Electrochemical state and internal variables estimation using a reduced-order physics-based model of a lithium-ion cell and an extended Kalman filter

JOURNAL OF POWER SOURCES

卷:278

Article

Stetzel, Kirk D.¹  Aldrich, Lukas L.¹  Trimboli, M. Scott¹  Plett, Gregory L.¹ 

[1] Univ Colorado, Dept Elect & Comp Engn, Colorado Springs, CO 80918 USA

关键词: Lithium ion battery;    Electrochemical model;    Battery management systems;    State of charge estimation;    Electrochemical state estimation;    Extended Kalman filter;   

DOI  :  10.1016/j.jpowsour.2014.11.135

来源: Elsevier

【 摘 要 】

This paper addresses the problem of estimating the present value of electrochemical internal variables in a lithium-ion cell in real time, using readily available measurements of cell voltage, current, and temperature. The variables that can be estimated include any desired set of reaction flux and solid and electrolyte potentials and concentrations at any set of one-dimensional spatial locations, in addition to more standard quantities such as state of charge. The method uses an extended Kalman filter along with a one-dimensional physics-based reduced-order model of cell dynamics. Simulations show excellent and robust predictions having dependable error bounds for most internal variables. (C) 2014 Elsevier B.V. All rights reserved.

【 授权许可】

Free