Accurate non-invasive prediction of battery internal temperature to enhance battery safety

Thermal runaway in batteries, driven by uncontrolled temperature rise, remains a critical safety challenge, highlighting limitations in temperature monitoring and management. Here, we report a non-invasive internal temperature evaluation method based on in-operando isothermal calorimetry. The method quantitatively characterizes heat generation and evaluates internal temperature gradients under various operating conditions, demonstrating the existence of thermal hysteresis and its dependence on temperature and charge/discharge rates. Applying heat transfer theory to boundary heat flux data obtained from calorimetry enables the evaluation of the internal temperature distribution, whose validity is confirmed through in situ temperature measurements. A geometric approximation further extends the methodology to thermal management applications lacking direct calorimetry capabilities, enabling estimation of internal temperature during discharge. This non-invasive strategy provides reliable reference internal temperatures for safely profiling internal thermal states and guiding the design of advanced battery thermal management systems.

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Publication Details

Journal
Cell Reports Physical Science
Published
2026-09-30
DOI
https://doi.org/10.1016/j.xcrp.2026.103577
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
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Accurate non-invasive prediction of battery internal temperature to enhance battery safety

Zonghao Wang, Peizhao Lyu, Chenzhen Liu, Xianglong Fan et al.
Cell Reports Physical Science
Advanced Battery Technologies Research
article

Accurate non-invasive prediction of battery internal temperature to enhance battery safety

Zonghao Wang, Peizhao Lyu, Chenzhen Liu, Xianglong Fan, Zhenhua An, Zhonghao Rao, Menghan Li, Xinjian Liu
article en

Abstract

Thermal runaway in batteries, driven by uncontrolled temperature rise, remains a critical safety challenge, highlighting limitations in temperature monitoring and management. Here, we report a non-invasive internal temperature evaluation method based on in-operando isothermal calorimetry. The method quantitatively characterizes heat generation and evaluates internal temperature gradients under various operating conditions, demonstrating the existence of thermal hysteresis and its dependence on temperature and charge/discharge rates. Applying heat transfer theory to boundary heat flux data obtained from calorimetry enables the evaluation of the internal temperature distribution, whose validity is confirmed through in situ temperature measurements. A geometric approximation further extends the methodology to thermal management applications lacking direct calorimetry capabilities, enabling estimation of internal temperature during discharge. This non-invasive strategy provides reliable reference internal temperatures for safely profiling internal thermal states and guiding the design of advanced battery thermal management systems.

Cell Reports Physical ScienceVol. 7(10)
Hebei University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 20%
Advanced Battery Technologies Research
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Accurate non-invasive prediction of battery internal temperature to enhance battery safety — Zonghao Wang, Peizhao Lyu, et al. · Cell Reports Physical Science (2026) | TGRS Research Map | TGRS