Control System Design of Power Tracking for PEM Fuel Cell Automotive Application

Chen, F. X.; Yu, Yang; Chen, J. X.

doi:10.1002/fuce.201600240

Cited by 16 publications

(9 citation statements)

References 23 publications

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“…Chen et al. proposed three control strategies for power tracking of PEM fuel cell system. A cascade control architecture has been adopted in the control framework due to the difference between the fast load current and slow air mass flow rate dynamics control variables.…”

Section: Introductionmentioning

confidence: 99%

A Novel Single Sensor Variable Step Size Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell Power System

Harrag

Bahri

2019

Fuel Cells

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This paper proposes a novel single sensor variable step size maximum power point tracking (MPPT) method for proton exchange membrane (PEM) fuel cell. This paper is a first, if modest, attempt to develop a single sensor MPPT for fuel cell systems. The proposed MPPT algorithm uses only one sensor to track the maximum power of PEM fuel system composed of 7 kW proton exchange membrane fuel cell (PEMFC) powering 50 Ω resistive load via a DC–DC boost converter driven using the proposed MPPT. The performances of the proposed controller have been evaluated using the implemented PEM fuel cell power system Matlab/Simulink model using two test scenarios considering temperature and hydrogen pressure variation. Simulation results show that the proposed controller can effectively track the maximum power point using only one sensor which reduces the cost as well as the complexity of the PEM fuel cell power system. Comparative results with the two sensors MPPT show that the two sensors MPPT outperforms the single sensor MPPT regarding the dynamic performances. However, the proposed single sensor MPPT performs better considering the static performances. In addition, the proposed controller reduces drastically the current ripple increasing by the way the fuel cell efficiency and lifetime by reducing the frequent trip due to over‐current and even harmonics.

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Section: Introductionmentioning

confidence: 99%

A Novel Single Sensor Variable Step Size Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell Power System

Harrag

Bahri

2019

Fuel Cells

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“…These works can be divided into two categories. The first category is based on extremum seeking strategies, such as maximum power point tracking . The second category is based on a parametric identification coupled with an optimization algorithm.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System

et al. 2018

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Output power of a fuel cell (FC) stack can be controlled through operating parameters (current, temperature, etc.) and is impacted by ageing and degradation. However, designing a complete FC model which includes the whole physical phenomena is very difficult owing to its multivariate nature. Hence, online identification of a FC model, which serves as a basis for global energy management of a fuel cell vehicle (FCV), is considerably important. In this paper, two well‐known recursive algorithms are compared for online estimation of a multi‐input semi‐empirical FC model parameters. In this respect, firstly, a semi‐empirical FC model is selected to reach a satisfactory compromise between computational time and physical meaning. Subsequently, the algorithms are explained and implemented to identify the parameters of the model. Finally, experimental results achieved by the algorithms are discussed and their robustness is investigated. The ultimate results of this experimental study indicate that the employed algorithms are highly applicable in coping with the problem of FC output power alteration, due to the uncertainties caused by degradation and operation condition variations, and these results can be utilized for designing a global energy management strategy in a FCV.

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“…Low stain and pollution, high power, less vulnerability and high lifetime are specified as advantages of the aforesaid systems. Among different types of fuel cells, PEMFCs have some benefits that make them applicable to be used in vehicles, distributed power and moveable generators .…”

Section: Introductionmentioning

confidence: 99%

Control of PEM Fuel Cell Systems Using Interval Type‐2 Fuzzy PID Approach

Aliasghary

2018

Fuel Cells

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In this study, an interval type‐2 fuzzy proportional–integral–derivative (IT2FPID) controller is designed to be used in the air flow regulation of polymer electrolyte membrane fuel cell (PEMFC) systems. The proposed controller is able to handle the effect of external disturbances and fix the oxygen excess ratio at an appropriate set‐point. Three crisp singletons for the output and two interval type‐2 membership functions for the inputs are defined for the suggested controller. Two conventional controllers including type‐1 fuzzy PID (T1FPID) and ordinary proportional–integral–derivative (PID) are also investigated to evaluate the performance and efficiency of this technique. The results of various simulations indicate that the IT2FPID controller has a better performance and transient response compared to the other approaches.

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Control System Design of Power Tracking for PEM Fuel Cell Automotive Application

Cited by 16 publications

References 23 publications

A Novel Single Sensor Variable Step Size Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell Power System

A Novel Single Sensor Variable Step Size Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell Power System

Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System

Control of PEM Fuel Cell Systems Using Interval Type‐2 Fuzzy PID Approach

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