On Physical Modeling of Lithium-Ion Cells and Adaptive Estimation of their State-of-Charge

Abstract : We address the problems of physical modeling and model-based adaptive observation of state-of-charge in lithium-ion batteries. The model is derived proceeding from electrochemical first principles. Two adaptive observers with guaranteed stability properties, under practically reasonable assumptions, are proposed. Simulations on a lithium iron-phosphate (LiFePo) cell to illustrate the advantages and limitations of the proposed observers are presented.
Document type :
Conference papers
Complete list of metadatas

https://hal-centralesupelec.archives-ouvertes.fr/hal-01981071
Contributor : Stanislav Aranovskiy <>
Submitted on : Monday, January 14, 2019 - 6:32:59 PM
Last modification on : Thursday, June 20, 2019 - 3:18:32 PM

Identifiers

Citation

Daniele Zonetti, Bowen Yi, Stanislav Aranovskiy, Denis Efimov, Romeo Ortega, et al.. On Physical Modeling of Lithium-Ion Cells and Adaptive Estimation of their State-of-Charge. 57th IEEE Conference on Decision and Control (CDC 2018), Dec 2018, Miami Beach, United States. ⟨10.1109/cdc.2018.8619415⟩. ⟨hal-01981071⟩

Share

Metrics

Record views

149