IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v179y2023ics1364032123001247.html
   My bibliography  Save this article

Automotive platoon energy-saving: A review

Author

Listed:
  • Pi, Dawei
  • Xue, Pengyu
  • Wang, Weihua
  • Xie, Boyuan
  • Wang, Hongliang
  • Wang, Xianhui
  • Yin, Guodong

Abstract

With the intensification of the greenhouse effect, carbon neutrality has become a global goal. The development of vehicle platoons provides a new idea for energy saving and emission reduction. To explore the practical application prospect of vehicle platoon energy-saving methods and reveal the limitations and improvement direction of current vehicle platoon research, this paper reviews the current research status of vehicle platoon energy-saving methods and analyzes the energy-saving method. The energy-saving methods are summarized from aerodynamic and vehicle speed optimization perspectives. Energy-saving methods based on aerodynamics include field tests, wind-tunnel tests, and CFD. Energy-saving methods based on vehicle speed optimization mainly focus on the acceleration and deceleration behavior optimization of vehicles in the platoon. The limitations and prospects of automotive and vehicle platoon development are also put forward.

Suggested Citation

  • Pi, Dawei & Xue, Pengyu & Wang, Weihua & Xie, Boyuan & Wang, Hongliang & Wang, Xianhui & Yin, Guodong, 2023. "Automotive platoon energy-saving: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    • Handle: RePEc:eee:rensus:v:179:y:2023:i:c:s1364032123001247
    DOI: 10.1016/j.rser.2023.113268
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032123001247
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2023.113268?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Feiqi & Zhao, Fuquan & Liu, Zongwei & Hao, Han, 2019. "Can autonomous vehicle reduce greenhouse gas emissions? A country-level evaluation," Energy Policy, Elsevier, vol. 132(C), pages 462-473.
    2. Greenblatt, Jeffery & Shaheen, Susan PhD, 2015. "Automated Vehicles, On-Demand Mobility and Environmental Impacts," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt23r1h80t, Institute of Transportation Studies, UC Berkeley.
    3. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    4. Fox-Penner, Peter & Gorman, Will & Hatch, Jennifer, 2018. "Long-term U.S transportation electricity use considering the effect of autonomous-vehicles: Estimates & policy observations," Energy Policy, Elsevier, vol. 122(C), pages 203-213.
    5. Yuan, Xueliang & Liu, Xin & Zuo, Jian, 2015. "The development of new energy vehicles for a sustainable future: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 298-305.
    6. Giampieri, A. & Ling-Chin, J. & Ma, Z. & Smallbone, A. & Roskilly, A.P., 2020. "A review of the current automotive manufacturing practice from an energy perspective," Applied Energy, Elsevier, vol. 261(C).
    7. Linan Zhang & Yizhe Wang & Huaizhong Zhu, 2022. "Theory and Experiment of Cooperative Control at Multi-Intersections in Intelligent Connected Vehicle Environment: Review and Perspectives," Sustainability, MDPI, vol. 14(3), pages 1-19, January.
    8. Yu, Feifei & Wang, Liting & Li, Xiaotong, 2020. "The effects of government subsidies on new energy vehicle enterprises: The moderating role of intelligent transformation," Energy Policy, Elsevier, vol. 141(C).
    9. Zabat, Michael & Stabile, Nick & Farascaroli, Stefano & Browand, Frederick, 1995. "The Aerodynamic Performance Of Platoons: A Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8ph187fw, Institute of Transportation Studies, UC Berkeley.
    10. Chen, Yuche & Gonder, Jeffrey & Young, Stanley & Wood, Eric, 2019. "Quantifying autonomous vehicles national fuel consumption impacts: A data-rich approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 134-145.
    11. Bi, Huibo & Shang, Wen-Long & Chen, Yanyan & Wang, Kezhi & Yu, Qing & Sui, Yi, 2021. "GIS aided sustainable urban road management with a unifying queueing and neural network model," Applied Energy, Elsevier, vol. 291(C).
    12. Diamond, David, 2009. "The impact of government incentives for hybrid-electric vehicles: Evidence from US states," Energy Policy, Elsevier, vol. 37(3), pages 972-983, March.
    13. He, Z.C. & Kang, H. & Li, Eric & Zhou, E.L. & Cheng, H.T. & Huang, Y.Y., 2022. "Coordinated control of heterogeneous vehicle platoon stability and energy-saving control strategies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    14. Zhang, Hao & Cai, Guixin, 2020. "Subsidy strategy on new-energy vehicle based on incomplete information: A Case in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    15. Ma, Fangwu & Yang, Yu & Wang, Jiawei & Liu, Zhenze & Li, Jinhang & Nie, Jiahong & Shen, Yucheng & Wu, Liang, 2019. "Predictive energy-saving optimization based on nonlinear model predictive control for cooperative connected vehicles platoon with V2V communication," Energy, Elsevier, vol. 189(C).
    16. Yu, Wei & Wang, Ruochen, 2019. "Development and performance evaluation of a comprehensive automotive energy recovery system with a refined energy management strategy," Energy, Elsevier, vol. 189(C).
    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. Ren, Wenhao & Zhao, Xiaohua & Li, Haijian & Fu, Qiang, 2024. "Traffic flow impact of mixed heterogeneous platoons on highways: an approach combining driving simulation and microscopic traffic simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).
    2. Chiaramonti, David & Testa, Lorenzo, 2024. "Deploying EU biomethane potential for transports: Centralized/decentralized biogasrefinery schemes to SAF and maritime fuels," Applied Energy, Elsevier, vol. 366(C).
    3. Jiang, Chenming & Yin, Shicong & Yao, Zhihong & He, Junliang & Jiang, Rui & Jiang, Yu, 2024. "Safety evaluation of mixed traffic flow with truck platoons equipped with (cooperative) adaptive cruise control, stochastic human-driven cars and trucks on port freeways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).

