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Recent studies on proton exchange membrane fuel cell components, review of the literature
This study investigates the membrane and the bipolar plate which are the most important
components of polymer electrolyte membrane/proton exchange membrane fuel cell …
components of polymer electrolyte membrane/proton exchange membrane fuel cell …
Battery health diagnostics: Bridging the gap between academia and industry
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 …
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 …
multiphysics battery systems, which feature inherently inhomogeneous cascades of scales …
[HTML][HTML] Artificial intelligence-driven real-world battery diagnostics
Addressing real-world challenges in battery diagnostics, particularly under incomplete or
inconsistent boundary conditions, has proven difficult with traditional methodologies such as …
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
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 …
(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
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 …
greenhouse gas emissions. California leads in transitioning towards zero-emission MHDVs …
Predictive pretrained transformer (PPT) for real-time battery health diagnostics
Modeling and forecasting the evolution of battery systems involve complex interactions
across physical, chemical, and electrochemical processes, influenced by diverse usage …
across physical, chemical, and electrochemical processes, influenced by diverse usage …
Vehicle choice modeling for emerging zero-emission light-duty vehicle markets in California
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 …
study introduces a dynamic discrete vehicle choice model (VCM) that investigates the …
Battery Engineering Safety Technologies (BEST): Mechanisms, Modes, Metrics, Modelling and Mitigation
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 …
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
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 …
the low-carbon transition of the transportation sector. This paper employs the total cost of …