主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2025, Vol. 50 ›› Issue (1): 13-19.DOI: 10.16638/j.cnki.1671-7988.2025.001.003

• 新能源汽车 • 上一篇    

基于进化算法的锂离子电池充电策略优化

钟英群 1，刘晶 2，郑培*1   

  1. 1.内蒙古工业大学 能源与动力工程学院； 2.中国工商银行股份有限公司 业务研发中心
  • 发布日期:2025-01-09
  • 通讯作者: 郑培
  • 作者简介:钟英群（1997－），男，硕士，研究方向为动力电池安全快速充电策略，E-mail:2996961294@qq.com 通信作者：郑培（1964－），男，博士后，教授，研究方向为车辆动力域控制技术，E-mail:zhengpei@imut.edu.cn

Optimization of Lithium-ion Battery Charging Stategy Based on Evolutionary Algorithm

ZHONG Yingqun1 , LIU Jing2 , ZHENG Pei*1   

  1. 1.College of Energy and Power Engineering, Inner Mongolia University of Technology; 2.Bisomess Research and Development Center, Industrial and Commercial Bank of China
  • Published:2025-01-09
  • Contact: ZHENG Pei

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摘要： 为提高电池的性能，研究制定先进的充电策略至关重要。基于差分进化算法，文章提 出了一种综合考虑电池寿命和充电效率的多级恒流充电策略。首先，结合锂离子电池外特性 与内部机理，建立了电学模型、热学模型和寿命等耦合模型；其次，根据上述耦合模型参数， 进一步构造以使用寿命和充电速度为目标的优化方程；最后，采用差分进化算法确定各恒流 段的最优充电电流。制定满足消费者需求的安全快速充电策略，不仅有利于电动汽车的推广 与普及，而且能够为国家长久可持续发展做出贡献。

关键词: 锂离子电池；多级恒流充电；耦合模型；进化算法；优化方程

Abstract: To improve battery performance, it is critical to investigate specifying advanced charging strategies. Based on the differential evolution algorithm, a multi-stage constant current charging strategy considering battery life and charging efficiency is proposed. Firstly, combining the external characteristics and internal mechanism of lithium-ion batteries, the coupling model of electrical, thermal and life is established. Secondly, according to the above coupled model parameters, the optimization equation aiming at the service life and charging speed is further constructed. Finally, the differential evolution algorithm is used to determine the optimal charging current in each constant current segment. Developing a safe and fast charging strategy that meets consumer needs is not only conducive to the promotion and popularization of electric vehicles, but also contributes to the long-term sustainable development of the country.

Key words: lithium-ion battery; multistage constant current charging; coupling model; evolutionary algorithms; optimization equation