    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. Moneim Massar & Imran Reza & Syed Masiur Rahman & Sheikh Muhammad Habib Abdullah & Arshad Jamal & Fahad Saleh Al-Ismail, 2021. "Impacts of Autonomous Vehicles on Greenhouse Gas Emissions—Positive or Negative?," IJERPH, MDPI, vol. 18(11), pages 1-23, May.
    2. Morteza Taiebat & Austin L. Brown & Hannah R. Safford & Shen Qu & Ming Xu, 2019. "A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles," Papers 1901.10581, arXiv.org, revised Feb 2019.
    3. Liu, Feiqi & Zhao, Fuquan & Liu, Zongwei & Hao, Han, 2019. "Can autonomous vehicle reduce greenhouse gas emissions? A country-level evaluation," Energy Policy, Elsevier, vol. 132(C), pages 462-473.
    4. Martin Adler & Stefanie Peer & Tanja Sinozic, 2019. "Autonomous, Connected, Electric Shared vehicles (ACES) and public finance: an explorative analysis," Tinbergen Institute Discussion Papers 19-005/VIII, Tinbergen Institute.
    5. Yu, Zhen & Wang, Yilan & Ma, Xiaoqian & Shuai, Chuanmin & Zhao, Yujia, 2023. "How critical mineral supply security affects China NEVs industry? Based on a prediction for chromium and cobalt in 2030," Resources Policy, Elsevier, vol. 85(PB).
    6. Roberto Battistini & Luca Mantecchini & Maria Nadia Postorino, 2020. "Users’ Acceptance of Connected and Automated Shuttles for Tourism Purposes: A Survey Study," Sustainability, MDPI, vol. 12(23), pages 1-17, December.
    7. Lin, Boqiang & Tan, Ruipeng, 2017. "Estimation of the environmental values of electric vehicles in Chinese cities," Energy Policy, Elsevier, vol. 104(C), pages 221-229.
    8. Sovacool, Benjamin K. & Griffiths, Steve, 2020. "The cultural barriers to a low-carbon future: A review of six mobility and energy transitions across 28 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    9. Nadafianshahamabadi, Razieh & Tayarani, Mohammad & Rowangould, Gregory, 2021. "A closer look at urban development under the emergence of autonomous vehicles: Traffic, land use and air quality impacts," Journal of Transport Geography, Elsevier, vol. 94(C).
    10. Laura Heubeck & Franziska Hartwich & Franziska Bocklisch, 2023. "To Share or Not to Share—Expected Transportation Mode Changes Given Different Types of Fully Automated Vehicles," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    11. Zhu, Lijing & Wang, Jingzhou & Farnoosh, Arash & Pan, Xunzhang, 2022. "A game-theory analysis of electric vehicle adoption in Beijing under license plate control policy," Energy, Elsevier, vol. 244(PA).
    12. Wu, Zezhou & He, Qiufeng & Li, Jiarun & Bi, Guoqiang & Antwi-Afari, Maxwell Fordjour, 2023. "Public attitudes and sentiments towards new energy vehicles in China: A text mining approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    13. Pan, Yuchen & Wu, Yu & Xu, Lu & Xia, Chengyi & Olson, David L., 2024. "The impacts of connected autonomous vehicles on mixed traffic flow: A comprehensive review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).
    14. Karol Tucki, 2021. "A Computer Tool for Modelling CO 2 Emissions in Driving Tests for Vehicles with Diesel Engines," Energies, MDPI, vol. 14(2), pages 1-30, January.
    15. Hsiao, Cody Yu-Ling & Yang, Rui & Zheng, Xin & Chiu, Yi-Bin, 2023. "Evaluations of policy contagion for new energy vehicle industry in China," Energy Policy, Elsevier, vol. 173(C).
    16. Tanvi Maheshwari & Kay W. Axhausen, 2021. "How Will the Technological Shift in Transportation Impact Cities? A Review of Quantitative Studies on the Impacts of New Transportation Technologies," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    17. Lane, Bradley W., 2019. "Revisiting ‘An unpopular essay on transportation:’ The outcomes of old myths and the implications of new technologies for the sustainability of transport," Journal of Transport Geography, Elsevier, vol. 81(C).
    18. Liu, Bingchun & Song, Chengyuan & Wang, Qingshan & Zhang, Xinming & Chen, Jiali, 2022. "Research on regional differences of China's new energy vehicles promotion policies: A perspective of sales volume forecasting," Energy, Elsevier, vol. 248(C).
    19. Han, Jing & Guo, Ju-E & Cai, Xun & Lv, Cheng & Lev, Benjamin, 2022. "An analysis on strategy evolution of research & development in cooperative innovation network of new energy vehicle within policy transition period," Omega, Elsevier, vol. 112(C).
    20. Ishant Sharma & Sabyasachee Mishra, 2023. "Ranking preferences towards adopting autonomous vehicles based on peer inputs and advertisements," Transportation, Springer, vol. 50(6), pages 2139-2192, December.

    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:eee:rensus:v:179:y:2023:i:c:s1364032123001247. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.