Takagi-Sugeno fuzzy model identification of Li-ion battery systems

Authors

M. Foad Samadi, University of Windsor
Mehrdad Saif, University of Windsor

Document Type

Conference Proceeding

Publication Date

10-24-2014

Publication Title

World Automation Congress Proceedings

First Page

421

Last Page

426

Abstract

The trend towards electrification of vehicles demands advanced battery management systems. The core of a BMS is an accurate model upon which the control and monitoring can be established. Accuracy and low-computational load are the two important factors that the applied model for online tasks have to possess. This paper presents a Takagi-Sugeo (T-S) fuzzy-modeling approach toward Lithium ion battery where SoC is estimated using the knowledge of voltage, current and temperature. By the virtue of multiple-model structure of T-S model, the nonlinearities of battery dynamics and corresponding parameters can be appropriately accounted for, while keeping the local models linear and easy-to-implement control/estimation algorithms.

DOI

10.1109/WAC.2014.6935979

ISSN

21544824

E-ISSN

21544832

ISBN

9781889335490

Recommended Citation

Samadi, M. Foad and Saif, Mehrdad. (2014). Takagi-Sugeno fuzzy model identification of Li-ion battery systems. World Automation Congress Proceedings, 421-426.
https://scholar.uwindsor.ca/electricalengpub/314