Real-time torque-distribution strategy for a pure electric vehicle with multiple traction motors by particle swarm optimization
Journal
IET Electrical Systems in Transportation
Journal Volume
6
Journal Issue
2
Pages
76-87
Date Issued
2016
Author(s)
Abstract
This study proposes a real-time torque-distribution strategy for a pure electric vehicle (EV) with multi-electric propulsion system. This electric propulsion system is composed of three motors - an indirectly driven traction motor for front wheels and two in-wheel motors installed inside both rear wheels. Their torque distribution is determined by particle swarm optimisation (PSO) theory for minimising energy consumption according to the torque-speed-efficiency maps of all the traction motors. The energy consumption over the New European Driving Cycle is analysed for the EV with multiple traction motors. Simulation results by hardware-in-the-loop show that the driving efficiency of the proposed real-time torque-distribution strategy by the PSO is close to the results from the global optimisation method by dynamic programming. © 2016 The Institution of Engineering and Technology.
Other Subjects
Dynamic programming; Electric propulsion; Electric traction; Electric vehicles; Energy utilization; Global optimization; Particle swarm optimization (PSO); Propulsion; Torque; Wheels; Electric propulsion systems; Global optimisation; Hard-ware-in-the-loop; New european driving cycles; Particle swarm optimisation; Pure electric vehicles; Torque distribution; Two in-wheel motors; Traction motors
Type
journal article