Evidence map›Paper›PMID 35269210›Full record

ArticleMaterials (Basel, Switzerland)2022

Power Batteries Health Monitoring: A Magnetic Imaging Method Based on Magnetoelectric Sensors.

Rui Chen, Jie Jiao, Ziyun Chen, Yuhang Wang, Tingyu Deng, Wenning Di, Shunliang Zhu, Mingguang Gong, Li Lu, Xianyu Xie and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Rui ChenShanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 201800, China.ORCID 0000-0003-4145-8539
Jie JiaoShanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 201800, China.
Ziyun ChenShanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 201800, China.
Yuhang WangShanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 201800, China.
Tingyu DengShanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 201800, China.
Wenning DiShanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 201800, China.
Shunliang ZhuShanghai Motor Vehicle Inspection Certification & Tech Innovation Center Co., Ltd., Shanghai 201805, China.
Mingguang GongShanghai Motor Vehicle Inspection Certification & Tech Innovation Center Co., Ltd., Shanghai 201805, China.
Li LuShanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 201800, China.
Xianyu XieShanghai Motor Vehicle Inspection Certification & Tech Innovation Center Co., Ltd., Shanghai 201805, China.
Haosu LuoShanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 201800, China.

Funding

innovation fund of Chinese Academy of Sciences E19ZC2120GNational Natural Science Foundation of China 61634007Natural Science Foundation of Shanghai Commission of science and technology 21ZR1472500Shanghai science committee 19DZ1207200
6 · The paper itself

Abstract

With the popularity of electric vehicles, the ever-increasing demand for high-capacity batteries highlights the need for monitoring the health status of batteries. In this article, we proposed a magnetic imaging technique (MIT) to investigate the health status of power batteries nondestructively. This technique is based on a magnetic sensor array, which consists of a 16-channel high-performance magnetoelectric sensor, and the noise equivalent magnetic induction (NEB) of each channel reaches 3-5 pT/Hz

Indexed as

magnetic imaging techniquemagnetoelectric sensor arraynondestructive testingpower batteries

Identifiers

PMID35269210
PMCPMC8912071

What OpenQuestion holds

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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.