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A transfer function type of simplified electrochemical model with modified boundary conditions and Padé approximation for Li-ion battery: Part 2. Modeling and parameter estimation.

Authors :
Yuan, Shifei
Jiang, Lei
Yin, Chengliang
Wu, Hongjie
Zhang, Xi
Source :
Journal of Power Sources. Jun2017, Vol. 352, p258-271. 14p.
Publication Year :
2017

Abstract

The electrochemistry-based battery model can provide physics-meaningful knowledge about the lithium-ion battery system with extensive computation burdens. To motivate the development of reduced order battery model, three major contributions have been made throughout this paper: (1) the transfer function type of simplified electrochemical model is proposed to address the current-voltage relationship with Padé approximation method and modified boundary conditions for electrolyte diffusion equations. The model performance has been verified under pulse charge/discharge and dynamic stress test (DST) profiles with the standard derivation less than 0.021 V and the runtime 50 times faster. (2) the parametric relationship between the equivalent circuit model and simplified electrochemical model has been established, which will enhance the comprehension level of two models with more in-depth physical significance and provide new methods for electrochemical model parameter estimation. (3) four simplified electrochemical model parameters: equivalent resistance R eq , effective diffusion coefficient in electrolyte phase D e eff , electrolyte phase volume fraction ε and open circuit voltage (OCV), have been identified by the recursive least square (RLS) algorithm with the modified DST profiles under 45, 25 and 0 °C. The simulation results indicate that the proposed model coupled with RLS algorithm can achieve high accuracy for electrochemical parameter identification in dynamic scenarios. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03787753
Volume :
352
Database :
Academic Search Index
Journal :
Journal of Power Sources
Publication Type :
Academic Journal
Accession number :
122478114
Full Text :
https://doi.org/10.1016/j.jpowsour.2017.03.061