Abstract
Regenerative braking is an effective approach for electric vehicles to reduce fuel consumption and emission. In this paper, we propose a novel online regenerative braking predictive control strategy for hybrid electric bus. Together with the real-time model estimated vehicle mass and road load force, and model recognized distribution information of the bus stations and traffic lights, the strategy can predict the coming deceleration and control regenerative braking appropriately before the driver starts friction brake. The simulation results show that the approach is effective to improve the energy recovery and help to smooth the vehicle decelerating process.
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References
http://www.epa.gov/climatechange/emissions/downloads09/GHG2007-ES-508.pdf
Gao Y, Chen L, Ehsani M (1999) Investigation of the effectiveness of regenerative braking for EV and HEV. SAE Trans 108(6):3184–3190
Yao J, Zhong Z, Zechang S (2006) A fuzzy logic based regenerative braking regulation for a fuel cell bus. Vehicular Electronics and Safety (lCVES 2006), vol 687. Beijing, pp 22–25
Zhang J, Baoyu S, Cui S (2009) Fuzzy logic approach to regenerative braking system. International conference on intelligent human-machine systems and cybernetics (IHMSC ‘09) vol 86. pp 451–454
Yeo H, Kim H (2006) Regenerative braking algorithm for a hybrid electric vehicle with CVT ratio control. In: Proceedings of IMechE, part D: 1. Automobile Eng 220:1589–1600
Hosam KF, Dongsoo K, Jeffrey LS (2008) Online vehicle mass estimation using recursive least squares and supervisory data extraction. 2008 American control conference, vol 11. pp 1842–1848
Acknowledgments
Supported by National 863 Project No. 2010AA044401.
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© 2013 Springer-Verlag London
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Yanqing, H., Yan, B., Shumei, Z., Yan, T., Yang, L. (2013). Online Regenerative Braking Predictive Control for Hybrid Electric Bus. In: Zhong, Z. (eds) Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012. Lecture Notes in Electrical Engineering, vol 217. Springer, London. https://doi.org/10.1007/978-1-4471-4850-0_22
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DOI: https://doi.org/10.1007/978-1-4471-4850-0_22
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Online ISBN: 978-1-4471-4850-0
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