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Dynamic Pricing for Mobile Charging Service Considering Electric Vehicles Spatiotemporal Distribution

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Smart Transportation Systems 2023 (KES-STS 2023)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 356))

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Abstract

As mobile charging service has the advantages of flexible charging and simple operation, it is selected by more and more users of electric vehicles. However, due to the differences in road network density and traffic flow distribution, the uneven distribution of charging demand occurs in different regions. It reduces the service efficiency of mobile charging vehicles during the peak charging demand period, thus affecting the final revenue of operators. In order to solve this problem, this paper proposes a dynamic pricing strategy considering the spatiotemporal distribution of charging demand to induce users to transfer between different regions, which can alleviate the phenomenon that users wait too long during peak demand. In order to realize the city-level operation of mobile charging service, we divide the region into hexagons and make statistics on the charging demand in each region. The established demand updating model can reflect the impact of charging price on users’ charging behavior. Finally, we simulate the generation of charging demand in Haidian District, Bei**g. According to the demand of each area, a thermodynamic diagram of charging demand is generated.

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References

  1. Wirasingha, S.G., Emadi, A.: Plug-in hybrid electric factor. IEEE Vehicle Power & Propulsion Conference 60(3), 1279–1284 (2011)

    Google Scholar 

  2. Tan, J., Wang, L.: A stochastic model for quantifying the impact of PHEVs on a residential distribution grid. IEEE International Conference on Cyber Technology in Automation IEEE, 120–125 (2014).

    Google Scholar 

  3. Gao, K., Yang, Y., Zhang, T., Li, A., Qu, X.: Extrapolation-enhanced model for travel decision making: An ensemble machine learning approach considering behavioral theory. Knowl.-Based Syst. 218, 106882 (2021)

    Article  Google Scholar 

  4. Irle, R.: Global EV sales for the 1st half of 2019. URL: http://www.ev-volumes.com/ country/total- world- plug- in- vehicle- volumes/.

  5. Emeç, U., Çatay, B., Bozkaya, B.: An adaptive large neighborhood search for an e-grocery delivery routing problem. Comput. Oper. Res. 69, 109–125 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  6. Cui, S., Yao, B., Chen, G., Zhu, C.: The multi-mode mobile charging service based on electric vehicle spatiotemporal distribution. Energy 198, 117302 (2020)

    Article  Google Scholar 

  7. Li, B., Page, B.R., Hoffman, J.: Rendezvous planning for multiple AUVs with mobile charging stations in dynamic currents. IEEE Robotics and Automation Letters 4(2), 1653–1660 (2019)

    Article  Google Scholar 

  8. Cui, S., Zhao, H., Zhang, C.: Multiple types of plug-in charging facilities’ location-routing problem with time windows for mobile charging vehicles. Sustainability 10(8), 2855 (2018)

    Article  Google Scholar 

  9. Huang, S., He, L., Gu, Y.: Design of a mobile charging service for electric vehicles in an urban environment. IEEE Trans. Intell. Transp. Syst. 16(2), 787–798 (2014)

    Google Scholar 

  10. Cui, S., Ma, X., Zhang, M., Yu, B.: The parallel mobile charging service for free-floating shared electric vehicle clusters. Transportation Research Part E: Logistics and Transportation Review 160, 102652 (2022)

    Article  Google Scholar 

  11. Li, Z., Ouyang, M.: The pricing of charging for electric vehicles in China-Dilemma and solution. Energy 36(9), 5765–5778 (2011)

    Article  Google Scholar 

  12. Lu, K., Liu, S., Niu, X.: Pricing method of electric vehicle charging by using cost-benefit analysis. Journal of Power System and Automation 26(3), 76–80 (2014)

    Google Scholar 

  13. Arif, A.I., Babar, M., Ahamed, T.: Online scheduling of plug-in vehicles in dynamic pricing schemes. Sustainable Energy Grids & Networks 7, 25–36 (2016)

    Article  Google Scholar 

  14. Zou, W., Wu, F., Liu, Z.: Centralized charging strategies of plug-in hybrid electric vehicles under electricity markets based on spot pricing. Automation of Electric Power Systems 35(14), 62–67 (2011)

