An advanced single-particle model for C3S hydration - validating the statistical independence of model parameters

2015 ◽  
Vol 15 (6) ◽  
pp. 989-999 ◽  
Author(s):  
Joseph J. Biernacki ◽  
Manohar Gottapu
Keyword(s):  
Single Particle ◽  
Particle Model ◽  
Model Parameters ◽  
Statistical Independence ◽  
Single Particle Model

A Temperature Dependent, Single Particle, Lithium Ion Cell Model Including Electrolyte Diffusion

2014 ◽  
Vol 137 (1) ◽  
Author(s):  
Tanvir R. Tanim ◽  
Christopher D. Rahn ◽  
Chao-Yang Wang
Keyword(s):  
Single Particle ◽  
Lithium Ion ◽  
Particle Model ◽  
Voltage Response ◽  
Model Parameters ◽  
Battery Management System ◽  
Temperature Dependent ◽  
Lithium Ion Cell ◽  
Pulse Charge ◽  
Wide Range

Low-order, explicit models of lithium ion cells are critical for real-time battery management system (BMS) applications. This paper presents a seventh-order, electrolyte enhanced single particle model (ESPM) with electrolyte diffusion and temperature dependent parameters (ESPM-T). The impedance transfer function coefficients are explicit in terms of the model parameters, simplifying the implementation of temperature dependence. The ESPM-T model is compared with a commercially available finite volume based model and results show accurate matching of pulse responses over a wide range of temperature (T) and C-rates (I). The voltage response to 30 s pulse charge–discharge current inputs is within 5% of the commercial code for 25 °C<T<50 °C at I≤12.5C and -10 °C<T<50°C at I≤1C for a graphite/nickel cobalt manganese (NCM) lithium ion cell.

Empirical Li-ion aging model derived from single particle model

2019 ◽  
Vol 21 ◽  
pp. 773-786 ◽  
Author(s):  
Sabrina Kathrin Rechkemmer ◽  
Xiaoyun Zang ◽  
Weimin Zhang ◽  
Oliver Sawodny
Keyword(s):  
Single Particle ◽  
Particle Model ◽  
Aging Model ◽  
Li Ion ◽  
Single Particle Model
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