Skip to main content

Fuzzy Logic-Based Energy Management Strategy for Solar-Powered Electric Vehicle Charging Station

  • Conference paper
  • First Online:
Control Applications in Modern Power Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 870))

  • 408 Accesses

Abstract

Nowadays, climate change and the increased dependence of transportation sector on fossil fuels have created serious environmental problems, resulting in the popularity of Electric Vehicles (EVs). To support the usage and development of EVs, it is necessary to make available ample charging stations along with the support of governments for subsidies and electrical infrastructure development. We see renewable energy-based power generation systems being deployed in large scale in order to overcome the problems associated with fossil fuel-based electricity generation. A fuzzy logic (FL)-based centralized energy management control strategy for a solar-powered electric vehicle charging station (CS) is discussed in this paper. The main objective is to effectively operate the charging station in Photovoltaic (PV) standalone mode. The proposed electric vehicle charging system is modeled and simulated in MATLAB/Simulink software and verified system performance under varying irradiance and load conditions.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Goli P, Shireen W (2014) PV powered smart charging station for PHEVs. Renew Energy 66:280–287

    Article  Google Scholar 

  2. Deshmukh RR, Ballal MS (2018) An energy management scheme for grid connected EVs charging stations. In: Ninth annual IEEE green technologies conference, pp 386–462

    Google Scholar 

  3. Sun B, Dragicevic T, Freijedo FD, Vasquez JC (2015) A control algorithm for electric vehicle fast charging stations equipped with flywheel energy storage systems. IEEE Trans Power Electron 31:1–10

    Google Scholar 

  4. Badawy MO, Sozer Y (2016) Power flow management of a grid tied PV-battery system for electric vehicle charging. IEEE Trans Ind Appl 53(2):1347–1357

    Article  Google Scholar 

  5. Novoa L, Brouwer J (2018) Dynamics of an integrated solar photovoltaic and battery storage nanogrid for electric vehicle charging. J Power Sour 399:166–178

    Google Scholar 

  6. Hassoune A, M. Khafallah, A. Mesbathi, T. Bouragba (2018) Power flow management of a grid tied PV-battery system for electric vehicle charging. Int J Renew Energy Res 8(2)

    Google Scholar 

  7. Shinde N, Sankad S, Patil SL (2018) Design and study voltage characteristics of buck converter by MATLAB Simulink. In: Proceedings of the 2nd international conference on trends in electronics and informatics, pp 48–58

    Google Scholar 

  8. Trivinov PG, Torreglosa JP, Fernandez Ramirez LM (2018) Decentralized Fuzzy Logic Control of Microgrid for Electric Vehicle Charging Station. IEEE J Emerg Selected Topics Power Electron 6(2):726–737

    Article  Google Scholar 

  9. Garcia Trivinov P, Torreglosa JP, Fernandez Ramirez LM, Jurado F (2016) Control and operation of power sources in a medium-voltage direct-current microgrid for an electric vehicle fast charging station with a photovoltaic and a battery energy storage system. Energy 115:38–48

    Article  Google Scholar 

  10. Sheik Mohammed S (2018) Multiple step size perturb and observe maximum power point tracking algorithm with zero oscillation for solar PV application. In: Proceeding of 2018 IEEE international conference on current trends toward converging technologies

    Google Scholar 

  11. Krishnendu MJ, Sheik Mohammed S, Imthias Ahamed TP, Shafeeq M (2019) Design and simulation of standalone DC microgrid with energy storage system. In: IEEE international conference on intelligent techniques in control ,optimization and signal processing (INCOS), Tamil Nadu, India, pp 1–5

    Google Scholar 

  12. Rai N, Rai B (2018) Control of fuzzy logic based PV battery hybrid system for standalone DC applications. J Electr Syst Inf Technol 5:135–143

    Google Scholar 

  13. Mohammed SS, Devaraj D (2014) Simulation and analysis of stand-alone photovoltaic system with boost converter using MATLAB/Simulink. In: International conference on circuits, power and computing technologies [ICCPCT], Nagercoil, pp 814–821

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sheik Mohammed, S., Ayisha, J. (2022). Fuzzy Logic-Based Energy Management Strategy for Solar-Powered Electric Vehicle Charging Station. In: Kumar, J., Tripathy, M., Jena, P. (eds) Control Applications in Modern Power Systems. Lecture Notes in Electrical Engineering, vol 870. Springer, Singapore. https://doi.org/10.1007/978-981-19-0193-5_45

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-0193-5_45

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0192-8

  • Online ISBN: 978-981-19-0193-5

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics