Scholarlink

This paper presents a sinusoidal ripple-current constant-voltage (SRC-CV) charging method that optimizes amplitude and duty cycle based on AC impedance analysis. By identifying the minimum impedance frequency, a battery equivalent circuit is built to minimize energy loss. A particle swarm optimization (PSO) algorithm is used to determine optimal charging parameters considering both time and loss. Experimental results show that, compared to the conventional constant-current constant-voltage (CC-CV) method, SRC-CV achieves similar efficiency while reducing the average temperature rise by 2.3% under a balanced weighting factor ( \(\alpha = 0.5\) ).

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Optimization of AC Charging Parameters for Lithium-Ion Batteries

  • 章节

  • 发表日期：

    2026年

查看全文
  • Yi-Feng Luo,
  • Chih-Han Ho,
  • Tzu-Chieh Lin,
  • Guan-Jhu Chen,
  • Chun-Liang Liu

摘要

This paper presents a sinusoidal ripple-current constant-voltage (SRC-CV) charging method that optimizes amplitude and duty cycle based on AC impedance analysis. By identifying the minimum impedance frequency, a battery equivalent circuit is built to minimize energy loss. A particle swarm optimization (PSO) algorithm is used to determine optimal charging parameters considering both time and loss. Experimental results show that, compared to the conventional constant-current constant-voltage (CC-CV) method, SRC-CV achieves similar efficiency while reducing the average temperature rise by 2.3% under a balanced weighting factor ( \(\alpha = 0.5\) ).