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A Novel Multi-Objective Self Adjusting AC Drive System for Coordinated (FC-Battery) Powered Electric Vehicle
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A Novel Multi-Objective Self Adjusting AC Drive System for Coordinated (FC-Battery) Powered Electric Vehicle
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Abstract
This paper presents a novel Electric Vehicle (EV) coordinated control scheme for Fuel Cell Plug-in Hybrid Electric Vehicle (FC-PHEV) based on Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) self adjusting algorithms. The proposed EV drive system comprised a FC, Ni-MH battery as secondary DC energy source, and the induction motor. The use of PSO/GA soft computing search and optimization algorithms ensures optimized online control settings. The AC drive utilized the simple hysteresis current controller with PSO/GA optimal slip driven by the reference speed and current signals. The main features of the control scheme are to track speed reference trajectory with minimum over-current, enhanced energy utilization, EV-drive loss reduction and dynamic drive response for parameters variation and stabilization of the common DC-link bus voltage. The integrated DC-AC drive-scheme is fully stabilized using a novel FACTS Green Plug Fil...
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International Category Code (ICC):
ICC-0202
Adel A. A. Elgammal, Adel M. Sharaf
International Article Address (IAA):
IAA.ZONE/en6729en
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