A5006918284- Fuel Cells and Related Materials
- Advanced Battery Technologies Research
- Electric and Hybrid Vehicle Technologies
- Real-time simulation and control systems
- Electrocatalysts for Energy Conversion
- Microgrid Control and Optimization
- Advanced DC-DC Converters
- Advancements in Solid Oxide Fuel Cells
- Silicon Carbide Semiconductor Technologies
- Multilevel Inverters and Converters
- Electric Vehicles and Infrastructure
- Smart Grid Energy Management
- Radiation Effects in Electronics
- Industrial Technology and Control Systems
- Advanced Sensor and Control Systems
- Wireless Sensor Networks and IoT
- Advancements in Battery Materials
- Fault Detection and Control Systems
- HVDC Systems and Fault Protection
- Advanced battery technologies research
- Power Systems and Renewable Energy
- Islanding Detection in Power Systems
- Structural Load-Bearing Analysis
- Modeling and Simulation Systems
- Electromagnetic Compatibility and Noise Suppression
Université de technologie de belfort-montbéliard
2016-2025
Centre National de la Recherche Scientifique
2016-2025
Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies
2016-2025
State Key Laboratory of Industrial Control Technology
2023-2025
Baoji University of Arts and Sciences
2025
Xinyang Normal University
2025
Indian Institute of Technology Kharagpur
2020-2024
University of Applied Sciences Emden Leer
2020-2024
Budapest University of Technology and Economics
2020-2024
École de Technologie Supérieure
2020-2024
An accurate algorithm for lithium polymer battery state-of-charge (SOC) estimation is proposed based on adaptive unscented Kalman filters (AUKF) and least-square support vector machines (LSSVM). A novel approach using the moving window method applied, with AUKF LSSVM to accurately establish model limited initial training samples. The effectiveness of modeling validated by both simulations experimental results. measurement equation established has advantage adaptively adjusting noise...
In this paper, an online energy management control strategy is proposed based on a novel fractional-order extremum seeking (ES) method. The method adaptive optimization algorithm, which can be effectively used in the applications of fuel cell hybrid electric vehicles. Compared with traditional integer-order ES method, presented uses Oustaloup approximation calculus order to achieve faster convergence speed and higher robustness. A detailed mathematical analysis give stability proof shows how...
The hybrid-energy storage systems (ESSs) are promising eco-friendly power converter devices used in a wide range of applications. However, their insufficient lifespan is one the key issues by hindering large-scale commercial application. In order to extend hybrid-ESSs, cost functions proposed this paper include degradation hydrogen and battery. Indeed, aims develop sophisticated model predictive control strategy for grid-connected wind solar microgrid, which includes hydrogen-ESS,...
Abstract A coordinated scheduling model based on two-stage distributionally robust optimization (TSDRO) is proposed for integrated energy systems (IESs) with electricity-hydrogen hybrid storage. The problem of the IES divided into two stages in TSDRO-based model. first stage addresses day-ahead optimal under deterministic forecasting information, while second uses a method to determine intraday rescheduling high-order uncertainties, building upon results stage. also considers collaboration...
The intermittency of renewable energy sources (RESs) leads to the incorporation storage systems into microgrids (MGs). In this article, a novel strategy based on model predictive control is proposed for management wind–solar MG composed RESs and hydrogen system. system involved in daily regulation service markets, characterized by different timescales. long-term operations related market are managed high-layer control, which schedules production consumption meet load demand, maximizes...
In this paper, a robust voltage control is designed for floating interleaved boost converter with high gain. The proposed controller has an inner loop based on super-twisting sliding mode algorithm, which continuous signal and the surface defined inductor current. reference current value generated by active disturbance rejection (ADRC) algorithm in outer loop, output error. stability of ADRC are proven using Lyapunov theorem Routh-Hurwitz criteria, respectively. robustness analyzed depth,...
In this paper, a multiphysical proton exchange membrane fuel cell stack model, which is suitable for real-time emulation presented. The model covers three physical domains: electrical, fluidic, and thermal. A Ballard 1.2 kW 47 cells introduced. corresponding system auxiliary models are given based on experimental tests. Based the modeling equations, dynamic phenomena in different domains analyzed time constant expressions given. Using emulator buck converter used to emulate electrical part....
Environmental issues, especially global warming due to the greenhouse effect, have become more and critical in recent decades. As one potential candidate among different alternative "green energy" solutions for sustainable development, proton exchange membrane fuel cell (PEMFC) has received extensive research attention many years energy transportation applications. However, relatively short lifespan of PEMFCs operating under non-steady-state conditions (for vehicles, example) impedes its...
Energy management strategy (EMS) is the key to performance of fuel cell / battery hybrid system. At present, reinforcement learning (RL) has been introduced into this field and gradually become focus research. However, traditional EMSs only take energy consumption consideration when optimizing operation economy, ignore cost caused by power source degradations. It would cause problem poor economy regarding Total Cost Ownership (TCO). On other hand, most studied RL algorithms have...
This paper proposes a novel error correction grey prediction model for degradation of renewable energy storages. The proposed approach uses an factor ψ to eliminate the inherent original (GM), and at same time retain simplicity fast prototyping. In addition, due uncertainty complexity failure mechanisms, trigonometric residual modification is considered in order well-describe influence operating conditions or cyclic fluctuation on Two experimental case studies, including lithium-ion battery...
In the more electric aircraft context, dc distribution systems have a time-varying structure due to flexible distributed loads and complex operation conditions. This feature poses challenges for system stability increases difficulty of analysis. Besides, risk instability may be increased under constant power load condition negative incremental impedance characteristic. To this end, article proposes an improved interconnection damping assignment passivity-based control scheme. Particularly,...