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Real Time Li-Ion Battery Bank Parameters Estimation via Universal Adaptive Stabilization
- Source :
- IEEE Open Journal of Control Systems, Vol 1, Pp 268-293 (2022)
- Publication Year :
- 2022
- Publisher :
- IEEE, 2022.
-
Abstract
- This paper proposes an accurate and efficient Universal Adaptive Stabilizer (UAS) based online parameters estimation technique for a 400 V Li-ion battery bank. The battery open circuit voltage, parameters modeling the transient response, and series resistance are all estimated in a single real-time test. In contrast to earlier UAS based work on individual battery packs, this work does not require prior offline experimentation or any post-processing. Real time fast convergence of parameters' estimates with minimal experimental effort enables update of battery parameters during run-time. The proposed strategy is mathematically validated and its performance is demonstrated on a 400 V, 6.6 Ah Li-ion battery bank powering an induction motor driven prototype electric vehicle (EV) traction system.
Details
- Language :
- English
- ISSN :
- 2694085X
- Volume :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- IEEE Open Journal of Control Systems
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.582813ac4a2f4b55ba434ff44eac56fa
- Document Type :
- article
- Full Text :
- https://doi.org/10.1109/OJCSYS.2022.3206710