Development of a Multi-Architecture and Multi-Application Hybrid Vehicle Design and Management Tool
Shiyu Gan,
Daniela Chrenko,
Alan Kéromnès and
Luis Le Moyne
Additional contact information
Shiyu Gan: DRIVE EA 1859, Univ. Bourgogne Franche Comté, F58027 Nevers, France
Daniela Chrenko: Femto-ST, UMR 6174, CNRS, Univ. Bourgogne Franche-Comte, F90010 Belfort, France
Alan Kéromnès: DRIVE EA 1859, Univ. Bourgogne Franche Comté, F58027 Nevers, France
Luis Le Moyne: DRIVE EA 1859, Univ. Bourgogne Franche Comté, F58027 Nevers, France
Energies, 2018, vol. 11, issue 11, 1-19
Abstract:
Hybrid electric vehicles (HEVs) are very promising sustainable mobility solutions. Series, parallel and series-parallel (SP) seem to be three most promising architectures among the multitude of hybrid architectures, and it is possible to find them in a multi-applications such as the motorcycles, family-cars, hybrid city busses and sport cars. It is import to have a well configured model in order to develop the different control strategies (CsTs) for each application. Therefore, a multi-architecture/multi-application (MAMA) approach capable of identifying the most energy efficient hybrid architecture considering both the dimensions of key components: electric motor (EM), battery, internal combustion engine (ICE) and the optimal control is presented. Basis of the model is the energetic macroscopic representation (EMR), which has been combined with object oriented programming (OOP) in order to enhance its modularity and reuse capabilities. The obtained results show, that different hybrid architectures are most adapted for different applications. Moreover, the robustness of the results using real time control algorithms are studied, showing that CsT matters. The obtained results contribute to simplify and harmonize the design of hybrid solutions for multiple applications.
Keywords: hybrid electric vehicle (HEV); control strategy (CsT); energetic macroscopic representation (EMR); object oriented programming (OOP); particle swarm optimization (PSO) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:11:p:3185-:d:183400
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