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.
| Original language | English |
|---|---|
| Article number | 2503406 |
| Journal | Small |
| Volume | 22 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 25 Feb 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
-
SDG 9 Industry, Innovation, and Infrastructure
!!!Keywords
- artificial intelligence
- battery failure
- battery safety
- electric vehicle
- machine learning
- prediction
- thermal runaway
Fingerprint
Dive into the research topics of 'Ensuring Battery Safety in Electric Vehicles: Challenges, Developments, and Future Perspectives'. These topics are generated from the title and abstract of the publication. Together, they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver