Energy Storage Science and Technology ›› 2020, Vol. 9 ›› Issue (6): 1991-1999.doi: 10.19799/j.cnki.2095-4239.2020.0198

• Energy Storage Test: Methods and Evaluation • Previous Articles     Next Articles

Modeling and simulation experiments of temperature-coupled mechanism model for lithium-ion battery

Xuhao LI1(), Yu ZHOU1, Bingchuan WANG2()   

  1. 1.School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, Hunan, China
    2.School of Automation, Central South University, Changsha 410083, Hunan, China
  • Received:2020-06-01 Revised:2020-06-24 Online:2020-11-05 Published:2020-10-28
  • Contact: Bingchuan WANG E-mail:286165141@qq.com;bcwang@csu.edu.cn

Abstract:

The mechanism model of a lithium-ion battery has high precision and can reveal the internal information that cannot be described in an experiment. Moreover, this model is greatly significant to aging research, fault diagnosis, and design of a battery management system. This study proposes a simplified method coupled with temperature to tackle the high computational complexity and temperature-coupled influence of the battery model. The proposed model is based on the single particle (SP) model. First, a two-parameter parabolic profile method is used to simplify the solid diffusion equations. Parabolic profile approximation and the finite difference method are then used to solve the liquid diffusion. Second, a whole model, called the simplified pseudo two-dimensional (SP2D) model, is built considering Ohm's law and solid electrolyte interface film polarization. The average temperature of the battery is calculated through the lumped model simplification method or the central difference method. The thermal model is related to the heat production calculated by the mechanism model. The electrochemical parameters in the mechanism model are influenced by the temperature from the thermal model. The mechanism and thermal models are finally coupled. The results show that when current is constant, the simplified coupled model is more accurate than the SP and SP2D models in terms of the battery temperature and battery voltage, respectively. The model also shows a good performance in complex conditions. The root mean square error of the battery terminal voltage and the temperature are less than 0.041 and 0.66, respectively, for the constant current test. In addition, the absolute percentage error is less than 1% and 0.15% for the urban dynamometer driving schedule test.

Key words: lithium-ion battery, electrochemical simplification, temperature-coupled, simulation experiment, dynamic parameters

CLC Number: