Model-Based SEI Layer Growth and Capacity Fade Analysis for EV and PHEV Batteries and Drive Cycles

2014 ◽  
Vol 161 (14) ◽  
pp. A2099-A2108 ◽  
Author(s):  
Matthew T. Lawder ◽  
Paul W. C. Northrop ◽  
Venkat R. Subramanian
Keyword(s):  
Layer Growth ◽  
Capacity Fade ◽  
Model Based ◽  
Sei Layer

A New Modeling Approach to Simulate the SEI Layer Growth in Lithium-Ion Batteries to Predict Capacity Fade

2021 ◽  
Vol MA2021-01 (28) ◽  
pp. 984-984
Author(s):  
Maitri Uppaluri ◽  
Krishna Shah ◽  
Vilayanur Viswanathan ◽  
Venkat R. Subramanian
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Layer Growth ◽  
Capacity Fade ◽  
Modeling Approach ◽  
Sei Layer

Extended Physics-Based Reduced-Order Capacity Fade Model for Lithium Ion Battery Cells

2021 ◽  
pp. 1-12
Author(s):  
Zachary Salyer ◽  
Matilde D'Arpino ◽  
Marcello Canova
Keyword(s):  
Lithium Ion Battery ◽  
Cell Model ◽  
Active Material ◽  
Lithium Ion ◽  
Calibration Procedure ◽  
Layer Growth ◽  
Operating Conditions ◽  
Capacity Fade ◽  
Computationally Efficient ◽  
Reduced Order

Abstract Aging models are necessary to accurately predict the SOH evolution in lithium ion battery systems when performing durability studies under realistic operatings, specifically considering time-varying storage, cycling, and environmental conditions, while being computationally efficient. This paper extends existing physics-based reduced-order capacity fade models that predict degradation resulting from the solid electrolyte interface (SEI) layer growth and loss of active material (LAM) in the graphite anode. Specifically, the physics of the degradation mechanisms and aging campaigns for various cell chemistries are reviewed to improve the model fidelity. Additionally, a new calibration procedure is established relying solely on capacity fade data and results are presented including extrapolation/validation for multiple chemistries. Finally, a condition is integrated to predict the onset of lithium plating. This allows the complete cell model to predict the incremental degradation under various operating conditions, including fast charging.

scholarly journals (Invited) Analyzing and Minimizing Capacity Fade through Optimal Model-based Control - Theory and Experimental Validation

2017 ◽  
Vol 75 (23) ◽  
pp. 51-75 ◽  
Author(s):  
Manan Pathak ◽  
Dayaram Sonawane ◽  
Shriram Santhanagopalan ◽  
Richard D. Braatz ◽  
Venkat R. Subramanian
Keyword(s):  
Control Theory ◽  
Experimental Validation ◽  
Capacity Fade ◽  
Optimal Model ◽  
Model Based Control ◽  
Model Based
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