期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：89
期号：2
出版社：Journal of Theoretical and Applied
摘要：This paper studies nonlinear black box modeling of a lead acid battery using SISO Hammerstein-Wiener Model. System identification is a method of measuring the mathematical description of a system by processing the observed inputs and outputs of the system. The developed model is based on Hammerstein-Wiener model. In this paper, we estimate and validate nonlinear models from single-input/single-output (SISO) data to find the one that best represents our system dynamics. Two different output nonlinearity (wavelet network and sigmoid network) are presented to compare the developed models. A pulse discharge test is performed on a commercial automotive lead acid battery in order to collect data to evaluate those models, results are presented and compared.
关键词：Lead Acid Battery; Hammerstein-Wiener; Black Box; Wavelet Network; Sigmoid Network
