DocumentCode :
3600837
Title :
A Comparative Analysis of Optimal Sizing of Battery-Only, Ultracapacitor-Only, and Battery–Ultracapacitor Hybrid Energy Storage Systems for a City Bus
Author :
Ostadi, Amir ; Kazerani, Mehrdad
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Volume :
64
Issue :
10
fYear :
2015
Firstpage :
4449
Lastpage :
4460
Abstract :
This paper provides a detailed comparative analysis of optimal sizing of battery-only, ultracapacitor-only, and battery-ultracapacitor hybrid energy storage systems (ESSs) for a plug-in electric city bus (PECB). It is shown how the configuration affects the optimal size of the ESS. The problem of optimal sizing of the storage system for the PECB is formulated and solved for a specific set of vehicle parameters, battery, and ultracapacitor cell data, as well as a specific daily drive cycle. A modified particle swarm optimization algorithm is used to solve the optimal sizing problem. The optimization platform developed by the authors and used for this study is highly flexible and accepts different component data, vehicle parameters, and drive cycles as the input for determining the optimal sizes of the storage system.
Keywords :
electric vehicles; particle swarm optimisation; secondary cells; supercapacitors; ESS; PECB; battery-only storage systems; battery-ultracapacitor hybrid energy storage systems; optimal sizing problem; particle swarm optimization algorithm; plug-in electric city bus; ultracapacitor-only storage systems; Batteries; Cities and towns; Mechanical power transmission; Optimization; Supercapacitors; Vehicles; Battery; Cost; Hybrid Energy Storage System; Modified Particle Swarm Optimization; Optimal Sizing; Plugin Electric City Bus; Ultracapacitor; cost; hybrid energy storage system (HESS); modified particle swarm optimization (PSO); optimal sizing; plug-in electric city bus (PECB); ultracapacitor;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2014.2371912
Filename :
6960912
Link To Document :
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