ReviewInnovation (Cambridge (Mass.))2026
Electrochemical-mechanical-thermal modeling for lithium-ion batteries.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.