DocumentCode :
1056585
Title :
Ultracapacitor-Based Auxiliary Energy System for an Electric Vehicle: Implementation and Evaluation
Author :
Ortúzar, Micah ; Moreno, Jorge ; Dixon, Juan
Author_Institution :
Pontificia Univ. Catolica de Chile, Santiago
Volume :
54
Issue :
4
fYear :
2007
Firstpage :
2147
Lastpage :
2156
Abstract :
In the search for better efficiency, an auxiliary energy system (AES) for electric vehicles (EVs) was designed, implemented, and tested. The system, which is composed of an ultracapacitor bank and a buck-boost converter, was installed in an EV, which is powered by a lead-acid battery pack and a 54-kW brushless dc motor. Two control strategies where developed: one based on heuristics and the other based on an optimization model using neural networks. These strategies were translated to algorithms and implemented in a digital signal processor, and their performance was evaluated in urban driving. The results were incorporated to an economic evaluation of the system, which shows that the reduction in costs would only justify the inclusion of this type of system in a lead-acid battery-powered vehicle if the battery life is extended by 50% or more, which is unlikely. The same results were extrapolated to a case in which the lead-acid batteries are replaced by a fuel cell. In this case, the costs of different power support systems were evaluated, such as ultracapacitors and high-specific-power lithium-based batteries. The results showed a significant cost reduction when AES configurations are included in contrast to a system powered by fuel cells only. Also, the cost reduction was higher when using ultracapacitors for this purpose.
Keywords :
battery powered vehicles; brushless DC motors; digital signal processing chips; lead acid batteries; neurocontrollers; optimisation; power convertors; supercapacitors; brushless dc motor; buck-boost converter; digital signal processor; fuel cells; lead-acid battery-powered vehicle; lithium-based batteries; neural networks; optimization model; power support systems; ultracapacitor bank; ultracapacitor-based auxiliary energy system; Batteries; Brushless DC motors; Costs; Electric vehicles; Fuel cells; Neural networks; Power system modeling; Signal processing algorithms; Supercapacitors; System testing; Energy management; energy storage; road vehicles; ultracapacitors;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2007.894713
Filename :
4273667
Link To Document :
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