A geometry-based algorithm to provide guidance for electric vehicle charging |
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| Institution: | 1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;2. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;1. School of Architecture, Building, and Civil Engineering, Loughborough University, Loughborough LE11 3TU, United Kingdom;2. Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, United Kingdom;1. École supérieure d’aménagement du territoire et de développement régional (ÉSAD), FAS-1622, Université Laval, Québec, Canada;2. AFEKA, Tel-Aviv Academic College of Engineering, Afeka Center for Infrastructure, Transportation and Logistics (ACITRAL), 38 Mivtza Kadesh St, 699812 Tel Aviv, Israel;1. Federal University of Technology – Parana, Av. Dos Pioneiros, 3131, Londrina, PR 86036-370, Brazil;2. State University of Londrina, Celso Garcia Cid, Pr 445, km 380, Londrina, PR 86051-990, Brazil;3. State University of Maringa, Av. Colombo, 5790 – Vila Esperança, Maringá, PR 87020-900, Brazil;4. Section of Pulmonology, Department of Medicine, Health Science Centre, State University of Londrina, Parana, Brazil;5. Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, Brazil;6. Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guilford GU2 7XH, United Kingdom;7. Visiting Research at Lund University, Lund, Sweden;1. Eskisehir Technical University, Faculty of Aeronautics and Astronautics, TR-26470 Eskisehir, Turkey;2. TEI, Eskisehir, Turkey;1. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China;2. California PATH, Institute of Transportation Studies, University of California, Berkeley, CA 94804, USA |
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| Abstract: | Electric vehicles (EVs) have been regarded as effective options for solving the environmental and energy problems in the field of transportation. However, given the limited driving range and insufficient charging stations, searching and selecting charging stations is an important issue for EV drivers during trips. A smart charging service should be developed to help address the charging issue of EV drivers, and a practical algorithm for charging guidance is required to realise it. This study aims to design a geometry-based algorithm for charging guidance that can be effectively applied in the smart charging service. Geographic research findings and geometric approaches are applied to design the algorithm. The algorithm is practical because it is based on the information from drivers’ charging requests, and its total number of calculations is significantly less than that of the conventional shortest-first algorithm. The algorithm is effective because it considers the consistency of direction trend between the charging route and the destination in addition to the travel distance, which conforms to the travel demands of EV drivers. Moreover, simulation examples are presented to demonstrate the proposed algorithm. Results of the proposed algorithm are compared with those of the other two algorithms, which show that the proposed algorithm can obtain a better selection of charging stations for EV drivers from the perspective of entire travel chains and take a shorter computational time. |
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| Keywords: | Electric vehicle Smart charging service Charging guidance Geometry-based algorithm Charging request |
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