Takagi-Sugeno fuzzy model identification of Li-ion battery systems
World Automation Congress Proceedings
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.
Samadi, M. Foad and Saif, Mehrdad. (2014). Takagi-Sugeno fuzzy model identification of Li-ion battery systems. World Automation Congress Proceedings, 421-426.