This invention relates to a
noise reduction design method, processor, and storage medium for a
rail transit vehicle
traction system. The method includes: designing top-level parameters based on the
train's top-level performance requirements; establishing a relationship model between the weight and
noise of the
traction system equipment based on the top-level parameters, performing a weighted analysis of lightweighting and
noise factors, and adjusting the top-
level design parameters to minimize the evaluation results; simulating the actual operating state of the
traction system based on the adjusted top-
level design parameters, combined with the traction
system's operating line conditions, maximum operating ambient temperature, and altitude, and calculating the current curve; calculating the equipment operating loss curve based on the current curve and the traction
system's operating characteristics, designing cooling
system parameters, and selecting cooling components based on the cooling
system parameters. Through this method, unnecessary performance redundancy in the traction system can be reduced, equipment weight can be lowered, thereby improving the lightweight performance of the traction system and significantly improving the environmental friendliness and ride comfort of
rail transit vehicles.