Approximation of Battery Transfer Function Using Neural Network. (25th November 2020)

• Record Type: Journal Article
• Authors: Cipin, Radoslav; Toman, Marek; Procházka, Petr; Pazdera, Ivo; Miklas, Jan
• Is Part Of: ECS transactions. Volume 99:Number 1(2020)
• Page Start: 351
• Page End: 356
• Publication Date: 2020-11-25
• Subjects: Electrochemistry -- Periodicals; Electrochemistry; Periodicals; Electronic journals; Electronic journal; 541.37
• DOI: 10.1149/09901.0351ecst
• Languages: English
• ISSNs: 1938-5862

Abstract

Abstract : This paper deals with a mathematical description of an alkaline battery impedance dependence on frequency. This mathematical description is done in two different ways. In the first case, a general fractional transfer function is used and in the second case an artificial neural network is used. Both approaches are discussed and compared with real measurement.