Abbas, B., Anead, H., Sultan, K. (2025). Design and control of wireless charging system for electric vehicle. , 43(8), 631-640. doi: 10.30684/etj.2025.155228.1872
Basma A. Abbas; Hosham S. Anead; Khalid F. Sultan. "Design and control of wireless charging system for electric vehicle". , 43, 8, 2025, 631-640. doi: 10.30684/etj.2025.155228.1872
Abbas, B., Anead, H., Sultan, K. (2025). 'Design and control of wireless charging system for electric vehicle', , 43(8), pp. 631-640. doi: 10.30684/etj.2025.155228.1872
Abbas, B., Anead, H., Sultan, K. Design and control of wireless charging system for electric vehicle. , 2025; 43(8): 631-640. doi: 10.30684/etj.2025.155228.1872

Design and control of wireless charging system for electric vehicle

Engineering and Technology Journal
Volume 43, Issue 8, August 2025, Pages 631-640    PDF (2.05 M)
Document Type: Research Paper
DOI: 10.30684/etj.2025.155228.1872
Authors
Basma A. Abbas* ; Hosham S. Anead; Khalid F. Sultan
Electromechanical Engineering Dept., University of Technology-Iraq, Alsina’a street, 10066 Baghdad, Iraq.
Abstract
This study concentrated on utilizing a neural network controller and inductive power transfer to enhance the electric vehicle charging. Electric vehicles are a key transportation system component since they lower fuel costs, noise levels, and carbon emissions. The charging duration and operational battery efficiency are the primary obstacles to wireless charging in electric vehicles. In the beginning, the system was designed. It included the primary side (grid, rectifier, DC-DC boost converter, and DC-AC high-frequency inverter), mutual inductance (one coil transmitter and six coils receiver), and secondary side (single-phase rectifier and battery pack). A neural network controller has been employed to control the current and voltage to get fast charging. The simulation design and control have been simulated using MATLAB 2022b. As a result, the DC-DC boost converter raised the transferred voltage to 800 V within 20 KHz to reduce the wave signal ripple. In comparison, a neural network controller kept the transfer voltage and constant current to 800 V and 100 A during charging from 10% to 100%. Moreover, a neural network controller worked on charging the system within 15 minutes as a fast-charging technique. Also, the behavior and value of the voltage transmitted to the battery have been verified.

