Evidence map›Paper›PMID 40741837›Full record

ReviewSmall (Weinheim an der Bergstrasse, Germany)2026

Ensuring Battery Safety in Electric Vehicles: Challenges, Developments, and Future Perspectives.

Oumayma ELJarray, Hongliu Dai, Zhangsen Chen, Subhiksha Venkatesh Raja, Bojia Li, Siyi Cao, Shuhui Sun, Gaixia Zhang

Abstract readReview
In one paragraph

Review in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Oumayma ELJarrayDepartment of Electrical Engineering, École de Technologie Supérieure (ÉTS), Montréal, Québec, H3C 1K3, Canada.
Hongliu DaiDepartment of Electrical Engineering, École de Technologie Supérieure (ÉTS), Montréal, Québec, H3C 1K3, Canada.
Zhangsen ChenInstitut National de la Recherche Scientifique (INRS), Centre Énergie Matériaux Télécommunications, Varennes, Québec, J3×1P7, Canada.
Subhiksha Venkatesh RajaDepartment of Electrical Engineering, École de Technologie Supérieure (ÉTS), Montréal, Québec, H3C 1K3, Canada.
Bojia LiDepartment of Electrical Engineering, École de Technologie Supérieure (ÉTS), Montréal, Québec, H3C 1K3, Canada.
Siyi CaoInstitut National de la Recherche Scientifique (INRS), Centre Énergie Matériaux Télécommunications, Varennes, Québec, J3×1P7, Canada.
Shuhui SunInstitut National de la Recherche Scientifique (INRS), Centre Énergie Matériaux Télécommunications, Varennes, Québec, J3×1P7, Canada.ORCID https://orcid.org/0000-0002-0508-2944
Gaixia ZhangDepartment of Electrical Engineering, École de Technologie Supérieure (ÉTS), Montréal, Québec, H3C 1K3, Canada.ORCID https://orcid.org/0000-0002-2507-4773

Funding

Canada Research ChairsFonds de recherche du Québec - Nature et technologiesFonds de Recherche du Québec-Nature et TechnologiesNatural Sciences and Engineering Research Council of Canada
6 · The paper itself

Abstract

With the rapid adoption of electric vehicles (EVs), battery safety has emerged as a cornerstone of innovation in the automotive industry. This review systematically examines critical safety challenges, such as thermal runaway, interfacial degradation, and mechanical abuse, which threaten performance, reliability, and consumer confidence. By bridging material science with systems engineering, it is analyzed failure mechanisms across scales, from atomic-scale dendrite formation to module-level thermal propagation. It is also evaluate advanced diagnostic tools (e.g., machine learning-driven fault detection). Furthermore, emerging solutions is highlighted, such as self-healing electrolytes, nanostructured thermal barriers, and smart battery management systems that enhance resilience while maintaining energy density. This work critically assesses the trade-offs between scalability and safety in next-generation technologies. This review provides a roadmap for researchers and engineers to design highly durable and fail-safe batteries for sustainable transportation by integrating fundamental insights with practical applications.

Indexed as

artificial intelligencebattery failurebattery safetyelectric vehiclemachine learningpredictionthermal runaway

Identifiers

PMID40741837
PMCPMC12934390

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.