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Prediction of battery behaviour in SAPV applications

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  • Armenta-Deu, C.

Abstract

The paper presents a new mathematical approach to the behaviour of lead-acid storage batteries in Stand Alone Photovoltaic Power Systems (SAPV). The approach takes into consideration different aspects affecting the battery discharge and charge behaviour, such as discharge and charge rate, battery capacity and current and power efficiency, among others. The modelling has been matched against experimental results taken out from an operational SAPV. The matching index of the modelling is of excellence, 99.9% on average.

Suggested Citation

  • Armenta-Deu, C., 2003. "Prediction of battery behaviour in SAPV applications," Renewable Energy, Elsevier, vol. 28(11), pages 1671-1684.
    • Handle: RePEc:eee:renene:v:28:y:2003:i:11:p:1671-1684
    DOI: 10.1016/S0960-1481(03)00021-1
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    File URL: http://www.sciencedirect.com/science/article/pii/S0960148103000211
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    Cited by:

    1. Bianchi, M. & Branchini, L. & Ferrari, C. & Melino, F., 2014. "Optimal sizing of grid-independent hybrid photovoltaic–battery power systems for household sector," Applied Energy, Elsevier, vol. 136(C), pages 805-816.

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