Optimal Control Strategies for CVT of the HEV during a regenerative process

2006 IEEE Conference on Electric and Hybrid Vehicles Pub Date : 2006-12-01 DOI:10.1109/ICEHV.2006.352278

A. Mukhitdinov, S. Ruzimov, S. Eshkabilov

{"title":"Optimal Control Strategies for CVT of the HEV during a regenerative process","authors":"A. Mukhitdinov, S. Ruzimov, S. Eshkabilov","doi":"10.1109/ICEHV.2006.352278","DOIUrl":null,"url":null,"abstract":"This paper presents analyses and estimation of optimal control strategies of the parallel hybrid electric vehicles (HEV) from the perspective of fuel economy and maximum energy regeneration during an active braking process. In the paper, there are four main control strategies of continuously variable transmission (CVT) during a regenerative braking process depicted and discussed in detail. The four strategies are: 1) Control strategy of maximal use of regenerative braking. 2) Control strategy of CVT during to support workload of electrical motor according to maximal efficiency characteristics. 3) Control strategy of the CVT for maximal regenerative of energy of braking process per braking distance unit or braking time unit. 4) Discrete control strategy of the CVT with direct combinatorial applications of genetic algorithms and elements of fuzzy logic in control unit of the HEV. In all depicted control strategies, data of the HEV's drive system components, such as, electric motor, internal combustion engine, energy storage, transmission - CVT, are obtained from database of the software package ADVISOR of National Renewable Energy Laboratory (NREL).","PeriodicalId":129674,"journal":{"name":"2006 IEEE Conference on Electric and Hybrid Vehicles","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Conference on Electric and Hybrid Vehicles","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEHV.2006.352278","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 19

Abstract

This paper presents analyses and estimation of optimal control strategies of the parallel hybrid electric vehicles (HEV) from the perspective of fuel economy and maximum energy regeneration during an active braking process. In the paper, there are four main control strategies of continuously variable transmission (CVT) during a regenerative braking process depicted and discussed in detail. The four strategies are: 1) Control strategy of maximal use of regenerative braking. 2) Control strategy of CVT during to support workload of electrical motor according to maximal efficiency characteristics. 3) Control strategy of the CVT for maximal regenerative of energy of braking process per braking distance unit or braking time unit. 4) Discrete control strategy of the CVT with direct combinatorial applications of genetic algorithms and elements of fuzzy logic in control unit of the HEV. In all depicted control strategies, data of the HEV's drive system components, such as, electric motor, internal combustion engine, energy storage, transmission - CVT, are obtained from database of the software package ADVISOR of National Renewable Energy Laboratory (NREL).

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

混合动力汽车再生过程无级变速器的最优控制策略

从燃油经济性和主动制动过程能量再生最大化的角度出发，对并联混合动力汽车(HEV)的最优控制策略进行了分析和估计。本文对无级变速器(CVT)再生制动过程中的四种主要控制策略进行了详细的描述和讨论。四种策略分别是:1)最大限度利用再生制动的控制策略。2)基于最大效率特性的无级变速器在电机支持负荷期间的控制策略。3)以单位制动距离或单位制动时间为单位的无级变速器制动过程能量最大再生控制策略。4)混合动力汽车控制单元中遗传算法与模糊逻辑元素直接组合应用的无级变速器离散控制策略。在所有描述的控制策略中，混合动力汽车驱动系统的电机、内燃机、储能、变速器-无级变速器等部件的数据均来自美国国家可再生能源实验室(NREL)的ADVISOR软件包数据库。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2006 IEEE Conference on Electric and Hybrid Vehicles

自引率

0.00%

发文量