm. The results of the experiments showed that the Root Mean Square Error (RMSE) of SOC estimation is 1.08%, and the charging time from 0% to 80% SOC is reduced by 30%.

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基于三电极测量的商用锂离子电池老化优化充电状态控制多级恒流 (MCC) 快速充电算法

本文提出了一种针对电动自行车电池的高精度充电状态相关多级恒流（MCC）充电算法，通过避免锂镀层来缩短充电时间，同时不加速老化。首先，在三电极测量的帮助下，对电流率、充电状态和锂镀层之间的关系进行了实验分析。因此，提出了一种取决于 SOC 的充电算法。其次，在 MATLAB/Simulink 中开发了基于扩展卡尔曼滤波器的 SOC 估算算法，以进行高精度的 SOC 估算并精确控制充电算法。实验结果表明，SOC 估计的均方根误差（RMSE）为 1.08%，从 0% SOC 到 80% SOC 的充电时间缩短了 30%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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