A Multi-objective Optimization Charging Strategy for Lithium Ion Battery Based on Lithium-plating Inhibited Model

Jiawei Liu, Changlong Li, N. Cui
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引用次数: 2

Abstract

With the popularization of electric vehicles, the problem of safe and fast charging of lithium ion batteries must be settled urgently. The existing fast charging minimize charge time, whereas battery health is out of consideration. Constantcurrent (CC) charging with large charge rate (C-rate) leads to irreversible damage to battery life, which reduces chargedischarge cycles and increases cost. In this study, a multi-stage constant-current charging strategy considering charge speed, charge loss and the safety of battery is proposed, which is based on lithium-plating inhibited (LPI) model and optimized by particle swarm optimization (PSO) algorithm. Compared with traditional CC charging methods at different C-rate, the results show that this approach can charge the battery quickly without lithium-plating, which holds promising for longer battery life.
基于锂电镀抑制模型的锂离子电池多目标优化充电策略
随着电动汽车的普及,锂离子电池的安全快速充电问题亟待解决。现有的快速充电技术最大限度地缩短了充电时间,但没有考虑到电池的健康状况。大充电速率(C-rate)下的恒流(CC)充电会对电池寿命造成不可逆的损害,减少充放电周期,增加成本。本研究提出了一种基于锂电镀抑制(LPI)模型,采用粒子群优化(PSO)算法优化的考虑充电速度、电荷损失和电池安全性的多级恒流充电策略。结果表明,该方法与传统CC充电方法在不同c -倍率下进行快速充电,无需镀锂,有望延长电池寿命。
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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