Recent studies on proton exchange membrane fuel cell components, review of the literature

H Kahraman, Y Akın - Energy Conversion and Management, 2024 - Elsevier
This study investigates the membrane and the bipolar plate which are the most important
components of polymer electrolyte membrane/proton exchange membrane fuel cell …

Battery health diagnostics: Bridging the gap between academia and industry

Z Wang, D Shi, J Zhao, Z Chu, D Guo, C Eze, X Qu… - eTransportation, 2024 - Elsevier
Diagnostics of battery health, which encompass evaluation metrics such as state of health,
remaining useful lifetime, and end of life, are critical across various applications, from …

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 …

Projections of the costs of light-duty battery-electric and fuel cell vehicles (2020–2040) and related economic issues

AF Burke, J Zhao, LM Fulton - Research in Transportation Economics, 2024 - Elsevier
This paper provides a comprehensive analysis of the initial costs and total cost of ownership
(TCO) for light-duty battery electric vehicles (BEVs) and fuel cell vehicles (FCVs) from 2020 …

[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 …

Vehicle choice modeling for emerging zero-emission light-duty vehicle markets in California

AF Burke, J Zhao, MR Miller, LM Fulton - Heliyon, 2024 - cell.com
To predict the market dynamics of various zero-emission vehicle (ZEV) technologies, this
study introduces a dynamic discrete vehicle choice model (VCM) that investigates the …

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 …

Evaluating fuel cell vs. battery electric trucks: Economic perspectives in alignment with china's carbon neutrality target

Z Mu, F Zhao, F Bai, Z Liu, H Hao - Sustainability, 2024 - mdpi.com
The electrification of heavy-duty trucks stands as a critical and challenging cornerstone in
the low-carbon transition of the transportation sector. This paper employs the total cost of …