Optimal Charging Navigation Strategy Design for Rapid Charging Electric Vehicles

Wangyi Mo, Chao Yang, Xin Chen, Kangjie Lin and Shuaiqi Duan
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Wangyi Mo: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Chao Yang: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Xin Chen: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Kangjie Lin: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Shuaiqi Duan: School of Automation, Guangdong University of Technology, Guangzhou 510006, China

Energies, 2019, vol. 12, issue 6, 1-18

Abstract: 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.

Keywords: electric vehicle; rapid charging; charging navigation; internet of things (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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