Dynamic operations of a mobile charging crowdsourcing platform
This paper investigates the operation of a novel electric vehicles (EVs) charging service mode, that is, crowdsourced mobile charging service for EVs, whereby a crowdsourcing platform is established to arrange suppliers (crowdsourced chargers) to deliver charging service to customers’ electric vehic...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/182678 |
| _version_ | 1826117616227319808 |
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| author | Yan, Yiming Lin, Xi He, Fang Wang, David Zhi Wei |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Yan, Yiming Lin, Xi He, Fang Wang, David Zhi Wei |
| author_sort | Yan, Yiming |
| collection | NTU |
| description | This paper investigates the operation of a novel electric vehicles (EVs) charging service mode, that is, crowdsourced mobile charging service for EVs, whereby a crowdsourcing platform is established to arrange suppliers (crowdsourced chargers) to deliver charging service to customers’ electric vehicles (parked EVs) at low-battery levels. From the platform operator’s perspective, we aim to determine the optimal operation strategies for mobile charging crowdsourcing platforms to achieve specific objectives. A mathematical modeling framework is developed to capture the interactions among supply, demand, and service operations in the crowdsourced mobile charging market. To design an efficient solution method to solve the formulated model, we first analyze the model properties by rigorously proving that a crucial variable set for operating the mobile charging crowdsourcing system includes charging price, commission control, and period-specific aggregate demand control. Besides, we provide both an equivalent condition and a necessary condition for checking the feasibility of these crucial variables. On top of this, we construct a search tree according to the operation periods in a day to solve the optimal operation strategies, wherein a nondominated principle is adopted as an accelerating technique in the searching process. The solution obtained from the proposed solution algorithm is proved to be sufficiently close to the actual global optimal solutions of the formulated model up to the resolution of the discretization scheme adopted. Numerical examples provide evidence verifying the model’s validity and the solution method’s efficiency. Overall, the research outcome of this work can offer service operators structured and valuable guidelines for operating mobile charging crowdsourcing platforms. |
| first_indexed | 2025-03-09T11:57:49Z |
| format | Journal Article |
| id | ntu-10356/182678 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-03-09T11:57:49Z |
| publishDate | 2025 |
| record_format | dspace |
| spelling | ntu-10356/1826782025-02-17T03:02:44Z Dynamic operations of a mobile charging crowdsourcing platform Yan, Yiming Lin, Xi He, Fang Wang, David Zhi Wei School of Civil and Environmental Engineering Engineering Charging service for electric vehicles Crowdsourced mobile charging This paper investigates the operation of a novel electric vehicles (EVs) charging service mode, that is, crowdsourced mobile charging service for EVs, whereby a crowdsourcing platform is established to arrange suppliers (crowdsourced chargers) to deliver charging service to customers’ electric vehicles (parked EVs) at low-battery levels. From the platform operator’s perspective, we aim to determine the optimal operation strategies for mobile charging crowdsourcing platforms to achieve specific objectives. A mathematical modeling framework is developed to capture the interactions among supply, demand, and service operations in the crowdsourced mobile charging market. To design an efficient solution method to solve the formulated model, we first analyze the model properties by rigorously proving that a crucial variable set for operating the mobile charging crowdsourcing system includes charging price, commission control, and period-specific aggregate demand control. Besides, we provide both an equivalent condition and a necessary condition for checking the feasibility of these crucial variables. On top of this, we construct a search tree according to the operation periods in a day to solve the optimal operation strategies, wherein a nondominated principle is adopted as an accelerating technique in the searching process. The solution obtained from the proposed solution algorithm is proved to be sufficiently close to the actual global optimal solutions of the formulated model up to the resolution of the discretization scheme adopted. Numerical examples provide evidence verifying the model’s validity and the solution method’s efficiency. Overall, the research outcome of this work can offer service operators structured and valuable guidelines for operating mobile charging crowdsourcing platforms. Ministry of Education (MOE) This work was supported by the Singapore Ministry of Education [Grant RG124/21]. 2025-02-17T03:02:44Z 2025-02-17T03:02:44Z 2024 Journal Article Yan, Y., Lin, X., He, F. & Wang, D. Z. W. (2024). Dynamic operations of a mobile charging crowdsourcing platform. Transportation Science, 58(5), 995-1015. https://dx.doi.org/10.1287/trsc.2023.0126 0041-1655 https://hdl.handle.net/10356/182678 10.1287/trsc.2023.0126 2-s2.0-85205226883 5 58 995 1015 en RG124/21 Transportation Science © 2024 INFORMS. All rights reserved. |
| spellingShingle | Engineering Charging service for electric vehicles Crowdsourced mobile charging Yan, Yiming Lin, Xi He, Fang Wang, David Zhi Wei Dynamic operations of a mobile charging crowdsourcing platform |
| title | Dynamic operations of a mobile charging crowdsourcing platform |
| title_full | Dynamic operations of a mobile charging crowdsourcing platform |
| title_fullStr | Dynamic operations of a mobile charging crowdsourcing platform |
| title_full_unstemmed | Dynamic operations of a mobile charging crowdsourcing platform |
| title_short | Dynamic operations of a mobile charging crowdsourcing platform |
| title_sort | dynamic operations of a mobile charging crowdsourcing platform |
| topic | Engineering Charging service for electric vehicles Crowdsourced mobile charging |
| url | https://hdl.handle.net/10356/182678 |
| work_keys_str_mv | AT yanyiming dynamicoperationsofamobilechargingcrowdsourcingplatform AT linxi dynamicoperationsofamobilechargingcrowdsourcingplatform AT hefang dynamicoperationsofamobilechargingcrowdsourcingplatform AT wangdavidzhiwei dynamicoperationsofamobilechargingcrowdsourcingplatform |