To optimize the torque distribution of each drive wheel of a distributed In-wheel motor car, this paper proposes an in-wheel motor torque distribution method to consider the energy consumption and slip loss of the motor. First, a torque distribution model is established based on the improved quantum genetic algorithm of the disaster operation. Under NEDC operating conditions, the energy consumption of the in-wheel motor based on the torque distribution method of the improved quantum genetic algorithm is reduced by 11.62 compared with that of the torque equivalent distribution method and 3.94 compared with that optimized by the genetic algorithm. Finally, based on the in-wheel motor test bench, the motor torque and the battery SOC curve of the wheel motor under the NEDC condition and UDDS operating conditions are obtained. Experimental results show that the torque distribution method based on the improved quantum genetic algorithm can effectively reduce energy consumption, and it performs better than the ordinary genetic algorithm. Also, the energy consumption optimization effect is the most significant under NEDC conditions, with an energy consumption 11.4 lower than that of the torque equivalent distribution method and 3.8 lower than that of the genetic algorithm optimization distribution method.
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