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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.<\/jats:p>","DOI":"10.3233\/jifs-189979","type":"journal-article","created":{"date-parts":[[2021,5,18]],"date-time":"2021-05-18T13:39:37Z","timestamp":1621345177000},"page":"4929-4936","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Dynamic control analysis of charging and discharging power for electric vehicles with adaptive optimal fuzzy control"],"prefix":"10.1177","volume":"41","author":[{"given":"Fanzi","family":"Meng","sequence":"first","affiliation":[{"name":"Jilin University of Architecture and Technology, Changchun, Jilin, China"}]},{"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[{"name":"China First Automobile Co., Ltd, Changchun, Jilin, China"}]}],"member":"179","published-online":{"date-parts":[[2021,5,14]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.12.044"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2649042"},{"issue":"99","key":"e_1_3_2_4_2","first-page":"1","article-title":"The online charging and discharging scheduling potential of electric vehicles considering the uncertain responses of users","author":"Wu F.","year":"2020","unstructured":"WuF., YangJ., ZhanX., LiaoS. and XuJ., The online charging and discharging scheduling potential of electric vehicles considering the uncertain responses of users, IEEE Transactions on Power SystemsPP(99) (2020), 1\u20131.","journal-title":"IEEE Transactions on Power Systems"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-pel.2019.0101"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2014.2372038"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-com.2017.0619"},{"issue":"99","key":"e_1_3_2_8_2","first-page":"1","author":"Yeh L.Y.","year":"2020","unstructured":"YehL.Y., LuP.J., HuangS.H., HuangJ.L.IEEE Transactions on Engineering ManagementPP(99) (2020), 1\u201314Socha, arivacy-preserving ddos data exchange service over soc consortium blockchain.","journal-title":"IEEE Transactions on Engineering Management"},{"issue":"99","key":"e_1_3_2_9_2","first-page":"2468","article-title":"Qoe-aware power management in vehicle-to-grid networks: a matching-theoretic approach","volume":"9","author":"Zeng M.","year":"2016","unstructured":"ZengM., LengS., ZhangY. and HeJ., Qoe-aware power management in vehicle-to-grid networks: a matching-theoretic approach, IEEE Transactions on Smart Grid9(99) (2016), 2468\u20132477.","journal-title":"IEEE Transactions on Smart Grid"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1145\/3316481"},{"issue":"2019","key":"e_1_3_2_11_2","first-page":"76754","article-title":"Multi-objective optimization for cyber-physical-social systems: a case study of electric vehicles charging and discharging","volume":"7","author":"Li W.","unstructured":"LiW., LinZ., ZhouH. and YanG., Multi-objective optimization for cyber-physical-social systems: a case study of electric vehicles charging and discharging, IEEE Access7(2019), 76754\u201376767.","journal-title":"IEEE Access"},{"key":"e_1_3_2_12_2","doi-asserted-by":"crossref","unstructured":"ZhengX. 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