Energy storage and control optimization for an electric vehicle. (10th May 2018)

• Record Type: Journal Article
• Authors: Javorski Eckert, Jony; Corrêa de Alkmin e Silva, Ludmila; Mazzariol Santiciolli, Fabio; dos Santos Costa, Eduardo; Corrêa, Fernanda Cristina; Giuseppe Dedini, Franco
• Is Part Of: International journal of energy research. Volume 42:Number 11(2018)
• Page Start: 3506
• Page End: 3523
• Publication Date: 2018-05-10
• Subjects: electric vehicle -- energy storage -- fuzzy logic control -- genetic algorithm -- optimization; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Power resources -- Research -- Periodicals; 621.042
• DOI: 10.1002/er.4089
• Languages: English
• ISSNs: 0363-907X

Abstract

Summary: 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.