State of Charge Estimation of Lithium-ion Batteries Considering Model and Parameter Uncertainties

Zhimin Xi, Rong Jing, Xiao Guang Yang, and Ed Decker
Submission Type: 
Full Paper
AttachmentSizeTimestamp
phmc_13_068.pdf184.66 KBOctober 9, 2013 - 3:59am

Up to date, model and parameter uncertainties are generally overlooked by majority of researchers in the field of battery study. As a consequence, accuracy of the SOC estimation is dominated by the model fidelity and may vary from cell-to-cell. This paper proposes a systematic framework with associated methodologies to quantify the battery model and parameter uncertainties for more effective battery SOC estimation. Such a framework is also generally applicable for estimating other battery performances of interest (e.g. capacity and power capability). There are two major benefits using the proposed framework: i) consideration of the cell-to-cell variability, and ii) accuracy improvement of the low fidelity model comparable to the high fidelity without scarifying computational efficiency. One case study is used to demonstrate the effectiveness of the proposed framework.

Publication Year: 
2013
Publication Volume: 
4
Publication Control Number: 
068
Page Count: 
8
Submission Keywords: 
State of Charge
Lithium-ion battery
model uncertainty
parameter uncertainty
Submission Topic Areas: 
Model-based methods for fault detection, diagnostics, and prognosis
PHM for electronics
Uncertainty Quantification and Management in PHM
Submitted by: 
  
 
 
 

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