| DISTRIBUTION METHOD OF AUTOMOTIVE TORQUE FOR HUB
MOTOR CONSIDERING ENERGY CONSUMPTION OPTIMIZATION |
| Wu shi , Li Yipeng , Guan Yibo , Liu Taorui , Che CuiRu |
| School of Mechanical Engineering, Harbin University of Science and Technology |
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| ABSTRACT |
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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. |
| Key Words:
Distributed electric vehicle, Optimal torque distribution, Energy consumption optimization, Improved
quantum genetic algorithm |
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Corresponding Author.
Wu shi , Email. 
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