Marius Heydrich, Vincenzo Ricciardi, K. Augsburg, V. Ivanov
{"title":"轮内推进电动汽车组合控制策略的鲁棒性设计","authors":"Marius Heydrich, Vincenzo Ricciardi, K. Augsburg, V. Ivanov","doi":"10.1109/VPPC49601.2020.9330832","DOIUrl":null,"url":null,"abstract":"This paper introduces a control strategy for battery electric Sport Utility Vehicle (SUV) with the rear wheel drive and the decoupled braking system with electro-hydraulic actuation on the front axle and electro-mechanical actuation on the rear axle. The control architecture includes anti-lock braking system (ABS) and traction control (TC) with additional features as the brake blending for improved energy recuperation. The ABS/TC functions are based on the wheel slip controller realized with Proportional-Integral (PI) and Integral Sliding Mode (ISM) strategies, which are benchmarked in the presented study. The control structure also includes modules for estimation of road slope and vehicle mass allocation via Recursive Least Squares (RLS) algorithm.","PeriodicalId":6851,"journal":{"name":"2020 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"58 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Robust Design of Combined Control Strategy for Electric Vehicle with In-wheel Propulsion\",\"authors\":\"Marius Heydrich, Vincenzo Ricciardi, K. Augsburg, V. Ivanov\",\"doi\":\"10.1109/VPPC49601.2020.9330832\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a control strategy for battery electric Sport Utility Vehicle (SUV) with the rear wheel drive and the decoupled braking system with electro-hydraulic actuation on the front axle and electro-mechanical actuation on the rear axle. The control architecture includes anti-lock braking system (ABS) and traction control (TC) with additional features as the brake blending for improved energy recuperation. The ABS/TC functions are based on the wheel slip controller realized with Proportional-Integral (PI) and Integral Sliding Mode (ISM) strategies, which are benchmarked in the presented study. The control structure also includes modules for estimation of road slope and vehicle mass allocation via Recursive Least Squares (RLS) algorithm.\",\"PeriodicalId\":6851,\"journal\":{\"name\":\"2020 IEEE Vehicle Power and Propulsion Conference (VPPC)\",\"volume\":\"58 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Vehicle Power and Propulsion Conference (VPPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VPPC49601.2020.9330832\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Vehicle Power and Propulsion Conference (VPPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VPPC49601.2020.9330832","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust Design of Combined Control Strategy for Electric Vehicle with In-wheel Propulsion
This paper introduces a control strategy for battery electric Sport Utility Vehicle (SUV) with the rear wheel drive and the decoupled braking system with electro-hydraulic actuation on the front axle and electro-mechanical actuation on the rear axle. The control architecture includes anti-lock braking system (ABS) and traction control (TC) with additional features as the brake blending for improved energy recuperation. The ABS/TC functions are based on the wheel slip controller realized with Proportional-Integral (PI) and Integral Sliding Mode (ISM) strategies, which are benchmarked in the presented study. The control structure also includes modules for estimation of road slope and vehicle mass allocation via Recursive Least Squares (RLS) algorithm.