IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i22p8540-d973379.html
   My bibliography  Save this article

Energy Management for PV Powered Hybrid Storage System in Electric Vehicles Using Artificial Neural Network and Aquila Optimizer Algorithm

Author

Listed:
  • Namala Narasimhulu

    (Department of Electrical and Electronics Engineering, Srinivasa Ramanujan Institute of Technology (Autonomous), Ananthapuramu 515701, Andhra Pradesh, India)

  • R. S. R. Krishnam Naidu

    (Department of Electrical and Electronics Engineering, N S Raju Institute of Technology, Sontyam, Visakhapatnam 531173, Andhra Pradesh, India)

  • Przemysław Falkowski-Gilski

    (Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk, Poland)

  • Parameshachari Bidare Divakarachari

    (Department of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology, Bangalore 560064, Karnataka, India)

  • Upendra Roy

    (Department of Electrical and Electronics Engineering, Channabasaveshwara Institute of Technology, Tumkur 572216, Karnataka, India)

Abstract

In an electric vehicle (EV), using more than one energy source often provides a safe ride without concerns about range. EVs are powered by photovoltaic (PV), battery, and ultracapacitor (UC) systems. The overall results of this arrangement are an increase in travel distance; a reduction in battery size; improved reaction, especially under overload; and an extension of battery life. Improved results allow the energy to be used efficiently, provide a comfortable ride, and require fewer energy sources. In this research, energy management between the PV system and the hybrid energy storage system (HESS), including the battery, and UC are discussed. The energy management control algorithms called Artificial Neural Network (ANN) and Aquila Optimizer Algorithm (AOA) are proposed. The proposed combined ANN–AOA approach takes full advantage of UC while limiting the battery discharge current, since it also mitigates high-speed dynamic battery charging and discharging currents. The responses’ behaviors are depicted and viewed in the MATLAB simulation environment to represent load variations and various road conditions. We also discuss the management among the PV system, battery, and UC to achieve the higher speed of 91 km/h when compared with existing Modified Harmony Search (MHS) and Genetic Algorithm-based Proportional Integral Derivative (GA-PID). The outcomes of this study could aid researchers and professionals from the automotive industry as well as various third parties involved in designing, maintaining, and evaluating a variety of energy sources and storage systems, especially renewable ones.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8540-:d:973379
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/22/8540/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/22/8540/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Szymon Potrykus & Filip Kutt & Janusz Nieznański & Francisco Jesús Fernández Morales, 2020. "Advanced Lithium-Ion Battery Model for Power System Performance Analysis," Energies, MDPI, vol. 13(10), pages 1-15, May.
    2. Mikołaj Bartłomiejczyk & Leszek Jarzebowicz & Jiří Kohout, 2022. "Compensation of Voltage Drops in Trolleybus Supply System Using Battery-Based Buffer Station," Energies, MDPI, vol. 15(5), pages 1-15, February.
    3. Wojciech Kurpiel & Przemysław Deja & Bartosz Polnik & Marcin Skóra & Bogdan Miedziński & Marcin Habrych & Grzegorz Debita & Monika Zamłyńska & Przemysław Falkowski-Gilski, 2021. "Performance of Passive and Active Balancing Systems of Lithium Batteries in Onerous Mine Environment," Energies, MDPI, vol. 14(22), pages 1-15, November.
    4. Robert Małkowski & Marcin Jaskólski & Wojciech Pawlicki, 2020. "Operation of the Hybrid Photovoltaic-Battery System on the Electricity Market—Simulation, Real-Time Tests and Cost Analysis," Energies, MDPI, vol. 13(6), pages 1-21, March.
    5. 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.
    6. Wang, Shuoqi & Lu, Languang & Han, Xuebing & Ouyang, Minggao & Feng, Xuning, 2020. "Virtual-battery based droop control and energy storage system size optimization of a DC microgrid for electric vehicle fast charging station," Applied Energy, Elsevier, vol. 259(C).
    7. Thanh Anh Huynh & Min-Fu Hsieh, 2018. "Performance Analysis of Permanent Magnet Motors for Electric Vehicles (EV) Traction Considering Driving Cycles," Energies, MDPI, vol. 11(6), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Jicheng & Sun, Jiakang & Yuan, Hanying & Su, Yihan & Feng, Shuxian & Lu, Chaoran, 2022. "Behavior analysis of photovoltaic-storage-use value chain game evolution in blockchain environment," Energy, Elsevier, vol. 260(C).
