DocumentCode
72982
Title
Power Demand Analysis and Performance Estimation for Active-Combination Energy Storage System Used in Hybrid Electric Vehicles
Author
Qu Xiaodong ; Wang Qingnian ; Yu YuanBin
Author_Institution
State Key Lab. of Automotive Simulation & Control, Jilin Univ., Changchun, China
Volume
63
Issue
7
fYear
2014
fDate
Sept. 2014
Firstpage
3128
Lastpage
3136
Abstract
Because of the drawbacks of ultracapacitors (UCs) and batteries, an active combination of UCs and Li-ion batteries has been proposed as an energy storage system (ESS) for hybrid electric vehicles (HEVs). Given the complexity of the active control system in an active-combination energy storage system (ACES), the performance match for the ACES used in an HEV is much more complex. In this paper, a widely applicable method to analyze the design process of the ESS used in HEVs is presented. The concept of the power-energy (PE) function is proposed to illustrate the power demand from the HEV and the energy and power capability of the ESS. This concept draws a clear contrast between demand and capability, particularly for the ACES. At the same time, the efficiency of the ACES could be estimated on the basis of this method. Furthermore, by using operating data from a hybrid electric bus in Changchun, China, power demand analysis and performance estimation are carried out for the optimal design of the ACES.
Keywords
hybrid electric vehicles; secondary cells; supercapacitors; ACES; ESS; HEV; PE function; active-combination energy storage system; hybrid electric bus; hybrid electric vehicles; performance estimation; power demand analysis; power-energy function; Batteries; Conferences; Energy loss; Hybrid electric vehicles; Materials; Power demand; Battery??ultracapacitor (UC) hybrids; Hybrid electric vehicles; battery-ultracapacitor hybrids; hybrid electric vehicles (HEVs); power demand analysis;
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2014.2302017
Filename
6719581
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