Energy storage and control optimization for an electric vehicle |
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| Authors: | Jony Javorski Eckert Ludmila Corrêa de Alkmin e Silva Fabio Mazzariol Santiciolli Eduardo dos Santos Costa Fernanda Cristina Corrêa Franco Giuseppe Dedini |
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| Affiliation: | 1. Integrated Systems Laboratory (LabSIn), Integrated Systems Department (DSI), University of Campinas, Campinas, SP, Brazil;2. Electrical Engineering Department, Federal Technological University of Paraná, Ponta Grossa, PR, Brazil |
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| Abstract: | Two big issues involving electric vehicles are energy supply and power management control. To deal with the energy supply problem, this paper proposes the application of a hybrid energy source system, composed of battery pack and ultracapacitor bank. The power management control between the energy supplies was defined by a fuzzy logic with inference rules optimized through genetic algorithm. The genetic algorithm optimizes lower and upper limits of membership functions aiming to reduce the hybrid energy source system total mass while maximizing the electric vehicle drive range and performance. Through the Pareto frontier, we found the best trade‐off solution. |
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| Keywords: | electric vehicle energy storage fuzzy logic control genetic algorithm optimization |
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