Structural parameter optimization of electric scroll compressor based on genetic algorithm
In order to reduce the energy consumption in air conditioning system and improve the endur-ance capacity of electric vehicles,genetic algorithm is used to optimize the main structural parameters of the vortex disk of the electric scroll compressor.The flow of working medium in electric scroll compressor is calculated and analyzed by means of computational fluid dynamics(CFD).The results of simulation calculation and compressor performance experiment show that,under the same suction vol-ume and operating conditions,by optimizing the relevant structural parameters of the vortex disk,the external compression indicated work is reduced by 60.71%,and the exhaust temperature of the center chamber is reduced by 1-2 K.The internal flow field analysis of the electric scroll compressor indicates that the vortex disk with optimized structure parameters can reduce the flow power consumption caused by the gas vortex to a certain extent,thus reducing the total power consumption of the electric scroll compressor.The experimental results show that the optimized input power decreases by 2.68%under the condition that the refrigerating capacity of the compressor remains unchanged.
scroll compressorgenetic algorithmflow field analysisstructure optimization