IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i13p4054-d588899.html
   My bibliography  Save this article

Optimization and Coordination of Electric Vehicle Charging Process for Long-Distance Trips

Author

Listed:
  • Jean Hassler

    (Laboratoire de Génie Electrique et Electronique de Paris, Sorbonne Université, CNRS, 75252 Paris, France
    Groupe PSA, Route de Gisy, 78140 Vélizy-Villacoublay, France
    Laboratoire de Génie Electrique et Electronique de Paris, Université Paris-Saclay, CentraleSupélec, CNRS, 91192 Gif-sur-Yvette, France)

  • Zlatina Dimitrova

    (Groupe PSA, Route de Gisy, 78140 Vélizy-Villacoublay, France)

  • Marc Petit

    (Laboratoire de Génie Electrique et Electronique de Paris, Sorbonne Université, CNRS, 75252 Paris, France
    Laboratoire de Génie Electrique et Electronique de Paris, Université Paris-Saclay, CentraleSupélec, CNRS, 91192 Gif-sur-Yvette, France)

  • Philippe Dessante

    (Laboratoire de Génie Electrique et Electronique de Paris, Sorbonne Université, CNRS, 75252 Paris, France
    Laboratoire de Génie Electrique et Electronique de Paris, Université Paris-Saclay, CentraleSupélec, CNRS, 91192 Gif-sur-Yvette, France)

Abstract

Battery electric vehicles offer many advantages in terms of performance and zero-emission pollutants, but their limited range for long-distance trips compromises their large-scale market penetration. The problem of range can be solved with a dense network of fast-charging stations and an increase in embedded battery capacity. Simultaneously, improvements in high-power charging point units offer range gains of hundreds of kilometers in a mere 20 min. One risk remains: The travel time depends on the availability of charging stations, which can drop during rush hours, due to long queues, or power grid constraints. These situations could significantly affect the user experience. In this paper, we presented an approach to coordinate EV charging station choices in the case of long-distance trips. This system relies on vehicle-to-infrastructure communications (V2X). The objective is to enhance the use of the infrastructure by improving the distribution of vehicles between the different charging stations, thus reducing waiting time. Our target is to build an efficient and easily deployable system. The performance of this system is compared to an uncoordinated situation and an offline optimization. We conducted a case study on a 550-km highway with heavy traffic. With this system, the results showed a 10% reduction in time spent in charging stations.

Suggested Citation

  • Jean Hassler & Zlatina Dimitrova & Marc Petit & Philippe Dessante, 2021. "Optimization and Coordination of Electric Vehicle Charging Process for Long-Distance Trips," Energies, MDPI, vol. 14(13), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:4054-:d:588899
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/13/4054/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/13/4054/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Funke, Simon Árpád & Plötz, Patrick & Wietschel, Martin, 2019. "Invest in fast-charging infrastructure or in longer battery ranges? A cost-efficiency comparison for Germany," Applied Energy, Elsevier, vol. 235(C), pages 888-899.
    2. Bogdan Ovidiu Varga & Arsen Sagoian & Florin Mariasiu, 2019. "Prediction of Electric Vehicle Range: A Comprehensive Review of Current Issues and Challenges," Energies, MDPI, vol. 12(5), pages 1-19, March.
    3. Solaymani, Saeed, 2019. "CO2 emissions patterns in 7 top carbon emitter economies: The case of transport sector," Energy, Elsevier, vol. 168(C), pages 989-1001.
    4. Borne, Olivier & Perez, Yannick & Petit, Marc, 2018. "Market integration or bids granularity to enhance flexibility provision by batteries of electric vehicles," Energy Policy, Elsevier, vol. 119(C), pages 140-148.
    5. Faria, Ricardo & Marques, Pedro & Moura, Pedro & Freire, Fausto & Delgado, Joaquim & de Almeida, Aníbal T., 2013. "Impact of the electricity mix and use profile in the life-cycle assessment of electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 271-287.
    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. Matteo Ravasio & Gian Paolo Incremona & Patrizio Colaneri & Andrea Dolcini & Piero Moia, 2021. "Distributed Nonlinear AIMD Algorithms for Electric Bus Charging Plants," Energies, MDPI, vol. 14(15), pages 1-17, July.

