Prediction of battery behaviour in SAPV applications
2003; Elsevier BV; Volume: 28; Issue: 11 Linguagem: Inglês
10.1016/s0960-1481(03)00021-1
ISSN1879-0682
Autores Tópico(s)IoT-based Smart Home Systems
ResumoThe 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.
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