Application of Evolutionary Algorithm for Triobjective Optimization: Electric Vehicle

Naourez Ben Hadj, Jalila Kaouthar Kammoun and Rafik Neji
Additional contact information
Naourez Ben Hadj: National Engineering School of Sfax, University of Sfax, Sfax, Tunisia
Jalila Kaouthar Kammoun: National Engineering School of Sfax, University of Sfax, Sfax, Tunisia
Rafik Neji: National Engineering School of Sfax, University of Sfax, Sfax, Tunisia

International Journal of Energy Optimization and Engineering (IJEOE), 2014, vol. 3, issue 3, 1-19

Abstract: For Electric Vehicles (EVs), Weight and losses reduction are important factors not only in reducing the energy consumption and cost but also in increasing autonomy. This paper describes the application of an evolutionary algorithm for multiobjective optimization in the traction chain (TC) of pure EV. In this study, the optimisation algorithm is based on the Strength Pareto Evolutionary Algorithm (SPEA-II) and the fitness function is defined so as to minimize the electric vehicle cost (EVC), the electric vehicle weight (EVW) and the losses in the electric vehicle (EVL). Also, in this study, different requirements are considered as constraints like the efficiency of the permanent magnets engine, the number of conductor in the slots, the winding temperature…The simulation results show the effectiveness of the approach and reduction in EVC, EVW and EVL while ensuring that the electric vehicle performance is not sacrificed.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijeoe.2014070101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jeoe00:v:3:y:2014:i:3:p:1-19

Access Statistics for this article

International Journal of Energy Optimization and Engineering (IJEOE) is currently edited by Jose Marmolejo-Saucedo

More articles in International Journal of Energy Optimization and Engineering (IJEOE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().