A5056577350- Advanced Battery Technologies Research
- Electrocatalysts for Energy Conversion
- Fuel Cells and Related Materials
- Microgrid Control and Optimization
- Electric and Hybrid Vehicle Technologies
- Electric Vehicles and Infrastructure
- Power Systems and Renewable Energy
- Membrane-based Ion Separation Techniques
- Hybrid Renewable Energy Systems
- Pulsed Power Technology Applications
- Advanced Surface Polishing Techniques
- Advancements in Solid Oxide Fuel Cells
Wuhan University of Technology
2022-2024
Beijing Jiaotong University
2017
The water content of proton exchange membrane fuel cells (PEMFCs) affects the transport reactants and conductivity membrane. Effective management measures can improve performance extend lifespan cell. state stack is influenced by various external operating conditions, optimizing combination these conditions within stack. Considering that stack's internal resistance reflect its state, this study first establishes an resistance-operating condition model considers coupling effect temperature...
Abstract A bi‐level planning strategy of a hydrogen‐supercapacitor hybrid energy storage system (H‐S HESS) has been proposed in this study for wind power fluctuation suppression. The consists supercapacitor array and hydrogen unit, the an Energy Management Level Capacity Configuration Level. In upper level, with Hilbert–Huang transform frequency analysis, novel management based on adaptive allocation (APA) is designed. lower level applies multi‐objective Harris hawks optimizer to solve...
The output characteristics of the Proton-Exchange Membrane Fuel Cells (PEMFCs) are affected by multiple factors, but quantitatively describing relationships is challenging. In this paper, a semi-empirical dynamic model PEMFC established firstly. influence single factor on analyzed longitudinally. Then, derivative significance weight analysis based support vector regression (SVR-DSWA) algorithm proposed to analyze weights multi-factors characteristics, and optimal parameters combinations in...
Original scientific
武汉理工大学自动化学院 武汉 430070； 2. 武汉理工大学现代汽车零部件技术湖北省重点实验室 3. 中国地质大学(武汉)机械与电子信息学院 430074) 摘要：高压脉冲放电破碎岩石的过程是复杂的非线性过程，存在放电时间短且破岩效果难以预测的问题。因此，建立高压脉 冲破岩放电回路等效模型来描述破岩放电过程，提出基于改进的混沌灰狼优化(Gray wolf optimization, GWO)算法进行等效模 型参数辨识。首先采用改进的奇异值分解算法对破碎不同岩石过程的电流进行滤波。然后通过 6 种标准测试函数，证明了与 非线性最小二乘(Nonlinear least square, NLS)法、 遗传算法(Genetic algorithm, GA)、 粒子群优化(Particle swarm PSO) 算法和 GWO 算法相比，改进的混沌 算法具有更好的寻优性能。最后将改进的混沌 算法的参数辨识结果与其他