NDLI: Comparative Investigation of Series and Parallel Hybrid Electric Vehicle (HEV) Efficiencies Based on Comprehensive Parametric Analysis

Content Provider	IEEE Xplore Digital Library
Author	Xin Li Williamson, S.S.
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC (Xin Li; Williamson, S.S.)
Abstract	In order to assess, analyze, and cross-compare efficiencies of hybrid electric vehicles (HEV), a true drive train analysis needs to be executed. There exist two popular HEV topologies (series and parallel), with relatively large motors. Generally, the drive train efficiency can be simply yielded out by calculating the losses at each power stage in a series or parallel drive train structure. However, the power component stage-based analysis is a practically deficient method. In order to have a fair efficiency comparison, some parameters that directly affect fuel consumption, such as drive train mass and control strategy should be taken into consideration. This paper aims at modeling both the series and parallel HEV drive trains, and computing their definite drive train efficiencies, which can be used as a comparative scale for various other HEV topologies. The advanced vehicle simulator (ADVISOR) software is used for modeling, simulation, and parametric analysis of series and parallel HEV drive trains.
Starting Page	499
Ending Page	505
File Size	1380541
Page Count	7
File Format	PDF
ISBN	9780780397606
DOI	10.1109/VPPC.2007.4544176
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hybrid electric vehicles Vehicle driving Petroleum Topology Traction motors Weight control Intelligent vehicles Computational modeling Analytical models Propulsion traction motor drives Electric propulsion electric vehicles energy storage modelling road vehicles
Content Type	Text
Resource Type	Article

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