NDLI: Real-time torque-distribution strategy for a pure electric vehicle with multiple traction motors by particle swarm optimisation

Content Provider	IET Digital Library
Author	Yang, Yee Pien Shih, Ying Che Chen, Jia Min
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.
Starting Page	76
Ending Page	87
Page Count	12
ISSN	20429738
Volume Number	6
e-ISSN	20429746
Issue Number	Issue 2, Jun (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-est/6/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-est.2014.0050
Journal	IET Electrical Systems in Transportation
Publisher Date	2016-06-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	A.C. Machine D.C. Machines Dynamic Programming Electric Vehicle Energy Consumption Minimisation European Driving Cycle Front Wheels Global Optimisation Method Hardware-in-the-loop In-wheel Motors Indirectly-driven Traction Motor Multielectric Propulsion System Multiple-traction Motors Optimisation Technique Particle Swarm Optimisation PSO Theory Pure Electric Vehicle Pure EV Real-time Torque-distribution Strategy Rear Wheels Torque Torque-speed-efficiency Maps Traction Motors Transportation Wheels
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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