Indexed by:会议论文
Date of Publication:2017-01-01
Included Journals:Scopus、EI、CPCI-S
Volume:0
Page Number:1619-1624
Abstract:This paper presents a torque distribution algorithm aiming to improve both the energy economy and vehicle performance for electric vehicles with four in-wheel motors. To incorporate energy management issue into the torque distribution problem, a mathematical energy efficiency model for the driving motor is built based on experimental data. The design of the multi-objective optimization problem considering the following three factors: energy consumption, road handling and ride comfortability. To solve this complex objective function, an Adaptive Particle Swarm Optimization (APSO) algorithm is adopted to figure out this multi-objective optimization problem. Co-simulation based on CarSim and Simulink indicates that the proposed torque distribution algorithm can improve energy economy, road handling and ride comfortability of the electric vehicle with four in-wheel motors compared with the even-distribution algorithm.
Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Gender:Male
Alma Mater:吉林大学
Degree:Doctoral Degree
School/Department:机械工程学院
Discipline:Vehicle Engineering. Vehicle Operation Engineering
Business Address:海涵楼417A
Contact Information:15524800674
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