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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 217))

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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

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Acknowledgments

Supported by National 863 Project No. 2010AA044401.

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Correspondence to Lin Yang .

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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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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4849-4

  • Online ISBN: 978-1-4471-4850-0

  • eBook Packages: EngineeringEngineering (R0)

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