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To improve the energy recovery rate of pure electric vehicles, a series regenerative braking control strategy based on PMSM fuzzy logic is proposed in this paper. According to this strategy, the motor braking shall be used as much as possible based on ensuring braking stability, 4 braking zones shall be divided according to the braking intensity, and different braking force distribution strategies shall be used, while comprehensively considering influencing factors such as vehicle speed, ECE regulations, battery, and motor characteristics. Simulink and Cruise are used for modeling and united simulation. The results show that the built model is accurate and reliable. The energy recovery rate can be improved effectively and the cruising range of pure electric vehicles can be extended based on proposed series regenerative braking control strategy.<\/jats:p>","DOI":"10.3233\/jifs-189972","type":"journal-article","created":{"date-parts":[[2021,5,18]],"date-time":"2021-05-18T13:39:01Z","timestamp":1621345141000},"page":"4873-4881","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":10,"title":["A PMSM fuzzy logic regenerative braking control strategy for electric vehicles"],"prefix":"10.1177","volume":"41","author":[{"given":"Feng","family":"Liu","sequence":"first","affiliation":[{"name":"Beijing Institute of Technology (BIT), Beijing, China"}]}],"member":"179","published-online":{"date-parts":[[2021,5,14]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2014.2325614"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1556-4029.2010.01637.x"},{"issue":"5","key":"e_1_3_1_4_2","first-page":"1","article-title":"Model predictive charging control of in-vehicle batteries for home energy management based on vehicle state prediction[J]","volume":"4","author":"Ito A.","year":"2018","unstructured":"ItoA., KawashimaA., SuzukiT., et al., Model predictive charging control of in-vehicle batteries for home energy management based on vehicle state prediction[J], IEEE Transactions on Control Systems Technology4(5) (2018), 1\u201314.","journal-title":"IEEE Transactions on Control Systems Technology"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2011.2168429"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2014.2312591"},{"issue":"2","key":"e_1_3_1_7_2","first-page":"1","article-title":"A multi-agent system for controlled charging of a large population of electric vehicles[J]","volume":"28","author":"Karfopoulos E.L.","year":"2017","unstructured":"KarfopoulosE.L. and HatziargyriouN.D., A multi-agent system for controlled charging of a large population of electric vehicles[J], IEEE Transactions on Power Systems28(2) (2017), 1\u201310.","journal-title":"IEEE Transactions on Power Systems"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/59.709117"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.3390\/en8054335"},{"issue":"9","key":"e_1_3_1_10_2","first-page":"924","article-title":"Modeling and velocity control for a novel narrow vehicle based on mobile wheeled inverted pendulum[J]","volume":"10","author":"Huang J.","year":"2017","unstructured":"HuangJ., DingF., FukudaT., et al., Modeling and velocity control for a novel narrow vehicle based on mobile wheeled inverted pendulum[J], IEEE Transactions on Control Systems Technology10(9) (2017), 924\u2013943.","journal-title":"IEEE Transactions on Control Systems Technology"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.5855\/ENERGY.2012.21.4.346"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2013.2272798"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.2478\/v10026-012-0104-3"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2015.0133"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2010.2088146"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2014.2372044"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-189972","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-189972","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-189972","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T03:28:20Z","timestamp":1770002900000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-189972"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,14]]},"references-count":15,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,11,4]]}},"alternative-id":["10.3233\/JIFS-189972"],"URL":"https:\/\/doi.org\/10.3233\/jifs-189972","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,14]]}}}