Battery Engineering Safety Technologies (BEST): Mechanisms, Modes, Metrics, Modelling and Mitigation

J Zhao, Z Lv, D Li, X Feng, Z Wang, Y Wu, D Shi… - ETransportation, 2024 - Elsevier
The increasing adoption of electric vehicles (EVs) has underscored the importance of lithium-
ion batteries (LIBs), which, however, pose inherent safety risks. These issues can escalate …

[HTML][HTML] Lithium-ion battery fundamentals and exploration of cathode materials: A review

AK Koech, G Mwandila, F Mulolani… - South African Journal of …, 2024 - Elsevier
Advances in cathode materials continue to drive the development of safer, more efficient,
and sustainable lithium-ion (Li-ion) batteries for various applications, including electric …

Specialized convolutional transformer networks for estimating battery health via transfer learning

J Zhao, Z Wang - Energy Storage Materials, 2024 - Elsevier
Despite continuous advancements, modeling and predicting nonlinear, multiscale, and
multiphysics battery systems, which feature inherently inhomogeneous cascades of scales …

[HTML][HTML] Artificial intelligence-driven real-world battery diagnostics

J Zhao, X Qu, Y Wu, M Fowler, AF Burke - Energy and AI, 2024 - Elsevier
Addressing real-world challenges in battery diagnostics, particularly under incomplete or
inconsistent boundary conditions, has proven difficult with traditional methodologies such as …

Cross-material battery capacity estimation using hybrid-model fusion transfer learning

J Zhao, X Qu, X Han, Y Wu, AF Burke - Journal of Power Sources, 2025 - Elsevier
Evaluating battery health involves navigating the intricate interplay of physical, chemical,
and electrochemical processes across multiple scales—a task that becomes even more …

[HTML][HTML] Vehicle choice modeling for emerging zero-emission medium-and heavy-duty vehicle markets in California

J Zhao, AF Burke, MR Miller, LM Fulton - Transportation Research …, 2024 - Elsevier
Medium-duty and heavy-duty vehicles (MHDVs) are major contributors to air pollution and
greenhouse gas emissions. California leads in transitioning towards zero-emission MHDVs …

Predictive pretrained transformer (PPT) for real-time battery health diagnostics

J Zhao, Z Wang, Y Wu, AF Burke - Applied Energy, 2025 - Elsevier
Modeling and forecasting the evolution of battery systems involve complex interactions
across physical, chemical, and electrochemical processes, influenced by diverse usage …

Enhancing battery pack safety against cone impact using machine learning techniques and Gaussian noise

Q Zhang, S Han, AM Abed, A Basem… - Process Safety and …, 2024 - Elsevier
The increasing prevalence of electric vehicles underscores the need for enhanced battery
pack safety, particularly against impacts that can lead to thermal runaway and fires. This …

An exhaustive review of battery faults and diagnostic techniques for real-world electric vehicle safety

J Hong, F Liang, J Yang, S Du - Journal of Energy Storage, 2024 - Elsevier
Various abusive behaviors and working conditions can lead to battery faults or thermal
runaway, posing significant challenges to the safety, durability, and reliability of electric …

Advances in battery thermal management for electric vehicles: A comprehensive review of hybrid PCM-metal foam and immersion cooling technologies

C Suresh, A Awasthi, B Kumar, S Im, Y Jeon - Renewable and Sustainable …, 2025 - Elsevier
One of the major challenges currently facing electric vehicles (EVs) is the effective thermal
management of their battery packs, which significantly impacts both battery performance and …