Energy Storage Science and Technology

   

A kind of intelligent PID double-layer active balancing control method for lithium-ion battery pack

Xiaolan WU1(), Pengjie MA1, Zhifeng BAI1(), Chenglong LIU1, Guifang Guo2, Jinhua ZHANG1   

  1. 1.School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi, China
    2.School of Information Engineering, Xizang Minzu University, Xianyang 712082, Shaanxi, China
  • Received:2024-09-09 Revised:2024-10-27
  • Contact: Zhifeng BAI E-mail:wuxiaolan@xauat.edu.cn;zhifeng.bai@xauat.edu.cn

Abstract:

In order to solve the problem that the performance and life of the battery pack will be significantly reduced due to the inconsistency of the state of charge of the single battery, this paper proposes a double-layer active balancing control method for lithium-ion battery pack based on intelligent PID control. In this method, a double-layer equalization topology is proposed, in which a Buck-Boost circuit with good scalability is used in the group, and a flyback transformer with high equalization efficiency is used between the groups. On this basis, a PID controller optimized by Bayesian algorithm is proposed to control the output variable duty cycle and then control the balancing current to achieve intra-pack and inter-group balancing. The simulation results show that compared with the traditional equalization based on the Buck-Boost circuit, the equalization time in static mode and charging mode is reduced by 503 seconds and 515 seconds, respectively, and the equalization efficiency is increased by 65.7% and 66.5%, respectively, and the energy transfer efficiency is increased by 4.4% in static mode compared with the traditional equalization based on Buck-Boost circuit. The experimental results show that under the condition that the equalization current is less than 1.5A, the equalization method proposed in this paper achieves equalization at 1110 seconds, which is shortened by 616 seconds compared with the fuzzy PID algorithm, which proves the advancement of the proposed equalization control method.

Key words: Lithium-ion batteries, PID control, Bayesian optimization, Double-layer equalization topology, Buck-Boost circuit

CLC Number: