Nonlinear state feedback control of PEM fuel cell systems

Kim, Eung-Seok; Kim, Cherl-Jin

doi:10.1109/icems.2009.5382682

Cited by 4 publications

(4 citation statements)

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“…Initially, a linear observer based on a linearized model at the set point is designed using a Kalman filter and the linear-quadratic (LQ) Gaussian method [36,45]. Later, because of the highly nonlinear property of the model, sliding mode technique and algebraic observer design approach are applied in [46][47][48]. The sliding-mode technique is also applied to fault reconstruction and power conversion of fuel cell systems [49][50][51].…”

Section: Control Of Air and Hydrogen Supplymentioning

confidence: 99%

Challenges and developments of automotive fuel cell hybrid power system and control

Gao

et al. 2019

Sci. China Inf. Sci.

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Fuel cells are emerging as promising power sources and have attracted increasing attention from industries and academics worldwide. In particular, automotive manufacturers are replacing internal combustion engines in vehicles with fuel cell systems, which are advantaged by zero emissions, high efficiency, and various clean routes that generate pure hydrogen. However, current fuel cell systems are costly, and their corresponding infrastructures are not fully qualified to meet current market demand. This paper reviews the challenges and developments of automotive fuel cell hybrid power systems and their controls. It briefly summarizes the model, control, and optimization issue associated with the research and application of fuel cells in hybrid power systems. After presenting the basic knowledge and discussing the trending size and structure of fuel cells for automotive usage, the review describes models of automotive fuel cell systems, focusing on the electrochemical reaction dynamics and the key parameters influencing their efficiency and lifetime. The control problems associated with automotive fuel cell systems as well as the optimization issue associated with hybrid energy systems (comprising fuel cells, batteries, and ultra-capacitors) are elaborately analyzed. The review concludes with current problems and challenges faced by the energy control systems of fuel cell vehicles.

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Section: Control Of Air and Hydrogen Supplymentioning

confidence: 99%

Challenges and developments of automotive fuel cell hybrid power system and control

Gao

et al. 2019

Sci. China Inf. Sci.

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“…In this model, it is assumed that pure hydrogen gas is supplied to the anode from a hydrogen tank [4,7,8].…”

Section: Anode Pressure Modelmentioning

confidence: 99%

“…The anode pressure model is as follows [7,8] : The anode pressure observer model is as follows [7,8] :…”

Section: Anode Pressure Observermentioning

confidence: 99%

See 1 more Smart Citation

Observer Based Nonlinear State Feedback Control of PEM Fuel Cell Systems

Kim¹

2012

Journal of Electrical Engineering and Technology

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-In this paper, the observer based nonlinear state feedback controller has been developed to control the pressures of the oxygen and the hydrogen in the PEM(Proton Exchange Membrane) fuel cell system. Nonlinear model of the PEM fuel cell system was introduced to study the design problems of the state observer and model based controller. A cascade observer using the filtering technique was used to estimate the pressure derivatives of the cathode and the anode in the system. In order to estimate the pressures of the cathode and the anode, the sliding mode observer was designed by using these pressure derivatives. To estimate the oxygen pressure and the hydrogen pressure in the system, the nonlinear state observer was designed by using the cathode pressure estimates and the anode it. These results will be very useful to design the state feedback controller. The validity of the proposed observers and the controller has been investigated by using the Lyapunov's stability analysis strategy.

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