2006 IEEE Conference on Electric and Hybrid Vehicles最新文献

A Fuzzy Energy Management Strategy for Series Hybrid Electric Vehicle with Predictive Control and Durability Extension of the Battery 基于预测控制和电池耐久性扩展的串联混合动力汽车模糊能量管理策略

2006 IEEE Conference on Electric and Hybrid Vehicles Pub Date : 2006-12-01 DOI: 10.1109/ICEHV.2006.352279

M. H. Hajimiri, F. R. Salmasi

{"title":"A Fuzzy Energy Management Strategy for Series Hybrid Electric Vehicle with Predictive Control and Durability Extension of the Battery","authors":"M. H. Hajimiri, F. R. Salmasi","doi":"10.1109/ICEHV.2006.352279","DOIUrl":"https://doi.org/10.1109/ICEHV.2006.352279","url":null,"abstract":"Hybrid electric vehicles (HEV) are superior to conventional vehicles from the standpoint of environmental issues. Many factors involve in designing HEVs such as fuel consumption, emission and performance. A major challenge for development of hybrid vehicles is coordination of multiple energy sources and converters, and in case of a HEV, power flow control for both mechanical and electrical path. This necessitates the utilization of appropriate control or energy management strategy. Furthermore, the durability extension of some critical components in the drive train such as batteries tends to be one of the substantial factors considered in designing control strategies for HEVs. In this paper two novel issues are considered in designing energy management systems for series HEVs. In the first part, we propose an algorithm such that the future path information of the vehicles is also taken into account for generating the control signals. Using global positioning system (GPS) installed today in most of the vehicles, such data are fed to the central vehicle controller. A fuzzy logic controller (FLC) is utilized for energy management based on the predicted future state of the vehicle, in order to improve fuel consumption, emission and performance. Then, the energy management system is modified to increase the state of the health (SOH) of the power train battery. This approach, which results in the extension of the battery life, is called predictive and protective algorithm (PPA). The simulation results verify the effectiveness of the proposed controllers.","PeriodicalId":129674,"journal":{"name":"2006 IEEE Conference on Electric and Hybrid Vehicles","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115431011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 62

Analysis and Hardware Development of a Novel Prototype Hybrid PEM Fuel Cell Li-Ion Battery Scooter 新型混合动力PEM燃料电池-锂离子电池踏板车原型分析与硬件开发

2006 IEEE Conference on Electric and Hybrid Vehicles Pub Date : 2006-12-01 DOI: 10.1109/ICEHV.2006.352282

M. Alam, T. Taher, M. Khader, A. Lateef, R. Kizilel

引用次数: 5

Optimal Control Strategies for CVT of the HEV during a regenerative process 混合动力汽车再生过程无级变速器的最优控制策略

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":"https://doi.org/10.1109/ICEHV.2006.352278","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":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124940850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Development of a Marketable Small Commercial Electric Vehicle in India 印度市场小型商用电动车的开发

2006 IEEE Conference on Electric and Hybrid Vehicles Pub Date : 2006-12-01 DOI: 10.1109/ICEHV.2006.352277

S. Chiplonkar

{"title":"Development of a Marketable Small Commercial Electric Vehicle in India","authors":"S. Chiplonkar","doi":"10.1109/ICEHV.2006.352277","DOIUrl":"https://doi.org/10.1109/ICEHV.2006.352277","url":null,"abstract":"Emissions from vehicles is one of the primary contributors to deteriorating ambient air quality in major urban areas of the Indian subcontinent, leading to increased morbidity and mortality, and, in turn, to decreasing economic productivity. With an explosive growth in their numbers in the last decade, these vehicles are also emerging as significant contributors to GHG emissions. This realisation has put public and regulatory pressures on the industry to plan strategies for clean alternative transportation technologies. Two key vehicle market characteristics in the country are - a relatively benign urban driving profile and a price elastic market demand. There have been demonstration programmes run by various manufacturers to address the issue of vehicular pollution through deployment of electric vehicles. However, due to high costs, and inadequate performance, most attempts at commercialisation of these vehicles have not been very successful. Two and three wheelers (scooters, motorcycles and auto-rickshaws) are the most popular vehicles in India, with populations of over 35 million and 3 million respectively. This paper presents the experience and lessons learned during the demonstration phase, by one major manufacturer of these vehicles, and steps carried out to reduce manufacturing costs so as to produce marketable electric vehicles with acceptable life cycle costs.","PeriodicalId":129674,"journal":{"name":"2006 IEEE Conference on Electric and Hybrid Vehicles","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134030052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Neural Network Based DTC IM Drive for Electric Vehicle Propulsion System 基于神经网络的电动汽车推进系统DTC IM驱动

2006 IEEE Conference on Electric and Hybrid Vehicles Pub Date : 2006-12-01 DOI: 10.1109/ICEHV.2006.352276

B. Singh, P. Jain, A. Mittal, J. Gupta

引用次数: 11

Hybrid Engines in Indian Context: A Review 印度背景下的混合动力发动机:综述

2006 IEEE Conference on Electric and Hybrid Vehicles Pub Date : 2006-12-01 DOI: 10.1109/ICEHV.2006.352286

R. Sahu, R. Rajusha

引用次数: 0

An Intelligent Control Strategy in a Parallel Hybrid Vehicle 并联混合动力汽车的智能控制策略

2006 IEEE Conference on Electric and Hybrid Vehicles Pub Date : 2006-12-01 DOI: 10.1109/ICEHV.2006.352272

A. Abdollahi

引用次数: 9

Reliable On-board and Remote Vehicular Network Management for Hybrid Automobiles 混合动力汽车可靠的车载和远程车辆网络管理

2006 IEEE Conference on Electric and Hybrid Vehicles Pub Date : 2006-12-01 DOI: 10.1109/ICEHV.2006.352284

G. Mohinisudhan, S.K. Bhosale, B.S. Chaudhari

引用次数: 7

Evaluation and optimization of a hybrid urban Microbus 混合动力城市微型客车的评价与优化

2006 IEEE Conference on Electric and Hybrid Vehicles Pub Date : 2006-12-01 DOI: 10.1109/ICEHV.2006.352280

M. Boujelben, F. Badin, D. Escudié, R. Vidon

引用次数: 5

Control, Alarm and Indicator Systems in Modern Electric Vehicles 现代电动汽车的控制、报警和指示系统

2006 IEEE Conference on Electric and Hybrid Vehicles Pub Date : 2006-12-01 DOI: 10.1109/ICEHV.2006.352290

V.K. Sharma, R.D. Kamble, R. Sharma

引用次数: 2