IDEAS home Printed from https://ideas.repec.org/a/kap/netspa/v23y2023i3d10.1007_s11067-023-09592-1.html
   My bibliography  Save this article

Dynamic Wireless Charging Facility Location Problem for Battery Electric Vehicles under Electricity Constraint

Author

Listed:
  • Amit Kumar

    (University of Texas at San Antonio, One UTSA Circle)

  • Sabyasachee Mishra

    (University of Memphis)

  • Huan Ngo

    (University of Memphis)

Abstract

Despite the recent development in technology, Battery Electric Vehicle (BEV) pose several drawbacks including recharging time, limited range, and inadequate number of charging facilities. In an effort to address these drawbacks, Dynamic Wireless Charging (DWC) technology is gaining attention. DWC can be implemented by embedding the induction coil under a roadway pavement to dynamically charge the BEV in motion without a need to stop. This prompts an important question for infrastructure planning of BEVs: how to optimally locate DWC infrastructure in a road network. Planning for optimal DWC facility location needs to consider how BEV drivers will react to the newly implemented DWC in terms of route choice to reflect their unilateral utility minimization objective. Further complexities of DWC implementation include availability of zonal surplus electricity. In this paper, we propose a bi-level planning approach considering both the objectives of the planners and the drivers. The approach explicitly incorporates five elements: system-level social costs, travel patterns of individuals, trip completion assurance, zonal DWC implementation constraint due to energy availability from grid, and total budget availability from the public agency. The proposed framework is first demonstrated in a numerical experiment setting using Sioux Falls network. Then the framework is also implemented using city of Chicago sketch network to demonstrate its applicability to real-size networks. The numerical results using these two networks provide valuable insights for planners for developing an optimal DWC implementation plan.

Suggested Citation

  • Amit Kumar & Sabyasachee Mishra & Huan Ngo, 2023. "Dynamic Wireless Charging Facility Location Problem for Battery Electric Vehicles under Electricity Constraint," Networks and Spatial Economics, Springer, vol. 23(3), pages 679-713, September.
    • Handle: RePEc:kap:netspa:v:23:y:2023:i:3:d:10.1007_s11067-023-09592-1
    DOI: 10.1007/s11067-023-09592-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11067-023-09592-1
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11067-023-09592-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chen, Zhibin & He, Fang & Yin, Yafeng, 2016. "Optimal deployment of charging lanes for electric vehicles in transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 344-365.
    2. Omar Ben-Ayed & Charles E. Blair, 1990. "Computational Difficulties of Bilevel Linear Programming," Operations Research, INFORMS, vol. 38(3), pages 556-560, June.
    3. Zhang, Anpeng & Kang, Jee Eun & Kwon, Changhyun, 2017. "Incorporating demand dynamics in multi-period capacitated fast-charging location planning for electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 5-29.
    4. Liu, Haoxiang & Wang, David Z.W., 2017. "Locating multiple types of charging facilities for battery electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 30-55.
    5. Timothy C. Matisziw, 2019. "Maximizing Expected Coverage of Flow and Opportunity for Diversion in Networked Systems," Networks and Spatial Economics, Springer, vol. 19(1), pages 199-218, March.
    6. Larry J. Leblanc, 1975. "An Algorithm for the Discrete Network Design Problem," Transportation Science, INFORMS, vol. 9(3), pages 183-199, August.
    7. Yongxi Huang & Shengyin Li & Zhen Qian, 2015. "Optimal Deployment of Alternative Fueling Stations on Transportation Networks Considering Deviation Paths," Networks and Spatial Economics, Springer, vol. 15(1), pages 183-204, March.
    8. Los, Marc & Lardinois, Christian, 1982. "Combinatorial programming, statistical optimization and the optimal transportation network problem," Transportation Research Part B: Methodological, Elsevier, vol. 16(2), pages 89-124, April.
    9. Hong Zheng & Xiaozheng He & Yongfu Li & Srinivas Peeta, 2017. "Traffic Equilibrium and Charging Facility Locations for Electric Vehicles," Networks and Spatial Economics, Springer, vol. 17(2), pages 435-457, June.
    10. Montoya, Alejandro & Guéret, Christelle & Mendoza, Jorge E. & Villegas, Juan G., 2017. "The electric vehicle routing problem with nonlinear charging function," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 87-110.
    11. Strehler, Martin & Merting, Sören & Schwan, Christian, 2017. "Energy-efficient shortest routes for electric and hybrid vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 111-135.
    Full references (including those not matched with items on IDEAS)

