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Article

Optimal Charging Navigation Strategy Design for Rapid Charging Electric Vehicles

School of Automation, Guangdong University of Technology, Guangzhou 510006, China
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Energies 2019, 12(6), 962; https://doi.org/10.3390/en12060962
Received: 12 January 2019 / Revised: 23 February 2019 / Accepted: 7 March 2019 / Published: 13 March 2019
(This article belongs to the Special Issue Intelligent Transportation Systems for Electric Vehicles)
Electric vehicles (EVs) have become an efficient solution to making a transportation system environmentally friendly. However, as the number of EVs grows, the power demand from charging vehicles increases greatly. An unordered charging strategy for huge EVs affects the stability of a local power grid, especially during peak times. It becomes serious under the rapid charging mode, in which the EVs will be charged fully within a shorter time. In contrast to regular charging, the power quality (e.g.,voltages deviation, harmonic distortion) is affected when multiple EVs perform rapid charging at the same station simultaneously. To reduce the impacts on a power grid system caused by rapid charging, we propose an optimal EV rapid charging navigation strategy based on the internet of things network. The rapid charging price is designed based on the charging power regulation scheme. Both power grid operation and real-time traffic information are considered. The formulated objective of the navigation strategy is proposed to minimize the synthetic costs of EVs, including the traveling time and the charging costs. Simulation results demonstrate the effectiveness of the proposed strategy. View Full-Text
Keywords: electric vehicle; rapid charging; charging navigation; internet of things electric vehicle; rapid charging; charging navigation; internet of things
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MDPI and ACS Style

Mo, W.; Yang, C.; Chen, X.; Lin, K.; Duan, S. Optimal Charging Navigation Strategy Design for Rapid Charging Electric Vehicles. Energies 2019, 12, 962. https://doi.org/10.3390/en12060962

AMA Style

Mo W, Yang C, Chen X, Lin K, Duan S. Optimal Charging Navigation Strategy Design for Rapid Charging Electric Vehicles. Energies. 2019; 12(6):962. https://doi.org/10.3390/en12060962

Chicago/Turabian Style

Mo, Wangyi, Chao Yang, Xin Chen, Kangjie Lin, and Shuaiqi Duan. 2019. "Optimal Charging Navigation Strategy Design for Rapid Charging Electric Vehicles" Energies 12, no. 6: 962. https://doi.org/10.3390/en12060962

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