Evidence map›Paper›PMID 40783400›Full record

ArticleNature communications2025

Fully printable integrated multifunctional sensor arrays for intelligent lithium-ion batteries.

Nuo Sun, Qinlang Rong, Jie Wu, Liting Huang, Stefano Passerini, Hong Li, Hailong Wang, Jing Chen, YongAn Huang, Zhimeng Liu and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  5. Article
  6. Decoding High-voltage LiCoOAdvanced materials (Deerfield Beach, Fla.) · 2026
    Review
  7. Review
  8. 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

14 authors.

Nuo Sun *School of Chemical Engineering, Sichuan University, Chengdu, China.
Qinlang Rong *School of Chemical Engineering, Sichuan University, Chengdu, China.
Jie WuCollege of Electrical Engineering, Sichuan University, Chengdu, China.
Liting HuangSchool of Microelectronics, Southern University of Science and Technology, Shenzhen, China.
Stefano PasseriniKarlsruhe Institute of Technology (KIT)/Helmholtz Institute Ulm (HIU), Ulm, Germany.ORCID http://orcid.org/0000-0002-6606-5304
Hong LiKey Laboratory for Renewable Energy, Institute of Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-8659-086X
Hailong WangSchool of Chemical Engineering, Sichuan University, Chengdu, China.
Jing ChenSchool of Chemical Engineering, Sichuan University, Chengdu, China.
YongAn HuangState Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China. yahuang@hust.edu.cn.ORCID http://orcid.org/0000-0001-7713-8380
Zhimeng LiuSchool of Chemical Engineering, Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0002-5537-3758
Linyu HuSchool of Microelectronics, Southern University of Science and Technology, Shenzhen, China.
Kang XuSES AI Corp, Woburn, MA, USA. kang.c.xu@gmail.com.
Yuanjing LinSchool of Microelectronics, Southern University of Science and Technology, Shenzhen, China. linyj2020@sustech.edu.cn.ORCID http://orcid.org/0000-0002-8568-1786
Xin HeSchool of Chemical Engineering, Sichuan University, Chengdu, China. xinhe@scu.edu.cn.ORCID http://orcid.org/0000-0002-0272-9079

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring battery health states and predicting potential hazards are crucial technologies for ensuring the safe operation of battery packs. Current battery risk control often lacks indicators and timeliness for the accidents due to complexity in convoluted and distinct electrochemical behaviors of diverse cell chemistries. Here, we enable lithium-ion batteries with intelligence by integrating a conformal array of multifunctional sensors into the packing foil. Fully printed sensing arrays are prepared by nano-fabricating process with sensing inks, provide advantages with minimized weight increase (49 mg), strong resilience against multi-dimensional disturbances, and long-term stability as integrated system. Operando thermal, mechanical, and chemical features serve as quantitative indicators of degradation across various issues, including over-dis/charging, low-temperature/high-rates Li-plating, internal-short circuit, breakage or thermal abuse, ensuring safety with a lead time. Additionally, sensors for flammable gases and electrolyte leakage directly trigger alarms upon real-time analysis, efficiently providing warnings in complex situations. As important advance in intelligent energy storage management, this platform can be applied universally to various battery-types or pack-levels.

Identifiers

PMID40783400
PMCPMC12335448

What OpenQuestion holds

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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.