    2. Wang, Shuoqi & Guo, Dongxu & Han, Xuebing & Lu, Languang & Sun, Kai & Li, Weihan & Sauer, Dirk Uwe & Ouyang, Minggao, 2020. "Impact of battery degradation models on energy management of a grid-connected DC microgrid," Energy, Elsevier, vol. 207(C).
    3. Pavol Rafajdus & Valeria Hrabovcova & Pavel Lehocky & Pavol Makys & Filip Holub, 2018. "Effect of Saturation on Field Oriented Control of the New Designed Reluctance Synchronous Motor," Energies, MDPI, vol. 11(11), pages 1-10, November.
    4. Christoph Wenge & Robert Pietracho & Stephan Balischewski & Bartlomiej Arendarski & Pio Lombardi & Przemyslaw Komarnicki & Leszek Kasprzyk, 2020. "Multi Usage Applications of Li-Ion Battery Storage in a Large Photovoltaic Plant: A Practical Experience," Energies, MDPI, vol. 13(18), pages 1-18, September.
    5. Dariusz Karkosiński & Wojciech Aleksander Rosiński & Piotr Deinrych & Szymon Potrykus, 2021. "Onboard Energy Storage and Power Management Systems for All-Electric Cargo Vessel Concept," Energies, MDPI, vol. 14(4), pages 1-16, February.
    6. Ammar Armghan & Muhammad Kashif Azeem & Hammad Armghan & Ming Yang & Fayadh Alenezi & Mudasser Hassan, 2021. "Dynamical Operation Based Robust Nonlinear Control of DC Microgrid Considering Renewable Energy Integration," Energies, MDPI, vol. 14(13), pages 1-23, July.
    7. Szymon Potrykus & Luis Fernando León-Fernández & Janusz Nieznański & Dariusz Karkosiński & Francisco Jesus Fernandez-Morales, 2021. "The Influence of External Load on the Performance of Microbial Fuel Cells," Energies, MDPI, vol. 14(3), pages 1-11, January.
    8. Armagan Bozkurt & Ahmet Fevzi Baba & Yusuf Oner, 2021. "Design of Outer-Rotor Permanent-Magnet-Assisted Synchronous Reluctance Motor for Electric Vehicles," Energies, MDPI, vol. 14(13), pages 1-12, June.
    9. Josef Stetina & Michael Bohm & Michal Brezina, 2021. "Small Cogeneration Unit with Heat and Electricity Storage," Energies, MDPI, vol. 14(8), pages 1-13, April.
    10. Zhang, Yijie & Ma, Tao & Yang, Hongxing, 2022. "Grid-connected photovoltaic battery systems: A comprehensive review and perspectives," Applied Energy, Elsevier, vol. 328(C).
    11. Shubham Mishra & Shrey Verma & Subhankar Chowdhury & Ambar Gaur & Subhashree Mohapatra & Gaurav Dwivedi & Puneet Verma, 2021. "A Comprehensive Review on Developments in Electric Vehicle Charging Station Infrastructure and Present Scenario of India," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    12. Edison Gundabattini & Arkadiusz Mystkowski & Adam Idzkowski & Raja Singh R. & Darius Gnanaraj Solomon, 2021. "Thermal Mapping of a High-Speed Electric Motor Used for Traction Applications and Analysis of Various Cooling Methods—A Review," Energies, MDPI, vol. 14(5), pages 1-32, March.
    13. Chao Wu & Jun Yang & Qi Li, 2020. "GPIO-Based Nonlinear Predictive Control for Flux-Weakening Current Control of the IPMSM Servo System," Energies, MDPI, vol. 13(7), pages 1-21, April.
    14. Marcin Jastrzębski & Jacek Kabziński, 2021. "Approximation of Permanent Magnet Motor Flux Distribution by Partially Informed Neural Networks," Energies, MDPI, vol. 14(18), pages 1-21, September.
    15. Zeyang Fan & Hong Yi & Jian Xu & Kun Xie & Yue Qi & Sailin Ren & Hongdong Wang, 2021. "Performance Study and Optimization Design of High-Speed Amorphous Alloy Induction Motor," Energies, MDPI, vol. 14(9), pages 1-19, April.
    16. Nick Rigogiannis & Ioannis Bogatsis & Christos Pechlivanis & Anastasios Kyritsis & Nick Papanikolaou, 2023. "Moving towards Greener Road Transportation: A Review," Clean Technol., MDPI, vol. 5(2), pages 1-25, June.
    17. Md. Shafiul Alam & Abdullah A. Almehizia & Fahad Saleh Al-Ismail & Md. Alamgir Hossain & Muhammad Azharul Islam & Md. Shafiullah & Aasim Ullah, 2022. "Frequency Stabilization of AC Microgrid Clusters: An Efficient Fractional Order Supercapacitor Controller Approach," Energies, MDPI, vol. 15(14), pages 1-22, July.
    18. Huimin Li & Shoudao Huang & Derong Luo & Jian Gao & Peng Fan, 2018. "Dynamic DC-link Voltage Adjustment for Electric Vehicles Considering the Cross Saturation Effects," Energies, MDPI, vol. 11(8), pages 1-22, August.
    19. Sun, Chuyu & Zhao, Xiaoli & Qi, Binbin & Xiao, Weihao & Zhang, Hongjun, 2022. "Economic and environmental analysis of coupled PV-energy storage-charging station considering location and scale," Applied Energy, Elsevier, vol. 328(C).
    20. Jayalakshmi N. Sabhahit & Sanjana Satish Solanke & Vinay Kumar Jadoun & Hasmat Malik & Fausto Pedro García Márquez & Jesús María Pinar-Pérez, 2022. "Contingency Analysis of a Grid Connected EV's for Primary Frequency Control of an Industrial Microgrid Using Efficient Control Scheme," Energies, MDPI, vol. 15(9), pages 1-24, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8540-:d:973379. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.