Research on the optimization of the control strategy of a vehicle thermal management system for pure electric vehicles
摘要
A multi-loop coupled integrated thermal management system was designed for a pure electric passenger car based on heat pump technology, and the temperature control strategies for key components such as battery, passenger cabin, and electric motor were established to meet the driving requirements of the vehicle while maximizing energy efficiency. Based on the joint simulation platform of Amesim and MATLAB/Simulink, a one-dimensional simulation model of the vehicle thermal management system was constructed and verified under the real vehicle working conditions of high temperature in summer and low temperature in winter. In order to further improve the energy consumption of the thermal management system, the optimization of the control strategy by introducing fuzzy control. The results show that, compared with the finite state machine control, the fuzzy control of the compressor can stabilize the temperature of the passenger cabin, reduce the cooling time of the battery by 22 %, and reduce the consumption of state of charge (SOC) by 6.7 % in summer cooling condition, and stabilize the temperature of the passenger cabin and the temperature of the passenger cabin air outlets in winter heating condition; the coefficient of performance (COP) is high with a reduction of energy consumption by 19.6 %.