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Eco-efficiency optimization of Hybrid Electric Vehicle based on response surface method and genetic algorithm
Nzisabira, Jonathan; Louvigny, Yannick; Duysinx, Pierre
2008In Proceedings of EET-2008 European Ele-Drive Conference and International Advanced Mobility Forum
 

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Keywords :
Ecoefficiency; MDO; response surface model; multi objective optimization; multi objective genetic algorithm.
Abstract :
[en] The electric vehicles (EV) and sometimes the hybrid electric vehicle (HEV) technologies are environmentally very efficient but can not succeed on the market because of a smaller ability to satisfy customer’s requirements. Comparison of clean technologies in automotive and transportation systems has been measured using different analysis tools such as LCA (life cycle analysis). However, these instruments never account for the user’s satisfaction which partly explains the market acceptance problems. The Eco efficiency is a global index which accounts for both environment impacts and user satisfaction. The main objective of vehicle powertrain hybridization is to improve the fuel consumption and environment pollutants impact (Eco-score) without decreasing the vehicle performances and other user satisfaction criteria. The objective of this study is to minimize the Eco-score indicator of HEV with respect to the user satisfaction criteria. The approach is formulated as a multidisciplinary optimization problem. At first the EV or HEV are modeled and simulated using ADVISOR (advanced vehicle simulator) with respect to several driving situations. Then emissions can be determined and the Ecoscore indicator can be calculated. User Satisfaction can be evaluated based on performance criteria extracted from ADVISOR simulation and on simple evaluation tools relying on the state-of-the art of technological information for safety, reliability and daily cost. In this study the design problem is stated as follows: select mechanical and electric components (like engine, motor and battery sizes) to minimize the Ecoscore indicator and to maximize user satisfaction criteria subject to catalogue constraints on the choice of the components. The approach is illustrated on applications dealing with parallel hybrid electric vehicles.
Disciplines :
Energy
Mechanical engineering
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Nzisabira, Jonathan ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Ingénierie des véhicules terrestres
Louvigny, Yannick ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Ingénierie des véhicules terrestres
Duysinx, Pierre  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Ingénierie des véhicules terrestres
Language :
English
Title :
Eco-efficiency optimization of Hybrid Electric Vehicle based on response surface method and genetic algorithm
Publication date :
March 2008
Event name :
EET-2008 European Ele-Drive Conference and International Advanced Mobility Forum
Event organizer :
European Association for Battery, Hybrid and Fuel Cell Electric Vehicles aisbl/ivzw
Event place :
Geneva, Switzerland
Event date :
March 11-13
Audience :
International
Main work title :
Proceedings of EET-2008 European Ele-Drive Conference and International Advanced Mobility Forum
Available on ORBi :
since 15 July 2009

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