    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. Shen, Zuo-Jun Max & Feng, Bo & Mao, Chao & Ran, Lun, 2019. "Optimization models for electric vehicle service operations: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 462-477.
    2. Xu, Min & Meng, Qiang, 2020. "Optimal deployment of charging stations considering path deviation and nonlinear elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 135(C), pages 120-142.
    3. Yıldız, Barış & Olcaytu, Evren & Şen, Ahmet, 2019. "The urban recharging infrastructure design problem with stochastic demands and capacitated charging stations," Transportation Research Part B: Methodological, Elsevier, vol. 119(C), pages 22-44.
    4. Zhang, Anpeng & Kang, Jee Eun & Kwon, Changhyun, 2017. "Incorporating demand dynamics in multi-period capacitated fast-charging location planning for electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 5-29.
    5. Lee, Chungmok & Han, Jinil, 2017. "Benders-and-Price approach for electric vehicle charging station location problem under probabilistic travel range," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 130-152.
    6. Shaohua Cui & Hui Zhao & Cuiping Zhang, 2018. "Locating Charging Stations of Various Sizes with Different Numbers of Chargers for Battery Electric Vehicles," Energies, MDPI, vol. 11(11), pages 1-22, November.
    7. Liu, Haoxiang & Wang, David Z.W., 2017. "Locating multiple types of charging facilities for battery electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 30-55.
    8. Shaohua Cui & Hui Zhao & Huijie Wen & Cuiping Zhang, 2018. "Locating Multiple Size and Multiple Type of Charging Station for Battery Electricity Vehicles," Sustainability, MDPI, vol. 10(9), pages 1-20, September.
    9. Van Can Nguyen & Chi-Tai Wang & Ying-Jiun Hsieh, 2021. "Electrification of Highway Transportation with Solar and Wind Energy," Sustainability, MDPI, vol. 13(10), pages 1-28, May.
    10. Cen, Xuekai & Lo, Hong K. & Li, Lu & Lee, Enoch, 2018. "Modeling electric vehicles adoption for urban commute trips," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 431-454.
    11. Liu, Haoxiang & Zou, Yuncheng & Chen, Ya & Long, Jiancheng, 2021. "Optimal locations and electricity prices for dynamic wireless charging links of electric vehicles for sustainable transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    12. Wang, Hua & Zhao, De & Meng, Qiang & Ong, Ghim Ping & Lee, Der-Horng, 2019. "A four-step method for electric-vehicle charging facility deployment in a dense city: An empirical study in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 224-237.
    13. Sun, Hao & Yang, Jun & Yang, Chao, 2019. "A robust optimization approach to multi-interval location-inventory and recharging planning for electric vehicles," Omega, Elsevier, vol. 86(C), pages 59-75.
    14. Anjos, Miguel F. & Gendron, Bernard & Joyce-Moniz, Martim, 2020. "Increasing electric vehicle adoption through the optimal deployment of fast-charging stations for local and long-distance travel," European Journal of Operational Research, Elsevier, vol. 285(1), pages 263-278.
    15. Hosseininasab, Seyyed-Mohammadreza & Shetab-Boushehri, Seyyed-Nader, 2015. "Integration of selecting and scheduling urban road construction projects as a time-dependent discrete network design problem," European Journal of Operational Research, Elsevier, vol. 246(3), pages 762-771.
    16. Liu, Haoxiang & Szeto, W.Y. & Long, Jiancheng, 2019. "Bike network design problem with a path-size logit-based equilibrium constraint: Formulation, global optimization, and matheuristic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 284-307.
    17. Xiang Zhang & David Rey & S. Travis Waller & Nathan Chen, 2019. "Range-Constrained Traffic Assignment with Multi-Modal Recharge for Electric Vehicles," Networks and Spatial Economics, Springer, vol. 19(2), pages 633-668, June.
    18. Ouyang, Xu & Xu, Min, 2022. "Promoting green transportation under the belt and Road Initiative: Locating charging stations considering electric vehicle users’ travel behavior," Transport Policy, Elsevier, vol. 116(C), pages 58-80.
    19. Rashidi, Eghbal & Parsafard, Mohsen & Medal, Hugh & Li, Xiaopeng, 2016. "Optimal traffic calming: A mixed-integer bi-level programming model for locating sidewalks and crosswalks in a multimodal transportation network to maximize pedestrians’ safety and network usability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 33-50.
    20. Yan, Xiao-Yu & Yang, Shi-Chun & He, Hong & Tang, Tie-Qiao, 2018. "An optimization model for wireless power transfer system based on circuit simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 873-880.

    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:kap:netspa:v:23:y:2023:i:3:d:10.1007_s11067-023-09592-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.