期刊
ENERGY
卷 102, 期 -, 页码 444-452出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2016.02.050
关键词
Electric power assist steering system; Particle swarm optimization; Ant colony optimization; Electric vehicle
资金
- Ministry of Science, Technology and Innovation (MOSTI) Malaysia [03-01-08-SF0232]
Energy management in electric vehicle technology is very important as the energy source of all its system operations are solely relying on the battery. Efforts are being made to reduce the energy consumed as much as possible in electric vehicle system. As one of the auxiliary elements of the system, the electric power assist steering system can be controlled or manipulated in such a way that minimum energy from the battery source is being drawn during operation. This unique feature enables the system to be tuned with the optimal performance setting so that less power is needed for its optimum operation. The research's aim is to apply the swarm optimization technique; Particle Swarm Optimization and Ant Colony Optimization to improve the controller's performance. The investigation covers an analysis of power consumption for the system in simulation and experimental setup. Both simulation and experimental tests are conducted to validate the proposed controller performance in optimizing power reduction. It is proven that the ant colony optimization tuned controller outperform the controller tuning using particle swarm optimization for power minimization. (C) 2016 Elsevier Ltd. All rights reserved.
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