Bulletin of Electrical Engineering and Informatics
Vol 7, No 2: June 2018

A Nonlinear TSNN Based Model of a Lead Acid Battery

Laadissi, El Mehdi ( Mohamed V University ) , El Filali, Anas ( Mohamed V University ) , Zazi, Malika ( Mohamed V University )

Article Info

Publish Date
01 Jun 2018


The paper studies a nonlinear model based on time series neural network system (TSNN) to improve the highly nonlinear dynamic model of an automotive lead acid cell battery. Artificial neural network (ANN) take into consideration the dynamic behavior of both input-output variables of the battery charge-discharge processes. The ANN works as a benchmark, its inputs include delays and charging/discharging current values. To train our neural network, we performed a pulse discharge on a lead acid battery to collect experimental data. Results are presented and compared with a nonlinear Hammerstein-Wiener model. The ANN and nonlinear autoregressive exogenous model (NARX) models achieved satisfying results.

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Original Source : http://journal.portalgaruda.org/index.php/EEI/article/view/675
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Bulletin of Electrical Engineering and Informatics ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication, computer engineering, computer science, information technology and informatics from the global ...