State-Space Modeling and Observer Design of Li-Ion Batteries Using Takagi-Sugeno Fuzzy System
Document Type
Article
Publication Date
1-1-2017
Publication Title
IEEE Transactions on Control Systems Technology
Volume
25
Issue
1
First Page
301
Keywords
Battery diagnostic, battery management system (BMS), battery monitoring, battery state estimation, fuzzy model of battery, lithium-ion battery model, state-of-charge (SOC) estimation, TSK model of battery
Last Page
308
Abstract
This brief is an attempt toward the development of a simpler model of Li-ion batteries to be used in model-based battery monitoring and diagnostics. We present a Takagi-Sugeno fuzzy model that can appropriately cope with the nonlinear dynamics of the battery through its inherent multiple-model structure. The proposed model can easily be expanded to any desired range of operation and is also appropriate for the implementation of control strategies. Further, an analytical observer design for the battery diagnostic is also introduced. The effectiveness of the proposed model is verified through a number of simulation studies.
DOI
10.1109/TCST.2016.2549270
ISSN
10636536
Recommended Citation
Samadi, Mohammad Foad and Saif, Mehrdad. (2017). State-Space Modeling and Observer Design of Li-Ion Batteries Using Takagi-Sugeno Fuzzy System. IEEE Transactions on Control Systems Technology, 25 (1), 301-308.
https://scholar.uwindsor.ca/electricalengpub/291