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Artificial Neural Network control and energy management in 42 V DC link
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| Author(s) |
GUALOUS Hamid; MARI; BERTHON Alain |
| Abstract |
This paper deals with an experimental realization of a 42V hybrid power sources for automotive applications. It’s composed by a battery which provides the power in constant mean power and a supercapacitor tank in order to supply power in transient state. Two DC/DC converters are used to adapt voltage and current levels between the 42V DC link, battery and supercapacitor tank. Voltage is regulated by using Artificial Neural Networks (ANNs).Supercapacitors have a high power density and low internal resistance, they can be charged and discharged at high current. They are ideally placed for peak power requirements. They can be used in parallel with battery to start the internal combustion engine in order to reduce the size of the batter, in hybrid vehicle to provide power during acceleration with the aim to reduce the power of the internal combustion engine …The study presented here is about experimental realization of a hybrid power source and its voltage control by ANN. |
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| Filename: | 0672 |
| Filesize: | 270.4 KB |
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| Type |
Members Only |
| Date |
Last modified 2006-02-05 by System |
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