Evidence map›Paper›PMID 38499708›Full record

ReviewNano-micro letters2024

Functional Optical Fiber Sensors Detecting Imperceptible Physical/Chemical Changes for Smart Batteries.

Yiding Li, Li Wang, Youzhi Song, Wenwei Wang, Cheng Lin, Xiangming He

Open access · diamondAbstract readReview
In one paragraph

Review in Nano-micro letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.7field-weighted citation impact, top 2% of its field
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

4 citing papers in PubMed, 33 citations in OpenAlex.

  1. Advanced Technologies for Characterizing and Detecting Battery Thermal Failure: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
  3. Article
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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

6 authors at 3 institutions in 1 country.

Yiding LiInstitute of Nuclear and New Energy Technology, Tsinghua University, Beijing, 100084, People's Republic of China.
Li WangInstitute of Nuclear and New Energy Technology, Tsinghua University, Beijing, 100084, People's Republic of China. wang-l@tsinghua.edu.cn.
Youzhi SongInstitute of Nuclear and New Energy Technology, Tsinghua University, Beijing, 100084, People's Republic of China.
Wenwei WangNational Engineering Research Center of Electric Vehicles, Beijing Institute of Technology (BIT), Beijing, 100081, People's Republic of China.
Cheng LinNational Engineering Research Center of Electric Vehicles, Beijing Institute of Technology (BIT), Beijing, 100081, People's Republic of China.
Xiangming HeInstitute of Nuclear and New Energy Technology, Tsinghua University, Beijing, 100084, People's Republic of China. hexm@tsinghua.edu.cn.
Tsinghua University · CNBeijing Institute of Technology · CNShenzhen Institute of Information Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The battery technology progress has been a contradictory process in which performance improvement and hidden risks coexist. Now the battery is still a "black box", thus requiring a deep understanding of its internal state. The battery should "sense its internal physical/chemical conditions", which puts strict requirements on embedded sensing parts. This paper summarizes the application of advanced optical fiber sensors in lithium-ion batteries and energy storage technologies that may be mass deployed, focuses on the insights of advanced optical fiber sensors into the processes of one-dimensional nano-micro-level battery material structural phase transition, electrolyte degradation, electrode-electrolyte interface dynamics to three-dimensional macro-safety evolution. The paper contributes to understanding how to use optical fiber sensors to achieve "real" and "embedded" monitoring. Through the inherent advantages of the advanced optical fiber sensor, it helps clarify the battery internal state and reaction mechanism, aiding in the establishment of more detailed models. These advancements can promote the development of smart batteries, with significant importance lying in essentially promoting the improvement of system consistency. Furthermore, with the help of smart batteries in the future, the importance of consistency can be weakened or even eliminated. The application of advanced optical fiber sensors helps comprehensively improve the battery quality, reliability, and life.

Indexed as

Advanced embedded optical fiber sensorBattery internal physical/chemical stateQuality-reliability-life characteristicSmart battery

Identifiers

PMID38499708
PMCPMC10948733
OpenAlexW4392905759

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.