Title :
Real-time driving strategy for a pure electric vehicle with multiple traction motors by particle swarm optimization
Author :
Yee-Pien Yang ; Ying-Che Shih ; Jia-Min Chen
Author_Institution :
Dept. of Mech. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
This paper introduces a real-time torque-distribution driving strategy for a pure electric vehicle. This vehicle is driven by a powertrain of three traction 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 optimization theory for minimizing energy consumption according to the torque-speed-efficiency maps of all the traction motors. Simulation results by hardware-in-the-loop show that the driving efficiency of the proposed real-time torque-distribution driving strategy by particle swarm optimization is close to the results from the global optimization method by dynamic programming.
Keywords :
dynamic programming; hybrid electric vehicles; minimisation; particle swarm optimisation; power transmission (mechanical); torque; traction motors; wheels; dynamic programming; electric vehicle; energy consumption minimization; front wheels; global optimization method; hardware-in-the-loop; in-wheel motors; particle swarm optimization; powertrain; real-time torque distribution driving strategy; rear wheels; torque speed efficiency maps; traction motor; Electric vehicle; multiple traction motors; particle swarm optimization; torque distribution strategy;
Conference_Titel :
Power Electronics, Machines and Drives (PEMD 2014), 7th IET International Conference on
Conference_Location :
Manchester
Electronic_ISBN :
978-1-84919-815-8
DOI :
10.1049/cp.2014.0334