Fuzzy logic MPPT control algorithm for a Proton Exchange Membrane Fuel Cells System

Fuel cells output power depends on the operating conditions, including cell temperature, oxygen pressure, hydrogen pressure, tempureter . In each particular condition, there is only one unique operating point for a fuel cell system with the maximum output. Thus, a maximum power point tracking (MPPT) controller is needed to increase the efficiency of the PEMFC systems. In this paper an efficient method fuzzy logic controller is proposed for MPPT of the proton exchange membrane (PEM) fuel cells, boost converter. FLC adjusts the operating point of the PEM fuel cell to the maximum power by tuning of the boost converter duty cycle. To demonstrate the performance of the proposed algorithm, simulation results are sumulated in two cases, in normel condution and variation in temperature .the FLC algorithm with fast convergence, high accuracy and very low power fluctuations tracks the maximum power point of the fuel cell system

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Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System

IEEE Access ◽

10.1109/access.2021.3129849 ◽

2021 ◽

pp. 1-1

Author(s):

Jye Yun Fam ◽

Shen Yuong Wong ◽

Hazrul Mohamed Basri ◽

Mohammad Omar Abdullah ◽

Kasumawati Lias ◽

...

Keyword(s):

Fuel Cell ◽

Proton Exchange Membrane ◽

Cell System ◽

Proton Exchange ◽

Fuel Cell System ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Power Point ◽

Exchange Membrane

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Maximum power point tracking of a proton exchange membrane fuel cell system using PSO-PID controller

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2017.06.208 ◽

2017 ◽

Vol 42 (32) ◽

pp. 20430-20443 ◽

Cited By ~ 32

Author(s):

S. Ahmadi ◽

Sh. Abdi ◽

M. Kakavand

Keyword(s):

Pid Controller ◽

Proton Exchange Membrane ◽

Cell System ◽

Proton Exchange ◽

Fuel Cell System ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Power Point ◽

Exchange Membrane

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Novel Neural network single sensor MPPT for Proton Exchange Membrane Fuel Cell

Journal of New Materials for Electrochemical Systems ◽

10.14447/jnmes.v24i1.a08 ◽

2021 ◽

Vol 24 (1) ◽

pp. 43-48

Author(s):

Abdelghani Harrag

Keyword(s):

Neural Network ◽

Fuel Cell ◽

Proton Exchange Membrane ◽

Proton Exchange ◽

Maximum Power ◽

Maximum Power Point ◽

Point Tracking ◽

Single Sensor ◽

Power Point ◽

Exchange Membrane

This paper presents a new neural network single sensor maximum power point tracking algorithm controlling the DC-DC boost converter to guarantee the transfer of the proton exchange membrane fuel cell maximum generated power to the load. The implemented neural network single sensor controller has been developed and trained firstly in offline mode using single sensor maximum power point tracking data obtained previously; and secondly used in online mode to track the maximum output power of the fuel cell power system. Comparative simulation results prove the superiority of the proposed neural network single sensor maximum power point compared to the single sensor one especially in transit response reducing by the way the overshoot and the tracking time which leads to an overall energy losses reduction. In addition, the implemented neural network single sensor MPPT employs only one sensor which will reduce the complexity and the cost of PEM fuel cell power system. To our knowledge, this study is a pioneering work using a neural network single sensor controller as PEM fuel cell MPPT.

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Numerical Study and Optimisation of Channel Geometry and Gas Diffusion Layer of a PEM Fuel Cell

ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology ◽

10.1115/fuelcell2012-91269 ◽

2012 ◽

Author(s):

Surajudeen O. Obayopo ◽

Tunde Bello-Ochende ◽

Josua P. Meyer

Keyword(s):

Fuel Cells ◽

Fuel Cell ◽

Diffusion Layer ◽

Proton Exchange Membrane ◽

Pem Fuel Cell ◽

Gas Diffusion ◽

Cell System ◽

Proton Exchange ◽

Fuel Cell System ◽

Exchange Membrane

Fuel cell technology offers a promising alternative to conventional fossil fuel energy sources. Proton exchange membrane fuel cells (PEMFC) in particular have become sustainable choice for the automotive industries because of its low pollution, low noise and quick start-up at low temperatures. Researches are on-going to improve its performance and reduce cost of this class of energy systems. In this work, a novel approach to optimise proton exchange membrane (PEM) fuel cell gas channels in the systems bipolar plates with the aim of globally optimising the overall system net power performance at minimised pressure drop and subsequently low pumping power requirement for the reactant species gas was carried out. In addition, the effect of various gas diffusion layer (GDL) properties on the fuel cell performance was examined. Simulations were done ranging from 0.6 to 1.6 mm for channel width, 0.5 to 3.0 mm for channel depth and 0.1 to 0.7 for the GDL porosity. A gradient based optimisation algorithm is implemented which effectively handles an objective function obtained from a computational fluid dynamics simulation to further enhance the obtained optimum values of the examined multiple parameters for the fuel cell system. The results indicate that effective match of reactant gas channel and GDL properties enhance the performance of the fuel cell system. The numerical results computed agree well with experimental data in the literature. Consequently, the results obtained provide useful information for improving the design of fuel cells.

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