Quintuple Thermal Model for All-Solid-State Batteries and Temperature Estimation through a Cascaded Thermal-Electrochemical Model

This study introduces a novel quintuple thermal model for all-solid-state batteries, governed by five Ordinary Differential Equations (ODEs) representing the temperatures of the case surface near the cathode, cathode, electrolyte, anode, and the case surface near the anode. The thermal model estimates temperatures by utilizing heat generated from the battery, derived from an electrochemical model that describes the concentration of lithium-ions in the cathode and electrolyte through two Partial Differential Equations (PDEs). Model reduction, achieved via Padé approximation, transforms the PDEs into four 5th-order transfer functions. The thermal model is verified using ANSYS Transient Thermal Analysis. Optimal sensor placement was implemented with a single observable option using just one sensor. Subsequently, the Kalman filter was used to estimate the temperature.

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Publication Details

Published
2024-08-21
DOI
https://doi.org/10.1109/ccta60707.2024.10666604
Citations
3
Primary Topic
Advanced Battery Materials and Technologies
Type
article
Field-Weighted Citation Impact
0.63
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article

Quintuple Thermal Model for All-Solid-State Batteries and Temperature Estimation through a Cascaded Thermal-Electrochemical Model

Shu‐Xia Tang, Patryck Ferreira
3 citations
Advanced Battery Materials and Technologies
0.63
article

Quintuple Thermal Model for All-Solid-State Batteries and Temperature Estimation through a Cascaded Thermal-Electrochemical Model

Shu‐Xia Tang, Patryck Ferreira
article en
3 citations

Abstract

This study introduces a novel quintuple thermal model for all-solid-state batteries, governed by five Ordinary Differential Equations (ODEs) representing the temperatures of the case surface near the cathode, cathode, electrolyte, anode, and the case surface near the anode. The thermal model estimates temperatures by utilizing heat generated from the battery, derived from an electrochemical model that describes the concentration of lithium-ions in the cathode and electrolyte through two Partial Differential Equations (PDEs). Model reduction, achieved via Padé approximation, transforms the PDEs into four 5th-order transfer functions. The thermal model is verified using ANSYS Transient Thermal Analysis. Optimal sensor placement was implemented with a single observable option using just one sensor. Subsequently, the Kalman filter was used to estimate the temperature.

Texas Tech University (US)
Affordable and clean energy
Openalex Percentile: Top 32%
Advanced Battery Materials and Technologies
0.63
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Quintuple Thermal Model for All-Solid-State Batteries and Temperature Estimation through a Cascaded Thermal-Electrochemical Model — Shu‐Xia Tang, Patryck Ferreira · (2024) | TGRS Research Map | TGRS