Multi-objective optimization of a parallel hybrid electric drive train

2011 IEEE Vehicle Power and Propulsion Conference, VPPC 2011

Volumn , Issue , 2011, Pages

  Bertram, Christiane ^a   Buecherl, Dominik ^a   Thanheiser, Andreas ^a   Herzog, Hans Georg ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DEVELOPMENT PROCESS; DRIVE TRAIN; DRIVING CYCLE; ELECTRICAL ENERGY; ELECTRICAL MACHINE; HYBRID ELECTRIC DRIVES; HYBRID ELECTRIC VEHICLE; MULTI OBJECTIVE; OPTIMIZATION METHOD; PARETO FRONT; TOURNAMENT SELECTION;

ALGORITHMS; COPPER; ELECTRIC DRIVES; ELECTRIC MACHINERY; ELECTRIC VEHICLES; FUEL STORAGE; LITHIUM; PROPULSION; SIMULATED ANNEALING; STEEL METALLURGY;

MULTIOBJECTIVE OPTIMIZATION;

EID: 80155186789     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VPPC.2011.6043154     Document Type: Conference Paper

References (16)

1. D. W. Gao, C. Mi, and A. Emadi, "Modeling and Simulation of Electric and Hybrid Vehicles," in Proceedings of the IEEE, vol. 95, no. 4, pp.729-745, 2007.
2. C. Bertram, D. Buecherl, T. Kohler, and H.-G. Herzog, "DIRECT as Two-Level Optimization Method for Drive Train Design and Control of Hybrid Electric Vehicles" in Proceedings of the EVS, 25nd International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exhibition, Nov. 2010.
3. L.-C. Fang and S.-Y. Qin, "Concurrent Optimization for Parameters of Powertrain and Control System of Hybrid Electric Vehicle Based on Multi-Objective Genetic Algorithms", in proceedings of the IEEE SICE-ICASE, pp. 2424-2429, Oct. 2006.
4. B. Huang, Z. Wang, and Y. Xu, "Multi-Objective Genetic Algorithm for Hybrid Electric Vehicle Parameter Optimization", in proceedings of the IEEE International Conference on Intelligent Robots and Systems, pp. 5177-5182, Oct. 2006.
5. C. Desai and S.S. Williamson, "Optimal Design of a Parallel Hybrid Electric Vehicle using Multi-Objective Genetic Algorithms", in proceedings of the 5th IEEE Vehicle Power and Propulsion Conference, pp. 871-876, Sept 2009.
6. T. Hofman, D. Hoekstra, R.M. van Druten, and M. Steinbuch, "Optimal design of energy storage systems for hybrid vehicle drivetrains", in proceedings of the 1st IEEE Vehicle Power and Propulsion Conference, pp. 73-77, Sept. 2005.
7. J. Horn, N. Nafplioris, and D.E. Goldberg, "A Niched Pareto Genetic Algorithm for Multiobjective Optimization", in proceedings of the 1st IEEE Conference on Evolutionary Computation, pp. 82-87, June 1994.
8. N. Mori, J. Yoshida, H. Tamaki, H. Kita, and Y. Nishikawa, "A Thermodynamical Selection Rule for the Genetic Algorithm", in proceedings of the 2nd IEEE Conference on Evolutionary Computation, pp. 188-192, Nov. 1995.
9. S.-J. Lin, Y.-J. Huang, and C.-M. Ko, "MCM Placement Problem with GASA Multi-objective Optimization Strategy", in proceedings of the IEEE International Conference on Electronic Materials and Packaging, Nov. 2007.
10. R. Bai, E. K. Burke, G. Kendall, J. Li, and B. McCollum, "A Hybrid Evolutionary Approach to the Nurse Rostering Problem", in IEEE Transactions on Evolutionary Computation, vol. 14, no. 4, pp. 580-590, Aug 2010.
11. T. Renyuan, Y. Shiyou, L. Yan, W. Geng, and M. Tiemin, " Combined Strategy of Improved Simulated Annealing and Genetic Algorithm for Inverse Problem", in IEEE Transactions on Magnetics, vol. 32, no. 3, pp. 1326-1329, May 1996.
12. H. Kita, Y. Yabumoto, N. Mori, and Y. Nishikawa, "Multi-Objective Optimization by Means of the Thermodynamical Genetic Algorithm", Parallel Problem Solving from Nature - PPSN IV Lecture Notes in Computer Science, 1996, vol. 1141/1996, pp. 504-512, DOI: 10.1007/3- 540-61723-X-1014
13. Y. Wang, Z. Cai, G. Guo, and Y. Zhou, "Multiobjective Optimization and Hybrid Evolutionary Algorithm to Solve Constrained Optimization Problems", in IEEE Transactions on Systems, Man, and Cybernetics -Part B: Cybernetics, vol. 37, no. 3, June 2007.
14. K. Deb, L. Thiele, M. Laumanns, and E. Zitzler, "Scalable Multi- Objective Optimization Test Problems", in proceedings of the 2002 IEEE Congress on Evolutionary Computation, pp. 825-830, May 2002.
15. D. Buecherl and H.-G. Herzog, "Iron Loss Modeling by Complex Inductances for Steady State Simulation of Electrical Machines,"Proceedings of the 20th International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 883, Jun. 14-16, 2010.
16. W. Tahil, "How Much Lithium does a LiIon EV battery really need?,"Meridian International Research: http://www.meridian-intres. com/Projects/How-Much-Lithium-Per-Battery.pdf Downloaded: 2011/06/29