{"title":"Design and Implementation of Braking Control for Hybrid Electric Vehicles","authors":"Peng Mei, Shichun Yang, Bing-rui Xu, Kangkang Sun, Chao Zhang","doi":"10.1109/ICICIP53388.2021.9642191","DOIUrl":null,"url":null,"abstract":"Regenerative braking can effectively improve fuel consumption for hybrid electric vehicles, and it is a critical technology related to the multi-objective control situation, which is used to realize vehicle braking safety, the energy of braking recovery, and braking stability. Therefore, this paper put forward an adaptive fuzzy control (AFC) method for energy recovery in electric vehicles, mainly for a regenerative braking system. In particular, adaptive control is designed for estimating the road condition. The fuzzy logic control is proposed based on the braking strength of the vehicle, the battery state of charge, and vehicle speed. Combine the mentioned methods, an electric vehicle model is established in the Simulink environment to verify the applicability of the proposed control algorithm.","PeriodicalId":435799,"journal":{"name":"2021 11th International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 11th International Conference on Intelligent Control and Information Processing (ICICIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIP53388.2021.9642191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Regenerative braking can effectively improve fuel consumption for hybrid electric vehicles, and it is a critical technology related to the multi-objective control situation, which is used to realize vehicle braking safety, the energy of braking recovery, and braking stability. Therefore, this paper put forward an adaptive fuzzy control (AFC) method for energy recovery in electric vehicles, mainly for a regenerative braking system. In particular, adaptive control is designed for estimating the road condition. The fuzzy logic control is proposed based on the braking strength of the vehicle, the battery state of charge, and vehicle speed. Combine the mentioned methods, an electric vehicle model is established in the Simulink environment to verify the applicability of the proposed control algorithm.