Research on Extraction and Analysis of Characteristic Conditions of Hub Motor for Electric Vehicles

Abstract

The traditional electric machine optimization design technology is generally based on continuous power or overload conditions. It is difficult to fully consider the entire operating domain of the machine, and it is difficult to effectively improve the overall efficiency of the motor. In order to achieve an effective improvement of the overall efficiency of the electric motor under the operating conditions of the vehicle, the motor drive system is well matched with the vehicle design. This paper proposes an electromagnetic optimization design technology for multiple working conditions, uses NEDC working conditions to simulate the actual running conditions of the vehicle to the motor, and optimizes the design of the motor with the highest comprehensive efficiency (lowest comprehensive energy consumption) under the working conditions. By using statistical method, more than 1000 working points of the motor in the whole operating range are simplified into 11 characteristic working conditions. By calculating and comparing the overall energy consumption of the motor under NEDC working condition and 11 characteristic points, the effectiveness of the extraction method of characteristic working conditions is verified.