Feedback linearization-based MIMO model predictive control with defined pseudo-reference for hydrogen regulation of automotive fuel cells
出版年份 2021 全文链接
标题
Feedback linearization-based MIMO model predictive control with defined pseudo-reference for hydrogen regulation of automotive fuel cells
作者
关键词
Proton exchange membrane fuel cell (PEMFC), Hydrogen excess ratio (HER), Balance of the pressure difference, Feedback linearization, Model predictive control (MPC), Pseudo-reference
出版物
APPLIED ENERGY
Volume 293, Issue -, Pages 116919
出版商
Elsevier BV
发表日期
2021-04-21
DOI
10.1016/j.apenergy.2021.116919
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Hydrogen circulation system model predictive control for polymer electrolyte membrane fuel cell-based electric vehicle application
- (2020) Hongwen He et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Control logics and strategies for air supply in PEM fuel cell engines
- (2020) Junbo Hou et al. APPLIED ENERGY
- Design and implementation of model predictive control for an open-cathode fuel cell thermal management system
- (2020) Bo Zhang et al. RENEWABLE ENERGY
- Hierarchical model predictive control via deep learning vehicle speed predictions for oxygen stoichiometry regulation of fuel cells
- (2020) Xuechao Wang et al. APPLIED ENERGY
- Anode purge management for hydrogen utilization and stack durability improvement of PEM fuel cell systems
- (2020) Zhiyang Liu et al. APPLIED ENERGY
- Model Predictive Control With Lifetime Constraints Based Energy Management Strategy for Proton Exchange Membrane Fuel Cell Hybrid Power Systems
- (2020) Hongwen He et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Anti-disturbance control of oxygen feeding for vehicular fuel cell driven by feedback linearization model predictive control-based cascade scheme
- (2020) Jinzhou Chen et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Enhancing fuel cell durability for fuel cell plug-in hybrid electric vehicles through strategic power management
- (2019) Hongtao Zhang et al. APPLIED ENERGY
- Oxygen excess ratio control for proton exchange membrane fuel cell using model reference adaptive control
- (2019) Jaeyoung Han et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Oxygen excess ratio control of PEM fuel cells using observer-based nonlinear triple-step controller
- (2019) Yan Ma et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Influencing sensitivities of critical operating parameters on PEMFC output performance and gas distribution quality under different electrical load conditions
- (2019) Huicui Chen et al. APPLIED ENERGY
- Model predictive control (MPC) strategies for PEM fuel cell systems – A comparative experimental demonstration
- (2018) Chrysovalantou Ziogou et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Disturbance-Observer-Based Control for Air Management of PEM Fuel Cell Systems via Sliding Mode Technique
- (2018) Jianxing Liu et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Optimal Feedback Linearization Control of Interior PM Synchronous Motors Subject to Time-Varying Operation Conditions Minimizing Power Loss
- (2018) Farhad Aghili IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations
- (2018) N. Sulaiman et al. APPLIED ENERGY
- Data-driven oxygen excess ratio control for proton exchange membrane fuel cell
- (2018) Li Sun et al. APPLIED ENERGY
- Anode recirculation and purge strategies for PEM fuel cell operation with diluted hydrogen feed gas
- (2018) Michael Steinberger et al. APPLIED ENERGY
- Solid oxide fuel cell hybrid system: A detailed review of an environmentally clean and efficient source of energy
- (2018) U.M. Damo et al. ENERGY
- Optimal Oxygen Excess Ratio Control for PEM Fuel Cells
- (2017) Jian Chen et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Direct Torque Control With Feedback Linearization for Induction Motor Drives
- (2017) Cristian Lascu et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- MPC for Robot Manipulators With Integral Sliding Modes Generation
- (2017) Gian Paolo Incremona et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Robust control of internal states in a polymer electrolyte membrane fuel cell air-feed system by considering actuator properties
- (2017) Liangfei Xu et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Control structure design and robust model predictive control for controlling a proton exchange membrane fuel cell
- (2017) Narissara Chatrattanawet et al. JOURNAL OF CLEANER PRODUCTION
- Recent advances and challenges of fuel cell based power system architectures and control – A review
- (2017) Vipin Das et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A review on state of art development of model predictive control for renewable energy applications
- (2017) W. Razia Sultana et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Nonlinear MPC Controller Design for AIR Supply of PEM Fuel Cell Based Power Systems
- (2016) Quan Ouyang et al. ASIAN JOURNAL OF CONTROL
- Nonlinear predictive control for durability enhancement and efficiency improvement in a fuel cell power system
- (2016) Julio Luna et al. JOURNAL OF POWER SOURCES
- Stochastic linear Model Predictive Control with chance constraints – A review
- (2016) Marcello Farina et al. JOURNAL OF PROCESS CONTROL
- Feedforward fuzzy-PID control for air flow regulation of PEM fuel cell system
- (2015) Kai Ou et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Real-Time Control for Air Excess Ratio of a PEM Fuel Cell System
- (2013) Ya-Xiong Wang et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Feedback-Linearization-Based Nonlinear Control for PEM Fuel Cells
- (2008) Woon Ki Na et al. IEEE TRANSACTIONS ON ENERGY CONVERSION
- Analysis and control of a hybrid fuel delivery system for a polymer electrolyte membrane fuel cell
- (2008) Jinglin He et al. JOURNAL OF POWER SOURCES
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