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Dynamic Pricing for Electric Vehicle Charging—A Literature Review

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  • Steffen Limmer

    (Honda Research Institute Europe GmbH, 63073 Offenbach/Main, Germany)

Abstract

Time-varying pricing is seen as an appropriate means for unlocking the potential flexibility from electric vehicle users. This in turn facilitates the future integration of electric vehicles and renewable energy resources into the power grid. The most complex form of time-varying pricing is dynamic pricing. Its application to electric vehicle charging is receiving growing attention and an increasing number of different approaches can be found in the literature. This work aims at providing an overview and a categorization of the existing work in this growing field of research. Furthermore, user studies and the modeling of user preferences via utility functions are discussed.

Suggested Citation

  • Steffen Limmer, 2019. "Dynamic Pricing for Electric Vehicle Charging—A Literature Review," Energies, MDPI, vol. 12(18), pages 1-24, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:18:p:3574-:d:268478
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    References listed on IDEAS

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    Cited by:

    1. Michel Zade & Zhengjie You & Babu Kumaran Nalini & Peter Tzscheutschler & Ulrich Wagner, 2020. "Quantifying the Flexibility of Electric Vehicles in Germany and California—A Case Study," Energies, MDPI, vol. 13(21), pages 1-21, October.
    2. Yong, Jin Yi & Tan, Wen Shan & Khorasany, Mohsen & Razzaghi, Reza, 2023. "Electric vehicles destination charging: An overview of charging tariffs, business models and coordination strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    3. 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).
    4. Winschermann, Leoni & Bañol Arias, Nataly & Hoogsteen, Gerwin & Hurink, Johann, 2023. "Assessing the value of information for electric vehicle charging strategies at office buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    5. Wang, Dong & Liao, Feixiong & Gao, Ziyou & Tian, Qiong, 2022. "Analysis of activity duration-related charging behavioral responses of electric vehicle travelers to charging services," Transport Policy, Elsevier, vol. 123(C), pages 73-81.
    6. Dingyi Lu & Yunqian Lu & Kexin Zhang & Chuyuan Zhang & Shao-Chao Ma, 2023. "An Application Designed for Guiding the Coordinated Charging of Electric Vehicles," Sustainability, MDPI, vol. 15(14), pages 1-16, July.
    7. Steffen Limmer, 2019. "Evaluation of Optimization-Based EV Charging Scheduling with Load Limit in a Realistic Scenario," Energies, MDPI, vol. 12(24), pages 1-16, December.
    8. Obeid, Hassan & Ozturk, Ayse Tugba & Zeng, Wente & Moura, Scott J., 2023. "Learning and optimizing charging behavior at PEV charging stations: Randomized pricing experiments, and joint power and price optimization," Applied Energy, Elsevier, vol. 351(C).
    9. Benjamin Schaden & Thomas Jatschka & Steffen Limmer & Günther Robert Raidl, 2021. "Smart Charging of Electric Vehicles Considering SOC-Dependent Maximum Charging Powers," Energies, MDPI, vol. 14(22), pages 1-33, November.
    10. Ma, Shao-Chao & Yi, Bo-Wen & Fan, Ying, 2022. "Research on the valley-filling pricing for EV charging considering renewable power generation," Energy Economics, Elsevier, vol. 106(C).
    11. Sanchari Deb, 2021. "Machine Learning for Solving Charging Infrastructure Planning Problems: A Comprehensive Review," Energies, MDPI, vol. 14(23), pages 1-19, November.
    12. Qin Chen & Komla Agbenyo Folly, 2022. "Application of Artificial Intelligence for EV Charging and Discharging Scheduling and Dynamic Pricing: A Review," Energies, MDPI, vol. 16(1), pages 1-26, December.
    13. Emmanuele Bobbio & Simon Brandkamp & Stephanie Chan & Peter Cramton & David Malec & Lucy Yu, 2022. "Price Responsive Demand in Britain's Electricity Market," ECONtribute Discussion Papers Series 185, University of Bonn and University of Cologne, Germany.
    14. Visaria, Anant Atul & Jensen, Anders Fjendbo & Thorhauge, Mikkel & Mabit, Stefan Eriksen, 2022. "User preferences for EV charging, pricing schemes, and charging infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 120-143.
    15. Akansha Jain & Masoud Karimi-Ghartemani, 2022. "Mitigating Adverse Impacts of Increased Electric Vehicle Charging on Distribution Transformers," Energies, MDPI, vol. 15(23), pages 1-26, November.

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