Skip to main content

Advertisement

Log in

A New single switch DC-DC converter for PEM fuel cell-based electric vehicle system with an improved beta-fuzzy logic MPPT controller

  • Fuzzy systems and their mathematics
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

The fuel cell-based electric power generation system is playing a major role in the present electrical power distribution system. The fuel cell gives a nonlinear V-I curve. As a result, the extraction of fuel cell power is very difficult. To extract the peak power of the fuel cell, a Maximum Power Point Tracking (MPPT) technique is used. In this work, an Improved Beta-based Fuzzy Logic Controller (IBeta-FLC) is proposed to track the MPP with high speed. The proposed MPPT technique is compared with other hybrid MPPT techniques in terms of maximum power extraction, settling time, oscillations across MPP, tracking speed, and efficiency. The Proton Exchange Membrane Fuel Cell (PEMFC) stack gives high output current, and low output voltage. As a result, the overall system conduction losses are improved. So, in this work, a new Single Switch Universal Input-voltage Boost Converter (SSUIBC) is introduced to step-up the fuel cell output voltage. The features of the proposed boost converter are high voltage gain, less complexity in design, wide output operation, and less voltage stress across the switch. The proposed PEMFC fed boost converter system performance is evaluated successfully by using a MATLAB/Simulink window. In addition, the utilized boost converter is investigated experimentally by using an external DC-source.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18

Similar content being viewed by others

Data availability

The authors confirm that the data supporting the findings of this work are available within the article.

Abbreviations

SSUIBC:

Single Switch Universal Input-voltage Boost Converter

IR:

Incremental Resistance

V FC :

Voltage of PEMFC stack

I FC :

Current of PEMFC stack

IHC-FLC:

Improved Hill Climb-based Fuzzy Logic Controller

VSS-P&O:

Variable Step Size Perturb & Observe

ZVS:

Zero Voltage Switching

IDD:

Interleaved Dual Diode

CCM:

Continuous Conduction Mode of Operation

DCM:

Discontinuous Conduction Mode of Operation

V Ohmic :

Ohmic region voltage of PEMFC

V Active :

Active region voltage of PEMFC

V Concen :

Concentrated region voltage of PEMFC

T FCop :

PEMFC operating voltage

\({P}_{{\mathrm{H}}_{2}}\) :

Hydrogen partial pressure

\({\mathrm{O}}_{{\mathrm{H}}_{2}}\) :

Oxygen partial pressure

RHAno :

Humidity vapor at anode of PEMFC

RHCat :

Humidity vapor at cathode of PEMFC

PAno :

Inlet pressure of anode in PEMFC

PCat :

Inlet pressure of cathode in PEMFC

\({\mathrm{P}}_{{\mathrm{H}}_{2}\mathrm{o}}^{\mathrm{Sat}}\) :

Saturation pressure of water vapor

J = I cell/A:

Variation of fuel cell current with respect to its area

R ef :

Specific resistivity of electrolyte

\({X}_{1}^{(1)}={{V}}_{\mathrm{FC}}\) :

Input layer first node input

\({X}_{2}^{(1)}={{I}}_{\mathrm{FC}}\) :

Input layer second node input

\({\mathrm{net}}_{P}^{(1)}\) :

Input layer net input

\({Y}_{P}^{\left(1\right)}(k)\) :

Input layer output

\({\mathrm{net}}_{q}^{(1)}\) :

Second layer net input

\({Y}_{q}^{\left(1\right)}(k)\) :

Second layer output

\({\Sigma }_{\mathrm{q}}\) :

Gaussian membership function mean

\({\mu }_{q}\) :

Standard mean value

\({\mathrm{net}}_{r}^{(3)}\) :

Output layer output node net input

\({Y}_{q}^{\left(1\right)}(k)\) :

Output layer output node output

W:

Weight connected between two neurons

S P :

Slope of the V-I curve

S T_new :

New step size value of FLC- VSSIC

S T_old :

