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Plug-in hybrid electric vehicles: How individual movement patterns affect battery requirements, the potential to replace conventional fuels, and economic viability

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  • Björnsson, Lars-Henrik
  • Karlsson, Sten

Abstract

Using GPS data logged for a representative sample of individual vehicles in private use, we assess the viability of plug-in hybrid electric vehicles (PHEVs) in Sweden for a wide range of techno-economic conditions. We determine requirements for PHEVs with the aid of a simple parameterization used to analyze the GPS data covering number of trips, driving distance per trip, and parking times, logged for 30days or longer, for 432 conventional Swedish cars.

Suggested Citation

  • Björnsson, Lars-Henrik & Karlsson, Sten, 2015. "Plug-in hybrid electric vehicles: How individual movement patterns affect battery requirements, the potential to replace conventional fuels, and economic viability," Applied Energy, Elsevier, vol. 143(C), pages 336-347.
    • Handle: RePEc:eee:appene:v:143:y:2015:i:c:p:336-347
    DOI: 10.1016/j.apenergy.2015.01.041
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    Cited by:

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    4. Li, Lin & Dababneh, Fadwa & Zhao, Jing, 2018. "Cost-effective supply chain for electric vehicle battery remanufacturing," Applied Energy, Elsevier, vol. 226(C), pages 277-286.
    5. Plötz, Patrick & Jakobsson, Niklas & Sprei, Frances, 2017. "On the distribution of individual daily driving distances," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 213-227.
    6. Wolff, Stefanie & Madlener, Reinhard, 2020. "Willing to Pay? Spatial Heterogeneity of e-Vehicle Charging Preferences in Germany," FCN Working Papers 9/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    7. Sodenkamp, Mariya & Wenig, Jürgen & Thiesse, Frédéric & Staake, Thorsten, 2019. "Who can drive electric? Segmentation of car drivers based on longitudinal GPS travel data," Energy Policy, Elsevier, vol. 130(C), pages 111-129.
    8. Mandev, Ahmet & Plötz, Patrick & Sprei, Frances & Tal, Gil, 2022. "Empirical charging behavior of plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 321(C).
    9. Fajar Nurrohman Haryadi & Arionmaro Asi Simaremare & Shochrul Rohmatul Rohmatul & Dzikri Firmansyah Hakam & Kevin Gausultan Hadith Mangunkusumo, 2023. "Investigating the Impact of Key Factors on Electric/Electric-Vehicle Charging Station Adoption in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 13(3), pages 434-442, May.
    10. Tu, Wei & Santi, Paolo & Zhao, Tianhong & He, Xiaoyi & Li, Qingquan & Dong, Lei & Wallington, Timothy J. & Ratti, Carlo, 2019. "Acceptability, energy consumption, and costs of electric vehicle for ride-hailing drivers in Beijing," Applied Energy, Elsevier, vol. 250(C), pages 147-160.
    11. Hartvigsson, Elias & Taljegard, Maria & Odenberger, Mikael & Chen, Peiyuan, 2022. "A large-scale high-resolution geographic analysis of impacts of electric vehicle charging on low-voltage grids," Energy, Elsevier, vol. 261(PA).
    12. Zhou, Yue & Wen, Ruoxi & Wang, Hewu & Cai, Hua, 2020. "Optimal battery electric vehicles range: A study considering heterogeneous travel patterns, charging behaviors, and access to charging infrastructure," Energy, Elsevier, vol. 197(C).
    13. Khaleghikarahrodi, Mehrsa & Macht, Gretchen A., 2023. "Patterns, no patterns, that is the question: Quantifying users’ electric vehicle charging," Transport Policy, Elsevier, vol. 141(C), pages 291-304.
    14. Mahmoudzadeh Andwari, Amin & Pesiridis, Apostolos & Rajoo, Srithar & Martinez-Botas, Ricardo & Esfahanian, Vahid, 2017. "A review of Battery Electric Vehicle technology and readiness levels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 414-430.

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