[HTML][HTML] A review of physics-based and data-driven models for real-time control of polymer electrolyte membrane fuel cells

J Zhao, X Li, C Shum, J McPhee - Energy and AI, 2021 - Elsevier
The real-time model-based control of polymer electrolyte membrane (PEM) fuel cells
requires a computationally efficient and sufficiently accurate model to predict the transient …

Classification, summarization and perspective on modeling techniques for polymer electrolyte membrane fuel cell

X Zhao, Y Zhou, L Wang, B Pan, R Wang… - International Journal of …, 2023 - Elsevier
Abstract Proton Exchange Membrane Fuel cell (PEMFC) model is helpful to understand the
physical and chemical properties of the PEMFC and predict the performance of the PEMFC …

Data-driven reinforcement-learning-based hierarchical energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles

H Sun, Z Fu, F Tao, L Zhu, P Si - Journal of Power Sources, 2020 - Elsevier
A reinforcement-learning-based energy management strategy is proposed in this paper for
managing energy system of Fuel Cell Hybrid Electric Vehicles (FCHEV) equipped with three …

A novel equivalent consumption minimization strategy for hybrid electric vehicle powered by fuel cell, battery and supercapacitor

H Li, A Ravey, A N'Diaye, A Djerdir - Journal of Power Sources, 2018 - Elsevier
The aim of this paper is to present a sequential quadratic programming (SQP) based
equivalent consumption minimum strategy (ECMS)(SECMS) for fuel cell hybrid electric …

Real-time simulation of a wind turbine generator coupled with a battery supercapacitor energy storage system

W Li, G Joós, J Bélanger - IEEE Transactions on Industrial …, 2009 - ieeexplore.ieee.org
Wind power generation studies of slow phenomena using a detailed model can be difficult to
perform with a conventional offline simulation program. Due to the computational power and …

An integrated predictive energy management for light-duty range-extended plug-in fuel cell electric vehicle

Y Zhou, H Li, A Ravey, MC Péra - Journal of Power Sources, 2020 - Elsevier
A reliable power distribution strategy is of great significance towards the performance
enhancement of fuel cell electric vehicles. In this work, a novel model predictive control …

A comprehensive system-level model for performance evaluation of proton exchange membrane fuel cell system with dead-ended anode mode

BB Hu, ZG Qu, WQ Tao - Applied Energy, 2023 - Elsevier
In this study, a comprehensive system-level model was developed for a proton exchange
membrane fuel cell (PEMFC) system with a dead-ended anode (DEA) mode. The global …

Battery-degradation-involved energy management strategy based on deep reinforcement learning for fuel cell/battery/ultracapacitor hybrid electric vehicle

H Lu, F Tao, Z Fu, H Sun - Electric Power Systems Research, 2023 - Elsevier
To acquire an optimal way to solve the energy management strategy (EMS) of fuel cell
hybrid electric vehicles (FCHEVs), most of existing research focuses too much on the …

Semi-physical modeling and control of a centrifugal compressor for the air feeding of a PEM fuel cell

D Zhao, L Xu, Y Huangfu, M Dou, J Liu - Energy Conversion and …, 2017 - Elsevier
Air compressor which is to used to deliver the air (including about 21% oxygen) to the
cathode channel for electrochemical reaction is a crucial component for the polymer …

Terrain information-involved power allocation optimization for fuel cell/battery/ultracapacitor hybrid electric vehicles via an improved deep reinforcement learning

F Tao, H Gong, Z Fu, Z Guo, Q Chen, S Song - Engineering Applications of …, 2023 - Elsevier
As for fuel cell hybrid electric vehicles (FCHEV) powered by fuel cell, battery, and
ultracapacitor, its complex topology structure and the variable terrain environment bring …