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Optimization of electric propulsion system for a hybridized vehicle
Authors:Jony Javorski Eckert  Ludmila Corrêa de Alkmin e Silva  Eduardo dos Santos Costa  Fabio Mazzariol Santiciolli  Fernanda Cristina Corrêa  Franco Giuseppe Dedini
Institution:1. Integrated Systems Laboratory (LabSIn) Integrated Systems Department (DSI), University of Campinas, Campinas, S?o Paulo, Brazil;2. javorski@fem.unicamp.br;4. Department of Electrical Engineering, Federal Technological University of Paraná – UTFPR, Ponta Grossa, Paraná, Brazil
Abstract:The reduction of vehicle fuel consumption is one of the most important targets for the automotive industry. Plug-in electric vehicles (PHEVs) are considered a viable alternative to improve the vehicle performance and efficiency. This study presents a prototype of a hybridization kit to convert a conventional vehicle into a PHEV that results in an expressive reduction of fuel consumption. Due to this, an interactive adaptive-weight genetic algorithm optimization was applied to find out optimum configurations for the hybridization kit in order to minimize the overall cost to perform FTP-75 and US06 driving cycles and to improve performance.
Keywords:Plug-in hybrid electric vehicles (PHEV)  hybridization kit  fuel economy  electric motors  batteries  genetic algorithms
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