Evidence map›Paper›PMID 35557703›Full record

ArticleACS omega2022

Experimental Study on Thermal-Induced Runaway in High Nickel Ternary Batteries.

Longzhou Jia, Dong Wang, Tao Yin, Xichao Li, Liwei Li, Zuoqiang Dai, Lili Zheng

Abstract read
In one paragraph

Article in ACS omega, 2022. 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
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0citing papers in PubMed
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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

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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

7 authors.

Longzhou JiaCollege of Mechanical and Electrical Engineering, Qingdao University, Qingdao 266071, China.ORCID https://orcid.org/0000-0001-7642-7658
Dong WangCollege of Mechanical and Electrical Engineering, Qingdao University, Qingdao 266071, China.
Tao YinCollege of Mechanical and Electrical Engineering, Qingdao University, Qingdao 266071, China.ORCID https://orcid.org/0000-0003-4840-5384
Xichao LiEnergy Saving Business Division, CRRC Qingdao Sifang Rolling Stock Research Institute Co. Ltd., Qingdao 266031, China.
Liwei LiSchool of Control Science and Engineering, Shandong University, Jinan 250061, China.
Zuoqiang DaiCollege of Mechanical and Electrical Engineering, Qingdao University, Qingdao 266071, China.
Lili ZhengCollege of Mechanical and Electrical Engineering, Qingdao University, Qingdao 266071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, fire and explosion accidents associated with lithium ion battery failure occurred frequently. Safety has become one of the main constraints on the wide application of lithium ion batteries in the field of electric vehicles (EVs). By using a simultaneous thermal analyzer (STA8000) and accelerating rate calorimetry (ARC), we studied the thermal stability of high nickel battery materials and the high temperature thermal runaway of the battery, combining the two experimental results to analyze the battery thermal runaway process. We studied the temperature difference between inside and outside during thermal runaway by arranging two temperature sensors inside and outside the battery. The chemical reactions of the battery at high temperature through the thermal performance of the anode, cathode, and separator are also revealed. In-depth exploration of the occurrence process and the trigger mechanism of thermal runaway of lithium batteries was made. The main findings of the study are as follows: The temperature at which the anode materials begin to decompose is 77.13 °C, caused by decomposition of the solid electrolyte interface and the temperature at which the cathode materials begin to decompose is 227.09 °C. The maximum surface temperature of the battery during thermal runaway is 641.41 °C; and the maximum inside temperature of the battery is 1117.80 °C. The time difference between the maximum temperatures inside and outside the battery is 40 s. The thermal runaway temperature of the battery

Identifiers

PMID35557703
PMCPMC9088761

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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.