Research on Parameter Identification Method of Lithium-ion Battery Model Based on Particle Swarm Optimization Algorithm

Abstract

Aiming at the problem of parameter selection and optimization of the mathematical model of lithium-ion battery, a method of using the particle swarm optimization (PSO) algorithm to optimize the parameters identification is proposed. The experimental results show that the algorithm has small average error and less time elapse, and the parameterization ability of the optimized parameters is improved. The speed and accuracy of the parameters of the battery model are improved, which solves the problem that the manual calibration is time-consuming and difficult to guarantee accuracy.