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Research on Double Fuzzy Control Strategy for Parallel Hybrid Electric Bus

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Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration (ICSEE 2017, LSMS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 763))

Abstract

In this paper, a double fuzzy control strategy (DFLS) for parallel hybrid electric bus (HEB) is proposed. Firstly, the basic parameters of HEB is designed. Then, the single fuzzy logic control strategy (SFLS) is proposed based on the parameters. SOC and torque demand scale factor are taken as the input of fuzzy controller. Combining with the braking energy recovery strategy, this paper proposes a double fuzzy control strategy, which is taken SOC, required torque and bus speed as the input. And this paper makes a comparison of the both strategies in Chinese Bus Driving Cycle (CBDC) based on the simulation results.

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Author information

Authors and Affiliations

  1. State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China

    Qiwei Xu, Xiaoxiao Luo, Xiaobiao Jiang & Meng Zhao

Authors
  1. Qiwei Xu
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  2. Xiaoxiao Luo
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  3. Xiaobiao Jiang
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  4. Meng Zhao
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Corresponding author

Correspondence to Qiwei Xu .

Editor information

Editors and Affiliations

  1. Queen’s University Belfast, Belfast, United Kingdom

    Kang Li

  2. Nanjing Automation Research Institute, Nanjing, China

    Yusheng Xue

  3. Harbin Institute of Technology, Harbin, China

    Shumei Cui

  4. Shanghai University, Shanghai, China

    Qun Niu

  5. Queen’s University Belfast, Belfast, United Kingdom

    Zhile Yang

  6. Cranfield University, Bedford, United Kingdom

    Patrick Luk

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© 2017 Springer Nature Singapore Pte Ltd.

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Xu, Q., Luo, X., Jiang, X., Zhao, M. (2017). Research on Double Fuzzy Control Strategy for Parallel Hybrid Electric Bus. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 763. Springer, Singapore. https://doi.org/10.1007/978-981-10-6364-0_36

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  • DOI: https://doi.org/10.1007/978-981-10-6364-0_36

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6363-3

  • Online ISBN: 978-981-10-6364-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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