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Merging mobility and energy vision with hybrid electric vehicles and vehicle infrastructure integration

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  • He, Yiming
  • Chowdhury, Mashrur
  • Ma, Yongchang
  • Pisu, Pierluigi

Abstract

As the U.S. federal government is seeking useful applications of Vehicle-Infrastructure Integration (VII) and encouraging a greener and more efficient automobile industry, this paper demonstrated a path to meet the national transportation goal via VII. An impact study was conducted in a midsize U.S. metropolitan area on the potential of utilizing VII communication in Hybrid Electric Vehicle (HEV) operations by simulating a VII-enabled vehicle framework for both conventional HEV and Plug-in Hybrid Electric Vehicles (PHEV). The data collection and communication capability of the VII system allowed the prediction of speed profiles at the vehicle level with an average error rate of 13.2%. With the prediction, at the individual vehicle level, VII technology allowed PHEV and HEV to achieve additional benefits with an approximately 3% decrease in total energy consumption and emission. At the network level, the benefit–cost analysis indicated that the benefit–cost ratios for PHEV and HEV of the VII vehicle network exceed one at the fleet penetration rate of 20% and 30%, respectively. Our findings encourage to support public and private investments in VII infrastructure and its integration with HEV and PHEV in order to reap the increased energy savings from these vehicles.

Suggested Citation

  • He, Yiming & Chowdhury, Mashrur & Ma, Yongchang & Pisu, Pierluigi, 2012. "Merging mobility and energy vision with hybrid electric vehicles and vehicle infrastructure integration," Energy Policy, Elsevier, vol. 41(C), pages 599-609.
  • Handle: RePEc:eee:enepol:v:41:y:2012:i:c:p:599-609
    DOI: 10.1016/j.enpol.2011.11.021
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    References listed on IDEAS

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    3. Sioshansi, Ramteen & Fagiani, Riccardo & Marano, Vincenzo, 2010. "Cost and emissions impacts of plug-in hybrid vehicles on the Ohio power system," Energy Policy, Elsevier, vol. 38(11), pages 6703-6712, November.
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    Cited by:

    1. J.I. Guerrero & Enrique Personal & Antonio García & Antonio Parejo & Francisco Pérez & Carlos León, 2019. "Distributed Charging Prioritization Methodology Based on Evolutionary Computation and Virtual Power Plants to Integrate Electric Vehicle Fleets on Smart Grids," Energies, MDPI, vol. 12(12), pages 1-22, June.
    2. Lin Ma & Yuefan Zhai & Tian Wu, 2019. "Operating Charging Infrastructure in China to Achieve Sustainable Transportation: The Choice between Company-Owned and Franchised Structures," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
    3. Tian Wu & Bohan Zeng & Yali He & Xin Tian & Xunmin Ou, 2017. "Sustainable Governance for the Opened Electric Vehicle Charging and Upgraded Facilities Market," Sustainability, MDPI, vol. 9(11), pages 1-22, November.
    4. Geetanjli Rani & Devender Kumar Saini, 2023. "Need of Integrated Regional Planning Approach for the Decentralisation and Optimisation of Renewable Energy Based Electric Vehicle Infrastructure: A Comprehensive Visualisation," Sustainability, MDPI, vol. 15(18), pages 1-27, September.
    5. Poullikkas, Andreas, 2015. "Sustainable options for electric vehicle technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1277-1287.

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