Cesar Sobral Vieira

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Predicting the State of Health (SoH) of lead acid batteries in renewable energy field application is well known as a hard feasible task, due the fact that the operation condition is very spotty. This paper presents a SoH prediction based on artificial neural network model that can estimate the impact of different field operating conditions. In the presented(More)
Predicting the State-of-Health (SoH) of lead acid batteries in renewable energy field application is well known as a hard feasible task, due the fact that the operation condition is very shifty. This paper presents the design and real-time implementation of a SoH prediction based on artificial neural network model. An experimental setup was developed and(More)
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