Agradecimentos: This work was conducted during scholarships supported by the National Council for Scientific and Technological Development (CNPq), Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES), State of São Paulo Research Foundation (FAPESP), Federal University of Technology – Parana (UTFPR) and the University of Campinas (UNICAMP). Financial support was provided by Paulista Light and Power Company (CPFL) and National Electric Energy Agency (ANEEL) Ver menos

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 Ver menos