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Energy Management of Planetary Gear Hybrid Electric Vehicle Based on Improved Dynamic Programming

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Book cover Neural Information Processing (ICONIP 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10639))

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Abstract

Dynamic Programming (DP) is often used in hybrid electric vehicle (HEV) energy management strategies to optimize fuel economy performance. When using the DP algorithm to find the optimal State of Charge (SOC) trajectory, we found that the optimal SOC trajectory is more than one. However, the traditional DP algorithm can just show one optimal path from masses of optimal SOC trajectories. In this paper, we proposed an improved DP algorithm to find a region which is made up of many optimal trajectories. Planetary gear hybrid electric vehicles as a research object in this paper and obtained the better fuel economy by the proposed algorithm with a lower computational complexity. At the same time, this method can offer the possibility for the further optimization of the vehicle ride comfort in the future.

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Acknowledgement

Supported by Jilin Province Science and Technology Development Fund (20150520115JH); Energy Administration of Jilin Province [2016]35.

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Authors and Affiliations

  1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, 130022, China

    Xin Tang, Liang Chu, Nan Xu & Di Zhao

  2. R&D Center, China FAW Group Corporation, Changchun, 130011, China

    Zhe Xu

Authors
  1. Xin Tang
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  2. Liang Chu
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  3. Nan Xu
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  4. Di Zhao
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  5. Zhe Xu
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Corresponding author

Correspondence to Nan Xu .

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Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, China

    Derong Liu

  2. Guangdong University of Technology, Guangzhou, China

    Shengli Xie

  3. South China University of Technology, Guangzhou, China

    Yuanqing Li

  4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Dongbin Zhao

  5. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

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Tang, X., Chu, L., Xu, N., Zhao, D., Xu, Z. (2017). Energy Management of Planetary Gear Hybrid Electric Vehicle Based on Improved Dynamic Programming. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10639. Springer, Cham. https://doi.org/10.1007/978-3-319-70136-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-70136-3_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70135-6

  • Online ISBN: 978-3-319-70136-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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