Evidence map›Paper›PMID 41114244›Full record

ArticleACS omega2025

In Situ Optical Fiber Sensing of Internal Temperature Evolution during Lithium-Ion Battery Cycling.

Fanchao Zeng, Xinglin Tong, Chong Xu, Zhenming Li, Zerong Liu

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Fanchao ZengNational Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, Wuhan 430070, China.ORCID https://orcid.org/0000-0001-9842-1732
Xinglin TongNational Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, Wuhan 430070, China.
Chong XuEnergy Storage and Electrotechnics Department, China Electric Power Research Institute, Beijing 100192, China.
Zhenming LiEnergy Storage and Electrotechnics Department, China Electric Power Research Institute, Beijing 100192, China.
Zerong LiuNational Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, Wuhan 430070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The internal temperature of high-capacity lithium-ion batteries (LiBs) plays a crucial role in triggering thermal runaway. Current research on battery thermal runaway primarily relies on external temperature sensors, which are unable to provide real-time temperature distribution data from various sections within the battery cells. Consequently, early detection of thermal runaway in batteries is hindered. To address this limitation, this study investigates arrayed fiber Bragg grating sensors (AFBGs) positioned between two cells to continuously monitor the temperature distribution across different cell sections during operation. The results indicate that in battery charge-discharge tests conducted at rates of 0.2, 0.5, and 0.75 P, the maximum thermal gradient along the cell's vertical axis (from top to bottom) reaches 6.8 °C during 0.75 P, with the geometric center of the jelly roll surface identified as the most temperature-sensitive location. Consequently, the implementation of multipoint monitoring is deemed essential for early thermal runaway detection. The analysis at the battery pack level reveals that during the charging process, a temperature variance of 8.3 °C exists among batteries, highlighting central/peripheral thermal nonuniformity. Additionally, external sensors underestimate the internal temperature by 19.4 °C, further emphasizing the importance of internal monitoring. Linear regression analysis shows a strong linear correlation (

Identifiers

PMID41114244
PMCPMC12529180

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.