Highlights
  • Wireless charging for electric vehicles enables cable-free charging, enhancing convenience for drivers
  • Recent advancements have significantly improved this technology, simplifying the charging process
  • Enhancement of wireless charging efficiency for faster and more driver-friendly performance
  •  DC-DC boost converter raised the transferred voltage to 800 V within 20 KHz to reduce the wave signal ripple.
  •  The system's ability to charge the battery to 100% in just 900 seconds is a major advantage for wireless charging.
Keywords
Wireless charging; EVs; Neural networks; IPT; Battery charge
References
  1. G. Palani, U. Sengamalai, P. Vishnuram, B. Nastasi, Challenges and Barrier of Wireless Charging Technologies for Electric Vehicles, Energies, 16 (2023) 2138. https://doi.org/10.3390/en16052138
  2. Y. Yasa, A system efficiency improvement of DC fast-chargers in electric vehicle applications: Bypassing second-stage full-bridge DC-DC converter in high-voltage charging levels, Ain Shams Eng. J., 14 (2023) 102391. https://doi.org/10.1016/j.asej.2023.102391
  3. J. M. Miller, O. C. Onar, M. Chinthavali, Primary-Side Power Flow Control of Wireless Power Transfer for Electric Vehicle Charging, IEEE J. Emerging Sel. Top. Power Electron., 3 (2014) 147-162. https://doi.org/10.1109/JESTPE.2014.2382569
  4. B. Mohan, M.V. Ramesh, V.R. Rajan, D. Rene Dev, Designing of A Wireless Charging System for Electric Vehicles, J. Theor. Appl. Inf. Technol., 102 (2024) 426-439.
  5. B. Hu, Li. Hao, T. Li, H. Wang, Y. Zhou, X. Zhao, X. Hu, A Long-Distance High-Power Microwave Wireless Power Transmission System Based on Asymmetrical Resonant Magnetron and Cyclotron-Wave Rectifier, Energy Rep., 7 (2021) 1154-1161. https://doi.org/10.1016/j.egyr.2020.12.026
  6. A. Mahmood, A. Ismail, Z. Zaman, H. Fakhar, Z. Najam, M. S. Hasan, S. H. Ahmed, A Comparative Study of Wireless Power Transmission Techniques, J. Basic Appl. Sci. Sci. Res., 4 (2014) 321-326.
  7. M. Amjad, M. F. Azam, Q. Ni, M. Dong, E.A. Anasari, Wireless Charging Systems for Electric Vehicles, Renewable Sustainable Energy Rev., 167 (2022) 112730. http://dx.doi.org/10.1016/j.rser.2022.112730
  8. Z. Wang, Y. Shi, X. Ma, Y. Wei, A Coreless Hybrid Magnetic Coupling Coil Structure for Dynamic Wireless Power Charging System, 7th Int. Conf. Power and Energy Systems Engineering, Energy Rep., 6 (2020) 843-850. https://doi.org/10.1016/j.egyr.2020.11.123
  9. M. T. Nguyen, C. V. Nguyen, L. H. Truong, A. M. Le, T. V. Quyen, A. Masaracchia, and K. A. Teague, Electromagnetic Field based WPT Technologies for UAVs: A Comprehensive Survey, Electronics, 9 (2020) 461. https://doi.org/10.3390/electronics9030461
  10. A. Smagulova, M. Lu, A. Darabi, M. Bagheri, Simulation Analysis of PI and Fuzzy Controller for Dynamic Wireless Charging of Electric Vehicle, IEEE Int. Conf. Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Madrid, Spain, 1-6, 2020. https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160851
  11. P. R. Shabarish, R. P. Krishna, B. Prasanth, K. Deepa, P.V. Manitha, V. Sailaja, Fuzzy based Approach to Enhance the Wireless Charging System in Electric Vehicles, IEEE 4th Int. Conf. Electronics, Communication and Aerospace Technology (ICECA),176-181, 2020. https://doi.org/10.1109/ICECA49313.2020.9297505
  12. P. Rames, A. Yamini, M. S. Ram, V. Bhargavi, P. B. Sujith, N. Jyothis, A Novel ANFIS Controller-Based Grid Connected EV Charging System with Constant Current Control Topology, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol., 9 (2023) 342–350. https://doi.org/10.32628/IJSRCSEIT
  13. H. Q. Hameeda, H. S. Aneada and K. F. Sultanb, ANFIS Control of Four-Quadrant DC/DC Chopper for Wireless EV Charging, Eng. Technol. J., 42 (2024) 1122- 1137. https://doi.org/10.30684/etj.2024.146136.1673
  14. V. B. Vu, V. T. Doan, V. L. Pham, W. Choi, A New Method to Implement The Constant Current-Constant Voltage Charge of The Inductive Power Transfer System for Electric Vehicle Applications, IEEE, ITEC Asia-Pacific, (2016) 449-453. https://doi.org/10.1109/ITEC-AP.2016.7512996
  15. M. A. Roslan, N. N. Nanda, S. Yusoff, Series-Series and Series-Parallel Compensation Topologies for Dynamic Wireless Charging, IIUM Eng. J., 22 (2021) 199-209. https://doi.org/10.31436/iiumej.v22i2.1660
  16. T. A. Shikdar, Sh. Dey, S. Mumtahina, M. M. Rashid, G. M. Chowdhury, Design and Simulation of Single Phase and Three Phase Wireless Power Transfer in Electric Vehicle Using MATLAB/Simulink, Int. Conf., Electrical and Electronics Engineering, Singapore, 83-104, 2022. https://doi.org/10.1007/978-981-19-1677-9_8
  17. S. Uk Jeon, J. W. Park, B. K. Kang, H. Jin Lee, Study on Battery Charging Strategy of Electric Vehicles Considering Battery Capacity, IEEE Access, 9 (2021) 89757-89767. https://doi.org/10.1109/ACCESS.2021.3090763
  18. P. R. Shabarish, R. P. Krishna, B. Prasanth, K. Deepa, P.V. Manitha, V. Sailaja, Fuzzy based approach to enhance the wireless charging system in electric vehicles, IEEE 4th Int. Conf. Electronics, Communication and Aerospace Technology (ICECA), (2020) 176-181. https://doi.org/10.1109/ICECA49313.2020.9297505
  19. Erhuvwu, A., Modeling of Magnetic Resonance Wireless Electric Vehicle Charging, Electronic Theses and Dissertations, Georgia Southern University, 2019.
  20. P. Cao1, Y. Lu, Ch. Lu, X. Wang, W. Xu, H. Zhang, A Study on Modeling of Wireless Charging System Based on Fuzzy Logic Control, Int. J. Phys.: Conf. Ser., 1983 (2021) 012053. https://doi.org/10.1088/1742-6596/1983/1/012053
  21. Y. H. Sohn, B. H. Choi, E. S. Lee, G. C. Lim, G.-H. Cho, C. T. Rim, General Unified Analyses of Two-Capacitor Inductive Power Transfer Systems: Equivalence of Current-Source SS and SP Compensations, IEEE Trans. Power Electron., 30 (2015) 6030-6045. https://doi.org/10.1109/TPEL.2015.2409734
  22. Aggarwal, C.C., Neural Networks and Deep learning, Cham: springer, 2018.
  23. Ch. Zhang, X. Xu, Y. Li, J. Huang, Ch. Li, W. Sun, Research on SOC Estimation Method for Lithium-Ion Batteries Based on Neural Network, World Electr. Veh. J., 14 (2023) 275. https://doi.org/10.3390/wevj14100275
  24. V. Sawant, P. Zambare, D. C. Fast Charging Stations for Electric Vehicles: A Review, Energy Convers. Econ., 5 (2024) 54-71. https://doi.org/10.1049/enc2.12111
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