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Architectures of Planetary Hybrid Powertrain System: Review, Classification and Comparison

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  • Lihua Wang

    (School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Yahui Cui

    (School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Fengqi Zhang

    (School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China
    Key laboratory of Shaanxi Province for Development and Application of New Transportation, Chang ’an University, Xi’an 710064, China)

  • Guanglei Li

    (School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China)

Abstract

Increasing environmental issues and energy crises led to rapid developments of hybrid electric vehicles, especially the planetary hybrid powertrain system (PHPS). This paper presents a comprehensive review of the PHPS, focusing primarily on contributions in the aspect of configuration, classification and comparison. In this work, a new classification method for PHPS architectures is proposed according to the number of electric motors (EMs). In addition, two kinds of PHPS, in the new classification framework, are extensively emphasized in terms of its architectures, advantages and disadvantages. Furthermore, the port diagrams of representative architectures are presented to provide an intuitive method for power flow representation. Finally, a conclusion is made to provide an insight for developing PHPS as well.

Suggested Citation

  • Lihua Wang & Yahui Cui & Fengqi Zhang & Guanglei Li, 2020. "Architectures of Planetary Hybrid Powertrain System: Review, Classification and Comparison," Energies, MDPI, vol. 13(2), pages 1-24, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:329-:d:306901
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    1. Yan Zhou & Michael Wang & Han Hao & Larry Johnson & Hewu Wang & Han Hao, 2015. "Plug-in electric vehicle market penetration and incentives: a global review," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(5), pages 777-795, June.
    2. Schafer, Andreas & Victor, David G., 2000. "The future mobility of the world population," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(3), pages 171-205, April.
    3. Hannan, M.A. & Azidin, F.A. & Mohamed, A., 2014. "Hybrid electric vehicles and their challenges: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 135-150.
    4. Wee, Jung-Ho, 2010. "Contribution of fuel cell systems to CO2 emission reduction in their application fields," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 735-744, February.
    5. Sadeghinezhad, E. & Kazi, S.N. & Badarudin, A. & Oon, C.S. & Zubir, M.N.M. & Mehrali, Mohammad, 2013. "A comprehensive review of bio-diesel as alternative fuel for compression ignition engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 410-424.
    6. M. Sabri, M.F. & Danapalasingam, K.A. & Rahmat, M.F., 2016. "A review on hybrid electric vehicles architecture and energy management strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1433-1442.
    7. Qin, Zhaobo & Luo, Yugong & Zhuang, Weichao & Pan, Ziheng & Li, Keqiang & Peng, Huei, 2018. "Simultaneous optimization of topology, control and size for multi-mode hybrid tracked vehicles," Applied Energy, Elsevier, vol. 212(C), pages 1627-1641.
    8. Yang, Yalian & Hu, Xiaosong & Pei, Huanxin & Peng, Zhiyuan, 2016. "Comparison of power-split and parallel hybrid powertrain architectures with a single electric machine: Dynamic programming approach," Applied Energy, Elsevier, vol. 168(C), pages 683-690.
    9. González Palencia, Juan C. & Sakamaki, Tsukasa & Araki, Mikiya & Shiga, Seiichi, 2015. "Impact of powertrain electrification, vehicle size reduction and lightweight materials substitution on energy use, CO2 emissions and cost of a passenger light-duty vehicle fleet," Energy, Elsevier, vol. 93(P2), pages 1489-1504.
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    1. Chun-Hsin Chang & Hsuan-Yung Chang & Yi-Hsuan Hung & Chien-Hsun Wu & Ji-Jia Xu, 2020. "System Designs and Experimental Assessment of a Seven-Mode Vehicle-Oriented Hybrid Powertrain Platform," Energies, MDPI, vol. 13(8), pages 1-20, April.

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