publication . Conference object . 2008

Eco-efficiency optimization of Hybrid Electric Vehicle based on response surface method and genetic algorithm

Nzisabira, Jonathan; Louvigny, Yannick; Duysinx, Pierre;
Open Access English
  • Published: 01 Mar 2008
  • Country: Belgium
Abstract
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 im...
Subjects
free text keywords: Ecoefficiency, MDO, response surface model, multi objective optimization, multi objective genetic algorithm., : Mechanical engineering [Engineering, computing & technology], : Ingénierie mécanique [Ingénierie, informatique & technologie], : Multidisciplinary, general & others [Engineering, computing & technology], : Multidisciplinaire, généralités & autres [Ingénierie, informatique & technologie], : Energy [Engineering, computing & technology], : Energie [Ingénierie, informatique & technologie]
Related Organizations

[1] C.C. Chan and K.T. Chau. Modern Electric Vehicle Technology. Oxford Science Publications. 2001.

[2] J. Garcelon, T. Markel, K. Wipke, Hybrid vehicle design optimization, AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 8th, Long Beach, CA, Sept. 6-8, 2000. AIAA-2000-4745 [OpenAIRE]

[3] K. Wipke, and Markel, T., Optimization Techniques for Hybrid Electric Vehicle Analysis Using ADVISOR, Proceedings of ASME, International Mechanical Engineering Congress and Exposition, New York, November 11-16, 2001.

[4] K. Wipke, T. Markel, and D. Nelson, Optimizing Energy Management strategy and Degree of Hybridization for a Hydrogen Fuel cell SUV, Proceedings of 18th Electric Vehicle Symposium (EVS-18), Berlin, Germany, October 20-24, 2001.

[5] Z. Filipi, L. Louca, B. Daran, C.-C. Lin, U. Yildir, B. Wu, M. Kokkolaras, D. Assanis, H. Peng, P. Papalambros, J. Stein, D. Szubiel and R. Chapp. Combined optimization of design and power management of a hydraulic hybrid propulsion system for 6 x 6 medium truck. Int. J. of Heavy Vehicles Systems. Vol 11, No 3/4, pp 372-401, 2004

[6] M. Montazeri-Gh and A. Pourmasad. Appplication of genetic algorithm for simultaneous optimization of HEV component sizing and control strategy. Int. J. Alternative Propulsion. Vol 1 No1, 63-78, 2006. [OpenAIRE]

[7] M.-J. Kim and H. Peng. Power management and design optimization of fuel cell/battery hybrid vehicles. Journal of Power Sources. Vol 165, Issue 2, March 2007, 583-593, 2007.

[8] J. Van Mierlo, et al. Comparison of the environmental damage cuased by vehicle different alternative fuels and drivetrains in Brussels context. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering 217, pp 583-593, 2003.

[9] J. Van Mierlo. How to define clean vehicles? Environmental rating of vehicles. Int. Journal of Automotive Technology. Vol 4, No2, 77-86, 2003.

[10] K. B. Wipke, M. R. Cuddy, and S. D. Burch, ADVISOR 2.1: A User-Friendly Advanced Powertrain Simulation Using a Combined Backward/Forward Approach, IEEE Transaction on Vehicular Technology, November 1999, vol 48, 1751-1761.

[11] T. Markel, A. Booker, T. Hendriks, V. Johnson, F. Kelly, B. Kramer, M. O'Keefe, S. Sprik and K. Wipke. ADVISOR: a system analysis tool for advanced modeling. Journal of Power Sources. Vol 111, 255-266. 2002. [OpenAIRE]

Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue