Evidence map›Paper›PMID 42890621›Full record

ReviewInnovation (Cambridge (Mass.))2026

Electrochemical-mechanical-thermal modeling for lithium-ion batteries.

Wenxin Mei, Zhixiang Cheng, Chenrui She, Chaoshi Liu, Jinhua Sun, Qingsong Wang

Abstract readReview
In one paragraph

Review in Innovation (Cambridge (Mass.)), 2026. 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

6 authors.

Wenxin MeiState Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China.
Zhixiang ChengState Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China.
Chenrui SheState Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China.
Chaoshi LiuState Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China.
Jinhua SunState Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China.
Qingsong WangState Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lithium-ion battery operation results from multiphysical interactions incorporating electrochemical-mechanical-thermal interrelated processes taking place across diverse length/timescales. Driven by efficient and safe applications, understanding electrochemical-mechanical-thermal phenomena has become an overriding consideration for the prosperity of sustainable lithium-ion battery technology. Toward this goal, priority is given to modeling techniques because of comparatively satisfactory cost, identifying limited phenomena, and predicting how altering parameters affects the entire system. Herein, current advancements are evaluated and summarized in the realm to gain a comprehensive description of the electrochemical-mechanical-thermal modeling framework associated with the intricate interplay within electrochemical-mechanical-thermal properties. Electrochemical, mechanical, and thermal models are classified to characterize the corresponding properties during normal operation, degradation, and even thermal runaway. For convoluted and interconnected electrochemical-mechanical-thermal phenomena, initiating a unified modeling workflow intimately with a combination of question proposal, model development, parameter acquisition, model validation, and application is indispensable to unlocking the full investigative potential and assisting novices and specialists with model development. Finally, the future challenges confronted are discussed.

Indexed as

electrochemical-mechanical-thermallithium-ion battery safetymodeling frameworkmodel validationparameter acquisition

Identifiers

PMID42890621
PMCPMC13673537

What OpenQuestion holds

Textmetadata
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.