Previous step size value of FLC- VSSIC

V Lx, V Ly and V Lz :

SSUIBC Inductor voltages

D(k-1), and D(k) :

Variation of duty values

V Cx, V Cy and V Ca :

Capacitor voltages of SSUIBC

I Lx, I Ly, and I Lz :

Inductor currents of SSUIBC

V Dx, V Dy, V Dz :

Diode voltages of boost converter

GainCCM :

Gain of SSUIBC under CCM

GainDCM :

Gain of SSUIBC under DCM

error:

Resultant signal of RBFN controller

V D /V 0 :

Diode voltage stress of converter

V Q /V 0 :

MOSFET voltage stress of converter

References

  • Ahmad S (2020) Design and analysis of a single switch DC–DC boost converter based on voltage lift technique. Diss. Department of Electrical and Electronic Engineering

  • Alajmi BN et al (2010) Fuzzy-logic-control approach of a modified hill-climbing method for maximum power point in microgrid standalone photovoltaic system. IEEE Trans Power Electron 26(4):1022–1030

    Article  Google Scholar 

  • Alaswad A et al (2021) Technical and commercial challenges of proton-exchange membrane (PEM) fuel cells. Energies 14(1):144

    Article  Google Scholar 

  • Aly M, Rezk H (2020) A differential evolution-based optimized fuzzy logic MPPT method for enhancing the maximum power extraction of proton exchange membrane fuel cells. IEEE Access 8:172219–172232

    Article  Google Scholar 

  • Banham D et al (2018) Critical advancements in achieving high power and stable nonprecious metal catalyst–based MEAs for real-world proton exchange membrane fuel cell applications. Sci Adv 4(3):1eaa117180

    Article  Google Scholar 

  • Fu Z et al (2021) Research on energy management strategy of fuel cell power generation system based on Grey–Markov chain power prediction. Energy Rep 7:319–325

    Article  Google Scholar 

  • Garrigós A et al (2019) Interleaved, switched-inductor, multi-phase, multi-device DC/DC boost converter for non-isolated and high conversion ratio fuel cell applications. Int J Hydrogen Energy 44(25):12783–12792

    Article  Google Scholar 

  • Habib M, Khoucha F, Harrag A (2017) GA-based robust LQR controller for interleaved boost DC–DC converter improving fuel cell voltage regulation. Electric Power Syst Res 152:438–456

    Article  Google Scholar 

  • Harrag A, Messalti S (2017) Variable step size IC MPPT controller for PEMFC power system improving static and dynamic performances. Fuel Cells 17(6):816–824

    Article  Google Scholar 

  • Harrag A, Messalti S (2018) How fuzzy logic can improve PEM fuel cell MPPT performances? Int J Hydrogen Energy 43(1):537–550

    Article  Google Scholar 

  • Harrag A, Rezk H (2021) Indirect P&O type-2 fuzzy-based adaptive step MPPT for proton exchange membrane fuel cell. Neural Comput Appl 1–14

  • Hasanpour S et al (2020) New semiquadratic high step-up DC/DC converter for renewable energy applications. IEEE Trans Power Electron 36(1):433–446

    Article  Google Scholar 

  • Ijaodola OS et al (2019) Energy efficiency improvements by investigating the water flooding management on proton exchange membrane fuel cell (PEMFC). Energy 179:246–267

    Article  Google Scholar 

  • Kaur R et al (2017) A novel proton exchange membrane fuel cell based power conversion system for telecom supply with genetic algorithm assisted intelligent interfacing converter. Energy Conver Manage 136:173–183

    Article  Google Scholar 

  • Kurnia JC et al (2021) Progress on open cathode proton exchange membrane fuel cell: Performance, designs, challenges and future directions. Appl Energy 283:116359

    Article  Google Scholar 

  • Li X et al (2020b) A novel assorted nonlinear stabilizer for DC–DC multilevel boost converter with constant power load in DC microgrid. IEEE Trans Power Electron

