Junfu Li1, Chao Lyu1, Lixin Wang2, Enhui Liu2, Michael G. Pecht3, Yinjiao Xing3
1School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
2School of Electromechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
3CALCE, Center for Advanced Life Cycle Engineering, Department of Mechanical Engineering, University of Maryland, College Park, Maryland 20740, USA
Traditional electrochemical algorithms are too complex for use in real-time battery management systems (BMSs). Determination of parameters and implementation of algorithms are the key challenges for electrochemical models for Li-ion batteries. This paper develops a simplified electrochemical model that incorporates open-circuit voltage, liquid-phase diffusion, reaction polarization, and ohmic polarization, and uses a fast operating test to identify all the parameters to solve these challenges. The model is then implemented and compared against experimental measurements. Validations of parameter estimation and charge/discharge behaviors indicate that the developed parameter estimation method for the electrochemical model is effective. With this model and parameter estimation technique, electrochemical model-based state of charge (SOC) estimation can be realized online and can provide accurate results.