Affiliation:
1. Karlsruher Institut für Technologie (KIT), Institut für Regelungs- und Steuerungssysteme (IRS)
Abstract
Abstract
This paper considers a fractional modelbased identification method with the objective to determine the aging of a battery cell. The method avoids lumped approximations of the fractional operator. Moreover with this approach it is possible to identify physically motivated battery cell parameters. The basic idea is to transfer the derivatives from the measurements to the so called modulating functions. With the help of simulations a robust behavior against measurement noise is shown. It is possible to use the method for online battery identification.
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Cited by
14 articles.
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