    Google Scholar 

  15. Hu, Z., Zhan, K., Zhang, H., Song, Y.: Pricing mechanisms design for guiding electric vehicle charging to fill load valley. Appl. Energy 178, 155–163 (2016)

    Article  Google Scholar 

  16. Shi, L.: Design for the electric vehicle charging and discharging price strategy from demand side management perspective. PhD thesis. Chongqing University (2012)

    Google Scholar 

  17. Ke, J., Yang, H., Chen, X.: Hexagon-based convolutional neural network for supply-demand forecasting of ride-sourcing services. IEEE Trans. Intell. Transp. Syst. 20(11), 4160–4173 (2019)

    Article  Google Scholar 

  18. Alizadeh, M., Scaglione, A., Davies, J.: A scalable stochastic model for the electricity demand of electric and plug-in hybrid vehicles. IEEE Transactions on Smart Grid 5(2), 848–860 (2014)

    Article  Google Scholar 

  19. Ma, T., Mohammed, A.O.: Optimal charging of plug-in electric vehicles for a car-park infrastructure. IEEE Trans. Ind. Appl. 50(4), 2323–2330 (2014)

    Article  Google Scholar 

  20. Gao, K., Yang, Y., Qu, X.: Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction. Transp. Res. Part D: Transp. Environ. 97, 102957 (2021). https://doi.org/10.1016/j.trd.2021.102957

    Article  Google Scholar 

  21. Liu, Y., Wang, L., Zeng, Z., Bie, Y.: Optimal charging plan for electric bus considering time-of-day electricity tariff’. Journal of Intelligent and Connected Vehicles 5(2), 123–137 (2022)

    Article  Google Scholar 

  22. Zhang, L., Zeng, Z., Gao, K.: A bi-level optimization framework for charging station design problem considering heterogeneous charging modes. Journal of Intelligent and Connected Vehicles 5(1) (2022).

    Google Scholar 

  23. Eliasson, J.: Efficient transport pricing-why, what, and when? Communications in Transportation Research 1, 100006 (2021)

    Article  Google Scholar 

  24. Gao, K., Yang, Y., Qu, X.: Diverging effects of subjective prospect values of uncertain time and money. Communications in Transportation Research 1, 100007 (2021)

    Article  Google Scholar 

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 52102393, in part by the AI Center (CHAIR) at Chalmers University of Technology and Swedish Energy Agency, in part by the Academic Excellence Foundation of BUAA for Ph.D. Students, and in part by China Scholarship Council under Grant 202106020149.

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Authors and Affiliations

  1. State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, School of Automotive Engineering, Dalian University of Technology, Dalian, 116024, PR China

    Baozhen Yao, Heqi Cui, Qian Zhong & Bin Shi

  2. Department of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg, 41296, Sweden

    Shaohua Cui

  3. School of Transportation Science and Engineering, Beihang University, Bei**g, 100191, PR China

    Yongjie Xue & Shaohua Cui

Authors
  1. Baozhen Yao
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  2. Heqi Cui
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  3. Qian Zhong
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  4. Bin Shi
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  5. Yongjie Xue
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  6. Shaohua Cui
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Corresponding author

Correspondence to Shaohua Cui .

Editor information

Editors and Affiliations

  1. Jilin University, Jilin, China

    Yiming Bie

  2. Chalmers University of Technology, Göteborg, Sweden

    Kun Gao

  3. KES International Research, Shoreham-by-sea, UK

    Robert J. Howlett

  4. KES International, Selby, UK

    Lakhmi C. Jain

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Yao, B., Cui, H., Zhong, Q., Shi, B., Xue, Y., Cui, S. (2023). Dynamic Pricing for Mobile Charging Service Considering Electric Vehicles Spatiotemporal Distribution. In: Bie, Y., Gao, K., Howlett, R.J., Jain, L.C. (eds) Smart Transportation Systems 2023. KES-STS 2023. Smart Innovation, Systems and Technologies, vol 356. Springer, Singapore. https://doi.org/10.1007/978-981-99-3284-9_3

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  • DOI: https://doi.org/10.1007/978-981-99-3284-9_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3283-2

  • Online ISBN: 978-981-99-3284-9

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