    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. Fescioglu-Unver, Nilgun & Yıldız Aktaş, Melike, 2023. "Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    2. Lauvergne, Rémi & Perez, Yannick & Françon, Mathilde & Tejeda De La Cruz, Alberto, 2022. "Integration of electric vehicles into transmission grids: A case study on generation adequacy in Europe in 2040," Applied Energy, Elsevier, vol. 326(C).
    3. Stančin, H. & Mikulčić, H. & Wang, X. & Duić, N., 2020. "A review on alternative fuels in future energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    4. Yashraj Tripathy & Andrew McGordon & Anup Barai, 2020. "Improving Accessible Capacity Tracking at Low Ambient Temperatures for Range Estimation of Battery Electric Vehicles," Energies, MDPI, vol. 13(8), pages 1-18, April.
    5. Junjie Wang & Yuan Li & Yi Zhang, 2022. "Research on Carbon Emissions of Road Traffic in Chengdu City Based on a LEAP Model," Sustainability, MDPI, vol. 14(9), pages 1-15, May.
    6. Anggi Putri Kurniadi & Hasdi Aimon & Zamroni Salim & Ragimun Ragimun & Adang Sonjaya & Sigit Setiawan & Viktor Siagian & Lokot Zein Nasution & R Nurhidajat & Mutaqin Mutaqin & Joko Sabtohadi, 2024. "Analysis of Existing and Forecasting for Coal and Solar Energy Consumption on Climate Change in Asia Pacific: New Evidence for Sustainable Development Goals," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 352-359, July.
    7. Bhardwaj, Chandan & Axsen, Jonn & Kern, Florian & McCollum, David, 2020. "Why have multiple climate policies for light-duty vehicles? Policy mix rationales, interactions and research gaps," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 309-326.
    8. Jasmina Ćetković & Slobodan Lakić & Angelina Živković & Miloš Žarković & Radoje Vujadinović, 2021. "Economic Analysis of Measures for GHG Emission Reduction," Sustainability, MDPI, vol. 13(4), pages 1-25, February.
    9. Rancilio, G. & Rossi, A. & Falabretti, D. & Galliani, A. & Merlo, M., 2022. "Ancillary services markets in europe: Evolution and regulatory trade-offs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    10. Youssef Amry & Elhoussin Elbouchikhi & Franck Le Gall & Mounir Ghogho & Soumia El Hani, 2022. "Electric Vehicle Traction Drives and Charging Station Power Electronics: Current Status and Challenges," Energies, MDPI, vol. 15(16), pages 1-30, August.
    11. Nenming Wang & Guwen Tang, 2022. "A Review on Environmental Efficiency Evaluation of New Energy Vehicles Using Life Cycle Analysis," Sustainability, MDPI, vol. 14(6), pages 1-35, March.
    12. Justin Fraselle & Sabine Louise Limbourg & Laura Vidal, 2021. "Cost and Environmental Impacts of a Mixed Fleet of Vehicles," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    13. Boya Zhou & Shaojun Zhang & Ye Wu & Wenwei Ke & Xiaoyi He & Jiming Hao, 2018. "Energy-saving benefits from plug-in hybrid electric vehicles: perspectives based on real-world measurements," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(5), pages 735-756, June.
    14. Onat, Nuri Cihat & Kucukvar, Murat & Tatari, Omer, 2015. "Conventional, hybrid, plug-in hybrid or electric vehicles? State-based comparative carbon and energy footprint analysis in the United States," Applied Energy, Elsevier, vol. 150(C), pages 36-49.
    15. Tran, Cong Quoc & Keyvan-Ekbatani, Mehdi & Ngoduy, Dong & Watling, David, 2021. "Stochasticity and environmental cost inclusion for electric vehicles fast-charging facility deployment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    16. Li, Wei & Jia, Zhijie & Zhang, Hongzhi, 2017. "The impact of electric vehicles and CCS in the context of emission trading scheme in China: A CGE-based analysis," Energy, Elsevier, vol. 119(C), pages 800-816.
    17. Chien-Liang Chiu & I-Fan Hsiao & Lily Chang, 2023. "Overviewing Global Surface Temperature Changes Regarding CO 2 Emission, Population Density, and Energy Consumption in the Industry: Policy Suggestions," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    18. Hongli Zhang & Lei Shen & Shuai Zhong & Ayman Elshkaki, 2020. "Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    19. Mattia Rapa & Laura Gobbi & Roberto Ruggieri, 2020. "Environmental and Economic Sustainability of Electric Vehicles: Life Cycle Assessment and Life Cycle Costing Evaluation of Electricity Sources," Energies, MDPI, vol. 13(23), pages 1-16, November.
    20. Shi You & Junjie Hu & Charalampos Ziras, 2016. "An Overview of Modeling Approaches Applied to Aggregation-Based Fleet Management and Integration of Plug-in Electric Vehicles †," Energies, MDPI, vol. 9(11), pages 1-18, November.

    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:14:y:2021:i:13:p:4054-:d:588899. 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.