{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:44:27Z","timestamp":1777704267180,"version":"3.51.4"},"reference-count":21,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2020,7,14]],"date-time":"2020-07-14T00:00:00Z","timestamp":1594684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2020,10,21]]},"abstract":"<jats:p>The main reason that currently hinders the commercialization of electric vehicles is a bottleneck in battery, motor and electronic control technology, however, an In-depth study of electronic control technology is one of the most effective means to break through this bottleneck at present. The purpose of this paper is to solve the problem that the pure electric vehicle is difficult to meet the driver\u2019s acceleration intention in the urban road cycle acceleration work condition and the brake energy recovery process does not consider the battery state of charge during the deceleration work condition. Proposed a control strategy that can meet the requirements of road cycle conditions and driver\u2019s driving intentions and take account of the vehicle operating status. Use a fuzzy control algorithm to develop a fuzzy controller that taking the motor demand speed change rate and battery state of charge as input, the motor demand torque compensation coefficient as output. The experimental results show that the modified control strategy can improve the actual output power, the actual output torque of the motor and actual driving force of the wheel under the premise of maintaining economy; it also improved the acceleration performance and climbing performance of pure electric vehicles, and can recycle braking energy efficiently. The experimental results show that the secondary development control strategy can meet the requirements of the cycle work condition CYC_ECE_EUDC for the speed and driving force and the driver\u2019s driving intention under the premise of not sacrificing economics.<\/jats:p>","DOI":"10.3233\/jifs-179998","type":"journal-article","created":{"date-parts":[[2020,7,16]],"date-time":"2020-07-16T10:35:59Z","timestamp":1594895759000},"page":"5131-5139","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Fuzzy control strategy of pure electric vehicle based on driving intention recognition"],"prefix":"10.1177","volume":"39","author":[{"given":"Wanqiang","family":"Qi","sequence":"first","affiliation":[{"name":"College of Automotive Engineering, Jilin Engineering Normal University, Changchun, Jilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,7,14]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2017.03.771"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2017.03.852"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2866828"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12204-018-1987-9"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2766095"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s42154-018-0024-x"},{"issue":"1","key":"e_1_3_1_8_2","first-page":"14","article-title":"Using Moving Averages To Pave The Neutrosophic Time Series","volume":"3","author":"Alhabib R.","year":"2020","unstructured":"AlhabibR. and SalamaA.A., Using Moving Averages To Pave The Neutrosophic Time Series, International Journal of Neutrosophic Science 3(1) (2020), 14\u201320.","journal-title":"International Journal of Neutrosophic Science"},{"issue":"10","key":"e_1_3_1_9_2","first-page":"1253","article-title":"Research on dynamic mode transition of hybrid electric vehicle based on continuously variable transmission (CVT)","volume":"28","author":"Wang J.","year":"2017","unstructured":"WangJ., ZhouY. and YangH., Research on dynamic mode transition of hybrid electric vehicle based on continuously variable transmission (CVT), China Mechanical Engineering 28(10) (2017), 1253\u20131259.","journal-title":"China Mechanical Engineering"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/etep.2315"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMM.740.251"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.6113\/JPE.2015.15.3.849"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-est.2017.0067"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2795578"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2018.2818259"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/TTE.2018.2810707"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2018.2856086"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.17775\/CSEEJPES.2016.01430"},{"key":"e_1_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2618886"},{"issue":"4","key":"e_1_3_1_20_2","first-page":"140","article-title":"Automobile, s. o., and university, c. composite braking control strategy based on braking intention recognition for range-extended heavy commercial vehicles","volume":"30","author":"Shi-Wei X.U.","year":"2017","unstructured":"Shi-WeiX.U., JianM.A., Gui-PingW. and XuanZ., Automobile, s. o., and university, c. composite braking control strategy based on braking intention recognition for range-extended heavy commercial vehicles, China Journal of Highway and Transport 30(4) (2017), 140\u2013151.","journal-title":"China Journal of Highway and Transport"},{"key":"e_1_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2017.03.770"},{"key":"e_1_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12239-017-0097-2"}],"container-title":["Journal of Intelligent &amp; 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