Model-based Control Strategy Research for the Hydrogen System of Fuel Cell

Li, Cheng; Li, Xiaowei; Jiang, Weihai

doi:10.1016/j.ifacol.2021.10.142

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…The development of precise and easy-to-use dynamical models for fuel cell stacks is a subject of current interest due to its complex dynamics that result from the interaction of multiple physical phenomena [ 14 ]. For example, in [ 35 ], the internal dynamics of a PEMFC are modeled with the use of three electrical equivalent circuits to capture complex electric, pneumatic, and thermal dynamics, which yields a high-order nonlinear system that is difficult to implement in simulations considering additional power converters dynamics.…”

Section: System Descriptionmentioning

confidence: 99%

“…Additionally, auxiliary systems (such as valves, pumps, and air compressors) are required in order to obtain a PEMFC energy generation system (EGS).Compared to green EGSs such as photovoltaic systems or wind turbines, PEMFC EGSs are a non-intermittent energy source that converts chemical energy to electrical energy, heat, and water via an exothermic reaction that consumes hydrogen and oxygen [ 9 ]. However, drawbacks such as its strongly nonlinear characteristics [ 10 ], slow dynamic response [ 11 ], lifetime reduction due to the fuel starvation phenomena (voltage drop due to a rapid load demand) [ 12 ], and unregulated output voltage make FCs require additional systems in order to increase their reliability and durability [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

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Passivity-Based Control for Output Voltage Regulation in a Fuel Cell/Boost Converter System

et al. 2023

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In this paper, a passivity-based control (PBC) scheme for output voltage regulation in a fuel-cell/boost converter system is designed and validated through real-time numerical results. The proposed control scheme is designed as a current-mode control (CMC) scheme with an outer loop (voltage) for voltage regulation and an inner loop (current) for current reference tracking. The inner loop’s design considers the Euler–Lagrange (E-L) formulation to implement a standard PBC and the outer loop is implemented through a standard PI controller. Furthermore, an adaptive law based on immersion and invariance (I&I) theory is designed to enhance the closed-loop system behavior through asymptotic approximation of uncertain parameters such as load and inductor parasitic resistance. The closed-loop system is tested under two scenarios using real-time simulations, where precision and robustness are shown with respect to variations in the fuel cell voltage, load, and output voltage reference.

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Section: System Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Passivity-Based Control for Output Voltage Regulation in a Fuel Cell/Boost Converter System

et al. 2023

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“…Wang et al [22] developed three control methods, including PID, fuzzy PID control, and PID coupled with model predictive control (PID-MPC), to address the response hysteresis issue. Li et al [23] used model feedforward combined with PID feedback control methods to achieve dynamic decoupling of the fuel cell hydrogen system and precise control of the hydrogen flow, pressure, and hydrogen permeation ratio. Huang et al [24] established a new quasi-two-dimensional ejector model by considering the flow phenomena of the boundary layer, shock train, and mixing layer.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Control of Ejector-Based Hydrogen Circulation System for Proton Exchange Membrane Fuel Cell Systems

Xu,

Liu,

Tong

et al. 2024

Energies

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Ejector-based proton exchange membrane fuel cells (PEMFCs) are of great interest due to their simplicity and feasibility. Thus, proton exchange membrane fuel cells are considered the most suitable technology for in-vehicle systems, industrial applications, etc. Despite the passive characteristics of the ejector, active control of the hydrogen supply system is needed to ensure sufficient hydrogen, maintain the stack pressure, and ensure effective entrainment. In this research, a novel semi-empirical model is proposed to accurately predict the entrainment performance of the ejector with an 80 kW fuel cell system. According to the precise semi-empirical model, the hydrogen supply system and the anode channel are modeled. Then, a fuzzy logic controller (FLC) is developed to supply sufficient and adequate gas flow and maintain the rapid dynamic response. Compared to the conventional proportional–integral–derivative controller, the fuzzy logic controller could reduce the anode pressure variability by 5% during a stepped case and 2% during a dynamic case.

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Design and evaluation of adaptive neural fuzzy-based pressure control for PEM fuel cell system

2022

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Model-based Control Strategy Research for the Hydrogen System of Fuel Cell

Cited by 6 publications

References 6 publications

Passivity-Based Control for Output Voltage Regulation in a Fuel Cell/Boost Converter System

Passivity-Based Control for Output Voltage Regulation in a Fuel Cell/Boost Converter System

Modeling and Control of Ejector-Based Hydrogen Circulation System for Proton Exchange Membrane Fuel Cell Systems

Design and evaluation of adaptive neural fuzzy-based pressure control for PEM fuel cell system

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