A5064839433- Fuel Cells and Related Materials
- Electrocatalysts for Energy Conversion
- Advanced battery technologies research
- Advanced Battery Technologies Research
- Power Systems and Technologies
- Smart Grid and Power Systems
- Advancements in Solid Oxide Fuel Cells
- Advanced Decision-Making Techniques
- Advanced Computational Techniques and Applications
- Fluid Dynamics and Mixing
- Advanced Numerical Analysis Techniques
- Advanced Measurement and Metrology Techniques
- Advanced machining processes and optimization
- Advanced Algorithms and Applications
- Advanced Battery Materials and Technologies
- Mesoporous Materials and Catalysis
- Membrane-based Ion Separation Techniques
- Advanced Sensor and Control Systems
- Advancements in Battery Materials
- Heat Transfer and Boiling Studies
- Catalysis and Hydrodesulfurization Studies
- Nuclear Engineering Thermal-Hydraulics
- Machine Learning in Materials Science
- Electricity Theft Detection Techniques
- Magnetic Properties and Applications
RWTH Aachen University
2023-2024
Chinese Academy of Sciences
2007-2023
Northeast Electric Power University
2010-2023
Zhuhai Institute of Advanced Technology
2023
Dalian Institute of Chemical Physics
2007-2022
State Grid Hebei Electric Power Company
2022
University of Chinese Academy of Sciences
2020-2021
Dalian National Laboratory for Clean Energy
2021
Shenyang University of Technology
2019
Tongji University
2018
A realistic accelerated stress test (AST) was derived by applying the worldwide harmonized light vehicles cycle on a proton exchange membrane fuel cell (PEMFC) electric vehicle to analyze degradation mechanisms in cells used automotive applications. Two commercial PEMFC stacks were tested using AST profile at different air inlet relative humidities (50% and 70%). After 173.5 h, show rates of up 452 μV h−1 (after 147.5 h 247 for second stack) 1.0 cm−2. Neither open circuit voltage nor high...
An algorithm to realistically shorten the test duration of accelerated stress tests based on driving cycles was developed. This considers all relevant operation conditions fuel cell and its reactants eliminates non-degradation-inducing periods from original load profile. It consists four sub-algorithms representing most critical states in electric vehicles (FCEVs): Voltage cycling, idling, humidity cycling high operation. To prove algorithm's functionality, profile derived measurement data a...
An esterified nanofibre electrode with enhanced dimensional stability has been proposed for proton exchange membrane fuel cells.
Thermal error of a CNC machine tool has serious effect on its machining accuracy. In order to reduce the thermal error, establishing an accurate and robust model is necessary. A new data-driven proposed based gray wolf optimizer (GWO) least squares support vector (LSSVM). While, three temperature-sensitivity points (TSPs) were picked by grouping search method. With optimizing hyperparameters γ σ2 GWO algorithm, LSSVM applied modeling, which advantages in dealing with small samples nonlinear...
The major challenges for the commercialization of proton exchange membrane fuel cells (PEMFCs) are durability and cost. Prognostics health management technology enable appropriate decisions maintenance measures by estimating current state predicting degradation trend, which can help extend life reduce costs PEMFCs. This paper proposes an online model-based prognostics method to estimate trend remaining useful A non-linear empirical model is proposed based on aging test, then three variables,...
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