Efficiency-optimization control of extended range electric vehicle using online sequential extreme learning machine

2013 9th IEEE Vehicle Power and Propulsion Conference, IEEE VPPC 2013

Volumn , Issue , 2013, Pages 146-151

  Meng, Bumin ^a   Wang, Yaonan ^a   Yang, Yimin ^a  

^a HUNAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILE DRIVERS; EFFICIENCY; ELECTRIC VEHICLES; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; OPTIMAL SYSTEMS; PROPULSION; TESTING;

EXTENDED-RANGE ELECTRIC VEHICLES; EXTREME LEARNING MACHINE; FEDERAL TEST PROCEDURES; MULTI-OBJECTIVE PROBLEM; ONLINE SEQUENTIAL EXTREME LEARNING MACHINE; PARETO OPTIMAL SOLUTIONS; URBAN DRIVING CYCLES; URBAN DYNAMOMETER DRIVING SCHEDULES;

CONSTRAINED OPTIMIZATION;

EID: 84893333878     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VPPC.2013.6671680     Document Type: Conference Paper

References (20)

1. A. Ebner, et al., "Study of Possible Range Extender Concepts with Respect to Future Emission Limits," SAE Technical Paper, pp. 32-0129, 2010.
2. I. Aharon and A. Kuperman, "Topological overview of powertrains for battery-powered vehicles with range extenders," Power Electronics, IEEE Transactions on, vol. 26, pp. 868-876, 2011.
3. J. Waldner, et al., "Development and Testing of an Advanced Extended Range Electric Vehicle," SAE Technical Paper, pp. 01-0913, 2011.
4. G. Fraidl, et al., "Challenges and Solutions for Range Extenders-From Concept Considerations to Practical Experiences," SAE Technical Paper, pp. 37-0019, 2011.
5. C. F. Wang, et al., "A Permanent Magnet Integrated Starter Generator for Electric Vehicle Onboard Range Extender Application," Magnetics, IEEE Transactions on, vol. 48, pp. 1625-1628, 2012.
6. S. Varnhagen, et al., "A numerical investigation on the efficiency of range extending systems using Advanced Vehicle Simulator," Journal of Power Sources, vol. 196, pp. 3360-3370, 2011.
7. E. D. Tate and S. P. Boyd, "Finding ultimate limits of performance for hybrid electric vehicles," SAE transactions, vol. 109, pp. 2437-2448, 2000.
8. S. Delprat, et al., "Control of a parallel hybrid powertrain: optimal control," Vehicular Technology, IEEE Transactions on, vol. 53, pp. 872-881, 2004.
9. T. Hofman and R. van Druten, "Energy analysis of hybrid vehicle powertrains," in Proc. IEEE Int. Symp. Veh. Power Propulsion, 2004, pp. 1-8.
10. J. Yang, et al., "On-line building energy prediction using adaptive artificial neural networks," Energy and buildings, vol. 37, pp. 1250-1259, 2005.
11. M. Koot, et al., "Energy management strategies for vehicular electric power systems," Vehicular Technology, IEEE Transactions on, vol. 54, pp. 771-782, 2005.
12. G.-B. Huang, et al., "Universal approximation using incremental constructive feedforward networks with random hidden nodes," Neural Networks, IEEE Transactions on, vol. 17, pp. 879-892, 2006.
13. G.-B. Huang and L. Chen, "Convex incremental extreme learning machine," Neurocomputing, vol. 70, pp. 3056-3062, 2007.
14. G.-B. Huang, et al., "On-line sequential extreme learning machine," in The IASTED international conference on computational intelligence (CI 2005), Calgary, Canada, 2005.
15. N.-Y. Liang, et al., "A fast and accurate online sequential learning algorithm for feedforward networks," Neural Networks, IEEE Transactions on, vol. 17, pp. 1411-1423, 2006.
16. M. Atzwanger, et al., "Two-Cylinder Gasoline Engine Concept for Highly Integrated Range Extender and Hybrid Powertrain Applications," SAE Technical Paper, pp. 32-0130, 2010.
17. C. F. Wang, et al., "A Permanent Magnet Integrated Starter Generator for Electric Vehicle Onboard Range Extender Application," Magnetics, IEEE Transactions on, vol. 48, pp. 1625-1628, 2012.
18. G.-B. Huang, et al., "Extreme learning machine for regression and multiclass classification," Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, vol. 42, pp. 513-529, 2012.
19. D. Serre, Matrices: Theory and applications vol. 216: Springer, 2010.
20. E. K. Chong and S. H. Zak, An introduction to optimization: Wiley, 2013.