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Adaptive Control of Fuel Cell and Supercapacitor Based Hybrid Electric Vehicles

Author

Listed:
  • Muhammad Saqib Nazir

    (School of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Iftikhar Ahmad

    (School of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Muhammad Jawad Khan

    (School of Mechanical and Manufacturing Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Yasar Ayaz

    (School of Mechanical and Manufacturing Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Hammad Armghan

    (School of Electrical Engineering, Shandong University, Jinan 250100, China)

Abstract

In this paper, an adaptive nonlinear control strategy for the energy management of a polymer electrolyte membrane fuel cell and supercapacitor-based hybrid electric vehicle is proposed. The purpose of this work was to satisfy: (i) tight DC bus voltage regulation, (ii) good fuel cell reference current tracking, (iii) better supercapacitor reference current tracking (iv) global asymptotic stability of the closed-loop control system, and (v) better vehicle performance by catering to slowly-varying parameters. We have selected the power stage schematic of a hybrid electric vehicle and utilized adaptive backstepping and adaptive Lyapunov redesign-based nonlinear control methods to formally derive adaptive parametric update laws for all slowly-varying parameters. The performance of the proposed system has been tested under varying load conditions using experimental data from the “Extra Urban Driving Cycle.” Mathematical analysis and Matlab/Simulink results show that proposed controllers are globally asymptotically stable and satisfy all the design requirements. The physical effectiveness of proposed system has been verified by comparing simulation results with the real-time controller hardware in the loop experimental results. Results show that proposed system shows satisfactory performance and caters for the time-varying parametric variations and the load requirements.

Suggested Citation

  • Muhammad Saqib Nazir & Iftikhar Ahmad & Muhammad Jawad Khan & Yasar Ayaz & Hammad Armghan, 2020. "Adaptive Control of Fuel Cell and Supercapacitor Based Hybrid Electric Vehicles," Energies, MDPI, vol. 13(21), pages 1-21, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5587-:d:434889
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    Citations

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    Cited by:

    1. Ismail Oukkacha & Cheikh Tidiane Sarr & Mamadou Baïlo Camara & Brayima Dakyo & Jean Yves Parédé, 2021. "Energetic Performances Booster for Electric Vehicle Applications Using Transient Power Control and Supercapacitors-Batteries/Fuel Cell," Energies, MDPI, vol. 14(8), pages 1-22, April.
    2. Ahmed Al Amerl & Ismail Oukkacha & Mamadou Baïlo Camara & Brayima Dakyo, 2021. "Real-Time Control Strategy of Fuel Cell and Battery System for Electric Hybrid Boat Application," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    3. Giuseppe De Lorenzo & Raffaele Giuseppe Agostino & Petronilla Fragiacomo, 2022. "Dynamic Electric Simulation Model of a Proton Exchange Membrane Electrolyzer System for Hydrogen Production," Energies, MDPI, vol. 15(17), pages 1-15, September.
    4. Sekhar Raghu Raman & Ka-Wai (Eric) Cheng & Xiang-Dang Xue & Yat-Chi Fong & Simon Cheung, 2021. "Hybrid Energy Storage System with Vehicle Body Integrated Super-Capacitor and Li-Ion Battery: Model, Design and Implementation, for Distributed Energy Storage," Energies, MDPI, vol. 14(20), pages 1-22, October.

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