基于粒子群优化算法的锂电池模型参数辨识

Parameter Identification of Batter Model Based on the Particle Swarm Optimization

基于戴维南电池模型,采用粒子群优化算法进行离线参数辨识。粒子群优化算法作为一种高效并且简单的算法,在平衡全局优化能力和局部优化能力方面具有显著的优势。

Based on Thevenin equivalent circuit model,Particle Swarm Optimization(PSO)is adopted to identify model parameters off-line.As an efficient and simple algorithm,PSO has significant advantages in balancing global optimization ability and local optimization ability.