Thermal Modelling Utilizing Multiple Experimentally Measurable Parameters

Thermal Modelling Utilizing Multiple Experimentally Measurable Parameters

This paper presents three equivalent thermal circuit models with multiple input parameters, namely, the state of health (SOH), state of charge (SOC), current and temperature. Typical physiochemical models include parameters such as porosity and tortuosity, which are not easily experimentally availab...

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Bibliographic Details
Published in:Batteries (Basel) Vol. 8; no. 10; p. 147
Main Authors: Mevawalla, Anosh, Shabeer, Yasmin, Tran, Manh Kien, Panchal, Satyam, Fowler, Michael, Fraser, Roydon
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-10-2022
Subjects:
Circuits
Composition
Convection heating
Electrodes
Electrolytes
equivalent circuit model
Equivalent circuits
Heat
heat transfer
Impedance
Lithium
Lithium cells
lithium ion battery
Lithium-ion batteries
Mathematical models
Neural networks
Parameters
physiochemical model
Physiochemistry
Reliability (Engineering)
State of charge
surface methods
Temperature
Thermal analysis
Thermal conductivity
thermal model
Thermal properties
Thermocouples
Tortuosity
Two dimensional models
Canada
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Summary:This paper presents three equivalent thermal circuit models with multiple input parameters, namely, the state of health (SOH), state of charge (SOC), current and temperature. Typical physiochemical models include parameters such as porosity and tortuosity, which are not easily experimentally available; this model allows for model parameters such as the internal impedance to be easily estimated using more practical inputs. The paper models the internal impedance resistance of a LiFePO4 battery at five different ambient temperatures (5, 15, 25, 35, 45 °C), at three different discharge rates (1C, 2C, 3C) and at three different SOHs (90%, 83%, 65%). The internal impedance surface fit experimental measurements with a Pearson coefficient of 0.945. Three thermal models were then created that implemented the internal resistance model. The first two thermal models were 0D models that did not include the influence of the thermal conductivity of the battery. The first model assumed simple heating through internal resistance and convection energy loss, while the second also included the Bernardi Reversible heat term. The final third model was a 2D model that included all previous heat source terms as well as tab heating. The 2D model was solved using a simple Euler method and finite center difference. The R2 values for the 0D thermal models were 0.9964 and 0.9962 for the simple internal resistance and reversible heating models, respectively. The R2 value for the 2D thermal model was 0.996.
ISSN:2313-0105
2313-0105
DOI:10.3390/batteries8100147