[HTML][HTML] Optimal sizing of renewable energy storage: A techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal …
Energy storage is essential to address the intermittent issues of renewable energy systems,
thereby enhancing system stability and reliability. This paper presents the design and …
thereby enhancing system stability and reliability. This paper presents the design and …
Proton exchange membrane fuel cell (PEMFC) operation in high current density (HCD): Problem, progress and perspective
F Cai, S Cai, Z Tu - Energy Conversion and Management, 2024 - Elsevier
The proton exchange membrane fuel cell (PEMFC) is a highly promising and advanced
technology in energy development due to its exceptional efficiency and eco-friendly …
technology in energy development due to its exceptional efficiency and eco-friendly …
Artificial intelligence for the understanding of electrolyte chemistry and electrode interface in lithium battery
Y Chen, Y Liu, Z He, L Xu, P Yu, Q Sun, W Li… - National Science …, 2024 - nso-journal.org
Recognizing the critical role of electrolyte chemistry and electrode interfaces in the
performance and safety of lithium batteries, along with the urgent need for more …
performance and safety of lithium batteries, along with the urgent need for more …
State-of-health diagnosis of lithium-ion batteries using the fractional-order electrochemical impedance model
The rapid growth of the battery industry has encouraged manufacturers to develop suitable
materials that provide maximum safety for their products and customers, evaluate the …
materials that provide maximum safety for their products and customers, evaluate the …
A machine learning framework for intelligent prediction of ash fusion temperature characteristics
H An, Z Liu, K Sun, B Peng - Fuel, 2024 - Elsevier
The characteristics and analysis of coal ash fusion have always been a challenge in coal
research. In this study, a hybrid data-based machine learning framework was developed …
research. In this study, a hybrid data-based machine learning framework was developed …
A systematic life cycle assessment of the electroconversion of carbon dioxide
In this study, we report a cradle-to-gate life cycle assessment of assembling and operating
an electrochemical cell for conversion of carbon dioxide (CO 2) to formic acid. This process …
an electrochemical cell for conversion of carbon dioxide (CO 2) to formic acid. This process …
State of charge and temperature-dependent impedance spectra regeneration of lithium-ion battery by duplex learning modeling
Impedance spectroscopy is a powerful technique and broadly used for battery
characterization. In this study, we introduce a novel machine framework we call the duplex …
characterization. In this study, we introduce a novel machine framework we call the duplex …
Enhancing Capacity Estimation of Retired Electric Vehicle Lithium-ion Batteries through Transfer Learning from Electrochemical Impedance Spectroscopy
W Fan, B Jiang, X Wang, Y Yuan, J Zhu, X Wei, H Dai - eTransportation, 2024 - Elsevier
The low economic feasibility caused by inefficient testing and inaccurate performance
estimation is one of the main bottlenecks in the echelon utilization of large-scale retired …
estimation is one of the main bottlenecks in the echelon utilization of large-scale retired …
A review on the liquid cooling thermal management system of lithium-ion batteries
With the rapid progress of the new power automotive industry, the requirements for vehicle
range and charging ratio have gradually increased. With the high-speed cycling of batteries …
range and charging ratio have gradually increased. With the high-speed cycling of batteries …
QuantumShellNet: Ground-state eigenvalue prediction of materials using electronic shell structures and fermionic properties via convolutions
Efficient and precise characterization of material properties is critical in quantum mechanical
modeling. While Density Functional Theory (DFT) remains a foundational method for …
modeling. While Density Functional Theory (DFT) remains a foundational method for …