A thermal management method for lithium-ion battery based on fuzzy model predictive control

The lithium-ion battery has become one of the main power sources in electric vehicles (EVs) because of its great performance. In order to improve the safety and endurance, the temperature of the lithium-ion battery must be kept within a safe range. In this paper, a thermal management method for lithium-ion battery based on fuzzy model predictive control (FMPC) is proposed. Among various lithium-ion battery models, the equivalent circuit model is common-used for its simplicity and suitability. However, the effect of temperature is seldom considered. This paper comprehensively considers the influence of state of charge (SOC) and temperature on the parameters of equivalent circuit model. The simulation results show that the proposed lithium-ion battery thermal management method is effective, and has great performance.