  • Li G et al (2020a) A novel quadratic boost converter with low inductor currents. CPSS Trans Power Electron Appl 5(1):1–10

    Article  Google Scholar 

  • Lin-Kwong-Chon C et al (2019) A review of adaptive neural control applied to proton exchange membrane fuel cell systems. Ann Rev Control 47:133–154

    Article  MathSciNet  Google Scholar 

  • Ma R et al (2019) Advanced robustness control of DC–DC converter for proton exchange membrane fuel cell applications. IEEE Trans Ind Appl 55(6):6389–6400

    Article  Google Scholar 

  • Mallick N, Mukherjee V (2020) Maximum power point tracking supported proton exchange membrane fuel cell based intelligent dynamic voltage restorer. Int J Hydrogen Energy 45(53):29271–29287

    Article  Google Scholar 

  • Naseri N et al (2018) Proton exchange membrane fuel cell modelling and power control by P&O algorithm. In: 2018 6th International Renewable and Sustainable Energy Conference (IRSEC). IEEE

  • Sadaghati F et al (2020) A high step-up transformer-less DC–DC converter with continuous input current. In: 2020 11th power electronics, drive systems, and technologies conference (PEDSTC). IEEE

  • Salvado MB et al (2021) Towards the understanding of transport limitations in a proton-exchange membrane fuel cell catalyst layer: performing agglomerate scale direct numerical simulations on electron-microscopy-based geometries. J Power Sources 482:228893

    Article  Google Scholar 

  • Shetty N, Chakrasali RL (2020) Power management in a hybrid grid involving photo voltaic and proton exchange membrane fuel cell. Sensor Lett 18(4):259–267

    Article  Google Scholar 

  • Srinivasan S et al (2021) Neural network based MPPT control with reconfigured quadratic boost converter for fuel cell application. Int J Hydrogen Energy 46(9):6709–6719

    Article  Google Scholar 

  • Thounthong P et al (2021) Design and control of multiphase interleaved boost converters-based on differential flatness theory for PEM fuel cell multi-stack applications. Int J Electr Power Energy Syst 124:106346

    Article  Google Scholar 

  • Török L et al (2019) Optimization of isolated DC-DC converter topologies for fuel cell applications. In: 2019 21st European Conference on Power Electronics and Applications (EPE'19 ECCE Europe). IEEE

  • Uthirasamy R et al (2020) Extended Boost DC-DC-AC converter for electric vehicle applications. In: IOP conference series: materials science and engineering, vol. 937. No. 1. IOP Publishing

  • Villarreal-Hernandez CA et al (2020) A double dual boost converter with switching ripple cancellation for PEMFC systems. Electronics 9(10):1592

    Article  Google Scholar 

  • Youn H-S et al (2020) Study on boost converters with high power-density for hydrogen-fuel-cell hybrid railway system. Electronics 9(5):771

    Article  Google Scholar 

  • Zakaria Z et al (2021) The progress of fuel cell for malaysian residential consumption: Energy status and prospects to introduction as a renewable power generation system. Renew Sustain Energy Rev 144:110984

    Article  Google Scholar 

  • Zhang Li, Wang N (2018) Application of coRNA-GA based RBF-NN to model proton exchange membrane fuel cells. Int J Hydrogen Energy 43(1):329–340

    Article  Google Scholar 

  • Zhou M et al (2019) Research on composite control strategy of quasi-Z-source DC–DC converter for fuel cell vehicles. Appl Sci 9(16):3309

    Article  Google Scholar 

Download references

Funding

The article is not receiving any funding.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. H. Hussaian Basha.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Basha, C.H.H., Rani, C. A New single switch DC-DC converter for PEM fuel cell-based electric vehicle system with an improved beta-fuzzy logic MPPT controller. Soft Comput 26, 6021–6040 (2022). https://doi.org/10.1007/s00500-022-07049-0

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-022-07049-0

Keywords

Navigation