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Battery electric vehicles: What is the minimum range required?

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  • Shi, Xiao
  • Pan, Jian
  • Wang, Hewu
  • Cai, Hua

Abstract

Identifying the battery range needs at the individual level is critical to enhance our understanding of the environmental benefits and electricity grid load impacts from large-scale battery electric vehicle (BEV) adoption, and inform policy decision making for charging infrastructure development and BEV system deployment. However, two research gaps exist in existing research: neglecting the use of public charging stations and lacking a model to identify the minimum battery ranges required to fulfill all the travel demands of a vehicle at the individual level. This study fills these gaps by developing an optimization model to identify the minimum required BEV battery ranges at the individual level, using real world vehicle travel data and charging station location information. Based on our case study of taxis and private vehicles in Beijing, China, the results show that: 1) with home charging and the existing public charging infrastructure, it is feasible to use existing BEV models to replace a significant portion of gasoline vehicles without sacrificing individual mobility needs; 2) battery technologies are unlikely to be the major bottleneck to BEV adoption; and 3) increase the service range of charging infrastructures can reduce the minimum required battery ranges, but function substitutions will need to be considered.

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  • Shi, Xiao & Pan, Jian & Wang, Hewu & Cai, Hua, 2019. "Battery electric vehicles: What is the minimum range required?," Energy, Elsevier, vol. 166(C), pages 352-358.
    • Handle: RePEc:eee:energy:v:166:y:2019:i:c:p:352-358
    DOI: 10.1016/j.energy.2018.10.056
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    1. Egbue, Ona & Long, Suzanna, 2012. "Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions," Energy Policy, Elsevier, vol. 48(C), pages 717-729.
    2. Kelly, Jarod C. & MacDonald, Jason S. & Keoleian, Gregory A., 2012. "Time-dependent plug-in hybrid electric vehicle charging based on national driving patterns and demographics," Applied Energy, Elsevier, vol. 94(C), pages 395-405.
    3. Khan, Mobashwir & Kockelman, Kara M., 2012. "Predicting the market potential of plug-in electric vehicles using multiday GPS data," Energy Policy, Elsevier, vol. 46(C), pages 225-233.
    4. Wang, Hewu & Zhang, Xiaobin & Ouyang, Minggao, 2015. "Energy consumption of electric vehicles based on real-world driving patterns: A case study of Beijing," Applied Energy, Elsevier, vol. 157(C), pages 710-719.
    5. Tie, Siang Fui & Tan, Chee Wei, 2013. "A review of energy sources and energy management system in electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 82-102.
    6. Michael K. Lim & Ho-Yin Mak & Ying Rong, 2015. "Toward Mass Adoption of Electric Vehicles: Impact of the Range and Resale Anxieties," Manufacturing & Service Operations Management, INFORMS, vol. 17(1), pages 101-119, February.
    7. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    8. He, Xiaoyi & Wu, Ye & Zhang, Shaojun & Tamor, Michael A. & Wallington, Timothy J. & Shen, Wei & Han, Weijian & Fu, Lixin & Hao, Jiming, 2016. "Individual trip chain distributions for passenger cars: Implications for market acceptance of battery electric vehicles and energy consumption by plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 180(C), pages 650-660.
    9. Salpakari, Jyri & Rasku, Topi & Lindgren, Juuso & Lund, Peter D., 2017. "Flexibility of electric vehicles and space heating in net zero energy houses: an optimal control model with thermal dynamics and battery degradation," Applied Energy, Elsevier, vol. 190(C), pages 800-812.
    10. He, Fang & Yin, Yafeng & Lawphongpanich, Siriphong, 2014. "Network equilibrium models with battery electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 306-319.
    11. Troy R. Hawkins & Bhawna Singh & Guillaume Majeau‐Bettez & Anders Hammer Strømman, 2013. "Comparative Environmental Life Cycle Assessment of Conventional and Electric Vehicles," Journal of Industrial Ecology, Yale University, vol. 17(1), pages 53-64, February.
    12. Xu, Min & Meng, Qiang & Liu, Kai & Yamamoto, Toshiyuki, 2017. "Joint charging mode and location choice model for battery electric vehicle users," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 68-86.
    13. Shokrzadeh, Shahab & Bibeau, Eric, 2016. "Sustainable integration of intermittent renewable energy and electrified light-duty transportation through repurposing batteries of plug-in electric vehicles," Energy, Elsevier, vol. 106(C), pages 701-711.
    Full references (including those not matched with items on IDEAS)

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    12. Zhao, Yinan & Wen, Yifan & Wang, Fang & Tu, Wei & Zhang, Shaojun & Wu, Ye & Hao, Jiming, 2023. "Feasibility, economic and carbon reduction benefits of ride-hailing vehicle electrification by coupling travel trajectory and charging infrastructure data," Applied Energy, Elsevier, vol. 342(C).
    13. Shiqi Ou & Rujie Yu & Zhenhong Lin & Huanhuan Ren & Xin He & Steven Przesmitzki & Jessey Bouchard, 2020. "Intensity and daily pattern of passenger vehicle use by region and class in China: estimation and implications for energy use and electrification," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(3), pages 307-327, March.
    14. Madhusudhan Adhikari & Laxman Prasad Ghimire & Yeonbae Kim & Prakash Aryal & Sundar Bahadur Khadka, 2020. "Identification and Analysis of Barriers against Electric Vehicle Use," Sustainability, MDPI, vol. 12(12), pages 1-20, June.
    15. Tang, Yanyan & Zhang, Qi & Wen, Zongguo & Bunn, Derek & Martin, Jesus Nieto, 2022. "Optimal analysis for facility configuration and energy management on electric light commercial vehicle charging," Energy, Elsevier, vol. 246(C).

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