Adaptive Control of Hybrid Electric Bus

Article Preview

Abstract:

Hybrid electric vehicle was powered by motor and engine. So making a good energy management strategy to torque split between motor and engine is very important. A static control strategy is not suitable for all drive cycles and all driving habits. This paper designs an adaptive control strategy for parallel HEV. In order to regulate the SOC balance of batter, the adaptive control strategy can update itself through analyzing the data obtained from previous driving cycle. Adaptive control strategy was tested in driving cycle of BC_CTC, the result prove that this method is effective.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

912-917

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Lars Johannesson, Stefan Pettersson, Bo Egerdt (2009) Predictive energy management of a 4QT series-parallel hybrid electric bus, Control Engineering Practice 17: 1440-1453.

DOI: 10.1016/j.conengprac.2009.07.004

Google Scholar

[2] Chris Manzie, Harry Watson, Saman Halgamuge, Fuel economy improvement for urban driving: hybrid vs. intelligent vehicles, Transportation Research Part C 15(2007) 1-16.

DOI: 10.1016/j.trc.2006.11.003

Google Scholar

[3] Fazal Syed, Swathi Nallapa, Allen Dobryden, Carrie Grand, Ryan McGee and Dimitar Filev , Design and analysis of an adaptive real-time advisory system for improving real world fuel economy in a hybrid electric vehicle, SAE International 2010-01-0835.

DOI: 10.4271/2010-01-0835

Google Scholar

[4] Fazal U. Syed, Dimitar Filev, Fling Tseng, Hao Ying, Adaptive real-time advisory system for fuel economy improvement in a hybrid electric vehicle, The 28th North Fuzzy Information on Processing Society Annual Conference (NAFIPS2009) Cincinnati, USA-June 14-17, (2009).

DOI: 10.1109/nafips.2009.5156404

Google Scholar

[5] Amir Poursamad, Morteza Montazeri, Design of genetic-fuzzy control strategy for parallel hybrid electric vehicles. Control Engineering practice 16(2008) 861-873.

DOI: 10.1016/j.conengprac.2007.10.003

Google Scholar

[6] Daniel Ambuhl, Olle Sundstrom, Antonio Sciarretta, Lino Guzzella, Explicit optimal control policy and its practical application for hybrid electric powertrains. Control Engeering practice 18(2010) 1429-1439.

DOI: 10.1016/j.conengprac.2010.08.003

Google Scholar

[7] S. kermani, S. Delprat, T.M. Guerra, R. Trigui, B. Jeanneret, Predictive energy management for hybrid vehicle. S. kermani, S. Delprat, T.M. Guerra, R. Trigui, B. Jeanneret.

DOI: 10.1016/j.conengprac.2011.12.001

Google Scholar

[8] Control Engineering Practice 20 (2012) 408-420.

Google Scholar