Energy Storage Science and Technology ›› 2020, Vol. 9 ›› Issue (3): 969-978.doi: 10.19799/j.cnki.2095-4239.2019.0273

Previous Articles     Next Articles

Parameter identification based on simplified electrochemical model of lithium ion battery

KANG Xin(), SHI Wei, CHEN Hongtao   

  1. Beijing Jiaotong University, Beijing 100044, China
  • Received:2019-12-02 Revised:2019-12-30 Online:2020-05-05 Published:2020-05-11

Abstract:

This paper aims to identify the parameters of a simplified electrochemical model. Firstly, the three-parameter partial differential equations of solid lithium-ion diffusion are simplified to ordinary differential equations. This simplification of the ordinary differential equations is based on the single-particle model and considers the concentration in liquid phase, liquid-phase electric potential, and the impedance of the solid electrolyte interface film caused by the potential impact on the terminal voltage. The next contribution is a new electrochemical model, which computes the average current density and volume density of the lithium-ion flow along the electrode thickness direction. The expression for positive open-circuit voltage of the battery was formulated through experiment and simulation. The electrochemical parameters of the model were determined in a parameter sensitivity analysis and identified by an adaptive chaotic particle swarm optimization algorithm. The accuracy of the electrochemical model was verified in further experiments and simulations.

Key words: lithium ion battery, parameter identification, adaptive chaotic particle swarm optimization

CLC Number: