Multi-objective optimization analysis of an electric vehicle air-conditioning system based on AMEsim and HEEDS

The air conditioning system of electric vehicles is crucial to ensure the comfort of passengers and reduce energy consumption. This paper establishes a multi-objective optimization co-simulation model of an electric vehicle air conditioning system based on AMEsim and HEEDS. With the system cooling capacity, compressor energy consumption, performance of coefficient, and temperature drop time as the optimization objectives and the evaporator outlet air temperature, operating pressure, and pressure ratio as the constraints, the NSGA-Ⅲ algorithm is used to select the system operating parameters that meet the optimization objectives and constraint conditions. The effects of different operating parameters on the optimization objectives are analyzed. The results show that the research method can effectively locate a reasonable range of different operating parameters, compressor speed is the most important factor affecting the optimization objectives, and parameter sensitivity analysis results help formulate more effective operation control strategies.