IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i2p329-d306901.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/2/329/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/2/329/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    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. 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.
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhuang, Weichao & Li (Eben), Shengbo & Zhang, Xiaowu & Kum, Dongsuk & Song, Ziyou & Yin, Guodong & Ju, Fei, 2020. "A survey of powertrain configuration studies on hybrid electric vehicles," Applied Energy, Elsevier, vol. 262(C).
    2. Zhao, Chen & Zu, Bingfeng & Xu, Yuliang & Wang, Zhen & Zhou, Jianwei & Liu, Lina, 2020. "Design and analysis of an engine-start control strategy for a single-shaft parallel hybrid electric vehicle," Energy, Elsevier, vol. 202(C).
    3. Baodi Zhang & Fuyuan Yang & Lan Teng & Minggao Ouyang & Kunfang Guo & Weifeng Li & Jiuyu Du, 2019. "Comparative Analysis of Technical Route and Market Development for Light-Duty PHEV in China and the US," Energies, MDPI, vol. 12(19), pages 1-23, September.
    4. Yu, Xiao & Sandhu, Navjot S. & Yang, Zhenyi & Zheng, Ming, 2020. "Suitability of energy sources for automotive application – A review," Applied Energy, Elsevier, vol. 271(C).
    5. Das, Himadry Shekhar & Tan, Chee Wei & Yatim, A.H.M., 2017. "Fuel cell hybrid electric vehicles: A review on power conditioning units and topologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 268-291.
    6. Wang, Bin & Xu, Jun & Cao, Binggang & Ning, Bo, 2017. "Adaptive mode switch strategy based on simulated annealing optimization of a multi-mode hybrid energy storage system for electric vehicles," Applied Energy, Elsevier, vol. 194(C), pages 596-608.
    7. Du, Guodong & Zou, Yuan & Zhang, Xudong & Kong, Zehui & Wu, Jinlong & He, Dingbo, 2019. "Intelligent energy management for hybrid electric tracked vehicles using online reinforcement learning," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    8. Rahman, Imran & Vasant, Pandian M. & Singh, Balbir Singh Mahinder & Abdullah-Al-Wadud, M. & Adnan, Nadia, 2016. "Review of recent trends in optimization techniques for plug-in hybrid, and electric vehicle charging infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1039-1047.
    9. Anselma, Pier Giuseppe, 2022. "Computationally efficient evaluation of fuel and electrical energy economy of plug-in hybrid electric vehicles with smooth driving constraints," Applied Energy, Elsevier, vol. 307(C).
    10. Xiangyang Xu & Xiaoxiao Wu & Mick Jordan & Peng Dong & Yang Liu, 2018. "Coordinated Engine-Start Control of Single-Motor P2 Hybrid Electric Vehicles with Respect to Different Driving Situations," Energies, MDPI, vol. 11(1), pages 1-23, January.
    11. Wei, Changyin & Sun, Xiuxiu & Chen, Yong & Zang, Libin & Bai, Shujie, 2021. "Comparison of architecture and adaptive energy management strategy for plug-in hybrid electric logistics vehicle," Energy, Elsevier, vol. 230(C).
    12. Zhou, Jianhao & Xue, Yuan & Xu, Da & Li, Chaoxiong & Zhao, Wanzhong, 2022. "Self-learning energy management strategy for hybrid electric vehicle via curiosity-inspired asynchronous deep reinforcement learning," Energy, Elsevier, vol. 242(C).
    13. Mayyas, Abdel Ra'ouf & Kumar, Sushil & Pisu, Pierluigi & Rios, Jacqueline & Jethani, Puneet, 2017. "Model-based design validation for advanced energy management strategies for electrified hybrid power trains using innovative vehicle hardware in the loop (VHIL) approach," Applied Energy, Elsevier, vol. 204(C), pages 287-302.
    14. Xiao, B. & Ruan, J. & Yang, W. & Walker, P.D. & Zhang, N., 2021. "A review of pivotal energy management strategies for extended range electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    15. Maino, Claudio & Misul, Daniela & Musa, Alessia & Spessa, Ezio, 2021. "Optimal mesh discretization of the dynamic programming for hybrid electric vehicles," Applied Energy, Elsevier, vol. 292(C).
    16. Gaizka Saldaña & Jose Ignacio San Martin & Inmaculada Zamora & Francisco Javier Asensio & Oier Oñederra, 2019. "Electric Vehicle into the Grid: Charging Methodologies Aimed at Providing Ancillary Services Considering Battery Degradation," Energies, MDPI, vol. 12(12), pages 1-37, June.
    17. González Palencia, Juan C. & Otsuka, Yuki & Araki, Mikiya & Shiga, Seiichi, 2017. "Scenario analysis of lightweight and electric-drive vehicle market penetration in the long-term and impact on the light-duty vehicle fleet," Applied Energy, Elsevier, vol. 204(C), pages 1444-1462.
    18. Zhang, Yahui & Wei, Zeyi & Wang, Zhong & Tian, Yang & Wang, Jizhe & Tian, Zhikun & Xu, Fuguo & Jiao, Xiaohong & Li, Liang & Wen, Guilin, 2024. "Hierarchical eco-driving control strategy for connected automated fuel cell hybrid vehicles and scenario-/hardware-in-the loop validation," Energy, Elsevier, vol. 292(C).
    19. Xie, Peng & Jin, Lu & Qiao, Geng & Lin, Cheng & Barreneche, Camila & Ding, Yulong, 2022. "Thermal energy storage for electric vehicles at low temperatures: Concepts, systems, devices and materials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    20. Anselma, Pier Giuseppe & Biswas, Atriya & Belingardi, Giovanni & Emadi, Ali, 2020. "Rapid assessment of the fuel economy capability of parallel and series-parallel hybrid electric vehicles," Applied Energy, Elsevier, vol. 275(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:329-:d:306901. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.