http://www.cnr.it/ontology/cnr/individuo/prodotto/ID278761
PV-based Li-ion battery charger with neural MPPT for autonomous sea vehicles (Contributo in atti di convegno)
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- PV-based Li-ion battery charger with neural MPPT for autonomous sea vehicles (Contributo in atti di convegno) (literal)
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- 2013-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/IECON.2002.1185449 (literal)
- Alternative label
Di Piazza, M.C. ; Luna, M. ; Pucci, M. ; Vitale, G. (2013)
PV-based Li-ion battery charger with neural MPPT for autonomous sea vehicles
in IEEE - IECON 2013, Vienna, Austria, November, 10-13, 2013
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Di Piazza, M.C. ; Luna, M. ; Pucci, M. ; Vitale, G. (literal)
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- http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6700341 (literal)
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- Proceedings of the 39th Annual Conference of the IEEE Industrial Electronics Society - IECON 2013 (literal)
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- CNR - ISSIA UOS di Palermo (literal)
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- PV-based Li-ion battery charger with neural MPPT for autonomous sea vehicles (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-4799-0224-8 (literal)
- Abstract
- In this paper a photovoltaic (PV) battery charger based on a DC-DC boost converter for a small size marine autonomous vehicle (AUV) is developed. The proposed solution employs a neural-based technique to estimate the solar irradiance on the basis of the actual PV panel voltage and current. This information is then used to perform an effective maximum power point tracking (MPPT) to optimise the energy exploitation of the solar panel. In particular the growing Neural Gas Network is used. The design and set up of the PV charger is presented together with experimental results assessing its performance. (literal)
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