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Design and Performance Analysis of Hybrid Battery and Ultracapacitor Energy Storage System for Electrical Vehicle Active Power Management

Author

Listed:
  • Aditya Kachhwaha

    (Department of Electrical Engineering, Faculty of Engineering and Architecture, Jai Narain Vyas University, Jodhpur 342011, India)

  • Ghamgeen Izat Rashed

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Akhil Ranjan Garg

    (Department of Electrical Engineering, Faculty of Engineering and Architecture, Jai Narain Vyas University, Jodhpur 342011, India)

  • Om Prakash Mahela

    (Assistant Engineer, Power System Planning Division, Rajasthan Rajya Vidyut Prasaran Nigam Ltd., Jaipur 302005, India)

  • Baseem Khan

    (Department of Electrical and Computer Engineering, Hawassa University, Hawassa P.O. Box 5, Ethiopia)

  • Muhammed Badeaa Shafik

    (Electric Power System and Machines Department, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh 33516, Egypt)

  • Mohamed G. Hussien

    (Department of Electrical Power and Machines Engineering, Faculty of Engineering, Tanta University, Tanta 31527, Egypt)

Abstract

The electrical energy storage system faces numerous obstacles as green energy usage rises. The demand for electric vehicles (EVs) is growing in tandem with the technological advance of EV range on a single charge. To tackle the low-range EV problem, an effective electrical energy storage device is necessary. Traditionally, electric vehicles have been powered by a single source of power, which is insufficient to handle the EV’s dynamic demand. As a result, a unique storage medium is necessary to meet the EV load characteristics of high-energy density and high-power density. This EV storage system is made up of two complementing sources: chemical batteries and ultracapacitors/supercapacitors. The benefits of using ultracapacitors in a hybrid energy storage system (HESS) to meet the low-power electric car dynamic load are explored in this study. In this paper, a HESS technique for regulating the active power of low-powered EV simulations was tested in a MATLAB/Simulink environment with various dynamic loading situations. The feature of this design, as noted from the simulation results, is that it efficiently regulates the DC link voltage of an EV with a hybrid source while putting minimal load stress on the battery, resulting in longer battery life, lower costs, and increased vehicle range.

Suggested Citation

  • Aditya Kachhwaha & Ghamgeen Izat Rashed & Akhil Ranjan Garg & Om Prakash Mahela & Baseem Khan & Muhammed Badeaa Shafik & Mohamed G. Hussien, 2022. "Design and Performance Analysis of Hybrid Battery and Ultracapacitor Energy Storage System for Electrical Vehicle Active Power Management," Sustainability, MDPI, vol. 14(2), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:776-:d:722157
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    References listed on IDEAS

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    1. Kuperman, Alon & Aharon, Ilan, 2011. "Battery-ultracapacitor hybrids for pulsed current loads: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 981-992, February.
    2. Li, Jianwei & Gee, Anthony M. & Zhang, Min & Yuan, Weijia, 2015. "Analysis of battery lifetime extension in a SMES-battery hybrid energy storage system using a novel battery lifetime model," Energy, Elsevier, vol. 86(C), pages 175-185.
    3. Fiori, Chiara & Ahn, Kyoungho & Rakha, Hesham A., 2016. "Power-based electric vehicle energy consumption model: Model development and validation," Applied Energy, Elsevier, vol. 168(C), pages 257-268.
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    Cited by:

    1. Diana Lemian & Florin Bode, 2022. "Battery-Supercapacitor Energy Storage Systems for Electrical Vehicles: A Review," Energies, MDPI, vol. 15(15), pages 1-13, August.
    2. Namala Narasimhulu & R. S. R. Krishnam Naidu & Przemysław Falkowski-Gilski & Parameshachari Bidare Divakarachari & Upendra Roy, 2022. "Energy Management for PV Powered Hybrid Storage System in Electric Vehicles Using Artificial Neural Network and Aquila Optimizer Algorithm," Energies, MDPI, vol. 15(22), pages 1-21, November.

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