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Issue title: Fuzzy logic systems for transportation engineering
Guest editors: Dalin Zhang, Sabah Mohammed and Alessandro Calvi
Article type: Research Article
Authors: Meng, Fanzia; * | Zhang, Yub
Affiliations: [a] Jilin University of Architecture and Technology, Changchun, Jilin, China | [b] China First Automobile Co., Ltd, Changchun, Jilin, China
Correspondence: [*] Corresponding author. Fanzi Meng, Jilin University of Architecture and Technology, Changchun, Jilin, China, 130114. E-mail: mengfanzi@jluat.edu.cn.
Abstract: Regarding the increasingly severe energy crisis and environmental issues, a dynamic control of the charging and discharging of electric vehicles into the grid that is universally adapted to optimal control is proposed in this study. When the charging control system is based on the load function of the current distribution network, the electric vehicles connected to the charging station are charged and deployed, and the best fuzzy control is adopted to calculate the electric power to be transmitted to each charging hub, so as to improve the load characteristics of the regional grid to reach the grid The highest efficiency of use. Finally, after repeated trials and studies, the orderly charging and deployment system when meeting the charging requirements of electric vehicles, the load of electric vehicles can exert its flexibility.
Keywords: Electric vehicle, V2G, adaptive optimal fuzzy control, orderly dynamic control, charge and discharge control
DOI: 10.3233/JIFS-189979
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4929-4936, 2021
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