Robust Temperature Estimation in All-Solid-State Batteries

This paper proposes a robust observer for temperature estimation in All-Solid-State Batteries (ASSBs) based on a coupled electrochemical-thermal model. The thermal subsystem is modeled using a quintuple-state structure that captures the temperature dynamics of five key components: the cathode, electrolyte, anode, and the surfaces near the cathode and anode. The thermal model is driven by electrochemical heat generation, which is derived from a physics-based electrochemical model, in which the cathode diffusion coefficient depends on the cathode temperature. To ensure robustness under modeling uncertainties, the observer gain is designed such that the estimation error dynamics achieve D-stability, constraining the observer poles to lie within a prescribed disk in the complex plane. For simulation purpose, a piecewise time-discretized implementation of the coupled model is adopted. Simulation results under the Urban Dynamometer Driving Schedule (UDDS) demonstrate the accuracy of the proposed temperature observer and its robustness to parameter uncertainties, demonstrating its potential for reliable thermal monitoring and enhanced safety in ASSBs.

Authors

Institutions

Publication Details

Published
2025-08-25
DOI
https://doi.org/10.1109/ccta53793.2025.11151409
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust Temperature Estimation in All-Solid-State Batteries

Shu‐Xia Tang, Patryck Ferreira
Advanced Battery Technologies Research
article

Robust Temperature Estimation in All-Solid-State Batteries

Shu‐Xia Tang, Patryck Ferreira
article en

Abstract

This paper proposes a robust observer for temperature estimation in All-Solid-State Batteries (ASSBs) based on a coupled electrochemical-thermal model. The thermal subsystem is modeled using a quintuple-state structure that captures the temperature dynamics of five key components: the cathode, electrolyte, anode, and the surfaces near the cathode and anode. The thermal model is driven by electrochemical heat generation, which is derived from a physics-based electrochemical model, in which the cathode diffusion coefficient depends on the cathode temperature. To ensure robustness under modeling uncertainties, the observer gain is designed such that the estimation error dynamics achieve D-stability, constraining the observer poles to lie within a prescribed disk in the complex plane. For simulation purpose, a piecewise time-discretized implementation of the coupled model is adopted. Simulation results under the Urban Dynamometer Driving Schedule (UDDS) demonstrate the accuracy of the proposed temperature observer and its robustness to parameter uncertainties, demonstrating its potential for reliable thermal monitoring and enhanced safety in ASSBs.

Texas Tech University (US)
Openalex Percentile: Top 74%
Advanced Battery Technologies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.