{"title":"Improving Energy Recovery in Blended Antilock Braking Systems of Electric Vehicles","authors":"A. Aksjonov, V. Vodovozov, Z. Raud","doi":"10.1109/INDIN.2018.8472024","DOIUrl":null,"url":null,"abstract":"Considering highest demands continually imposed on equipment indispensable for safe transportation, this paper focuses on on-board controllers for blended (electro-hydraulic) antilock braking systems of road electric vehicles. Recommendations are issued regarding an influence of air friction and road inclination on torque allocation between electric and hydraulic brakes and accurate accounting of the hybrid energy storage. Following the study of three types of controllers-PID, tabular, and fuzzy logic-the latter one was offered as the most efficient solution for equally fast and safe braking with maximal energy recovery on different roads, from dry to icy, without locking and skidding even in critical situations. Several parts of the system were explored in case studies ensuring their validity and accuracy.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"1 1","pages":"589-594"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN.2018.8472024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Considering highest demands continually imposed on equipment indispensable for safe transportation, this paper focuses on on-board controllers for blended (electro-hydraulic) antilock braking systems of road electric vehicles. Recommendations are issued regarding an influence of air friction and road inclination on torque allocation between electric and hydraulic brakes and accurate accounting of the hybrid energy storage. Following the study of three types of controllers-PID, tabular, and fuzzy logic-the latter one was offered as the most efficient solution for equally fast and safe braking with maximal energy recovery on different roads, from dry to icy, without locking and skidding even in critical situations. Several parts of the system were explored in case studies ensuring their validity and accuracy.