A High-Efficiency Fuzzy-Logic-Controlled Wireless Charger Enabling the Safe Integration of Electronics in Carbon Fiber Reinforced Polymer E-Bikes

Year : 2025 | Volume : 13 | Special Issue 06 | Page : 1159 1172
    By

    Pujari Anjappa,

  • K. Jithendra Gowd,

  1. Research Scholar, Department of Electrical and Electronics Engineering, JNT University Anantapur, Andhra Pradesh, India
  2. Professor, Department of Electrical and Electronics Engineering, JNTUA College of Engineering, Anantapur, Andhra Pradesh, India

Abstract

The integration of advanced electronics into structures made from carbon fiber reinforced polymers (CFRP) presents significant challenges, including thermal management constraints, electromagnetic interference (EMI), and the imperative for lightweight components.  This study addresses these challenges by designing and validating a fuzzy logic-based wireless charging system specifically engineered for lightweight E-Bikes employing CFRP frames.  The system mitigates thermal risks associated with the low thermal conductivity of polymer composites by implementing a high-efficiency Constant Current–Constant Voltage (CC–CV) approach, which minimizes heat generation within the battery and power electronics. Developed and simulated in MATLAB/Simulink, the proposed fuzzy logic controller (FLC) was compared against a conventional Proportional-Integral (PI) controller under identical conditions.  The proposed design achieves a system efficiency of ~92%, a significant improvement over conventional PI-controlled systems (~87%). This enhanced efficiency directly reduces thermal load, a critical factor for the structural integrity of surrounding composite materials during repeated charging cycles. Furthermore, the stable resonant operation and reduced waveform distortion of the inductive power transfer (IPT) stage lower the potential for EMI, which can affect composite structures with embedded sensors. The fuzzy controller demonstrated superior transient response, with a voltage settling time of ~0.05 seconds and negligible current overshoot, compared to ~0.15 seconds and >20% overshoot for the PI controller. Conclusion: The results demonstrate that intelligent power management is not merely an add-on but a critical enabling technology for the next generation of lightweight, composite-intensive vehicles, directly impacting their design, production viability, and application safety by ensuring electro-thermal and electromagnetic compatibility.

Keywords: Carbon fiber reinforced polymer (CFRP); Polymer composites; wireless charging; lightweight e-bike; thermal management; fuzzy logic control; EMI.

[This article belongs to Special Issue under section in Journal of Polymer & Composites (jopc)]

How to cite this article:
Pujari Anjappa, K. Jithendra Gowd. A High-Efficiency Fuzzy-Logic-Controlled Wireless Charger Enabling the Safe Integration of Electronics in Carbon Fiber Reinforced Polymer E-Bikes. Journal of Polymer & Composites. 2025; 13(06):1159-1172.
How to cite this URL:
Pujari Anjappa, K. Jithendra Gowd. A High-Efficiency Fuzzy-Logic-Controlled Wireless Charger Enabling the Safe Integration of Electronics in Carbon Fiber Reinforced Polymer E-Bikes. Journal of Polymer & Composites. 2025; 13(06):1159-1172. Available from: https://journals.stmjournals.com/jopc/article=2025/view=233931


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References

  1. George R, Vaidyanathan S, Deepa K. Ev Charging Station Locator With Slot Booking System. In: 2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC). 2019. p. 342-8.
  2. Duraisamy T, Kaliyaperumal D. Electric Vehicle Battery Modelling Methods Based on State of Charge-Review. J Green Eng. 2020 Jan;10:24–61.
  3. Budhia M, Covic GA, Boys JT. Design and Optimization of Circular Magnetic Structures for Lumped Inductive Power Transfer Systems. IEEE Trans Power Electron. 2011 Nov;26(11):3096–108.
  4. Giliberto M, Arena F, Pau G. A fuzzy-based solution for optimized management of energy consumption in e-bikes. J Wirel Mob Networks Ubiquitous Comput Dependable Appl. 2019 Sep;10:45–64.
  5. Wang B, Wu Z, Hou X, Cheng Y, Guo T, Xiao H, et al. Fuzzy logic optimized threshold-based energy management strategy for fuel cell hybrid E-bike. Int J Hydrogen Energy. 2024;63:123–32.
  6. Zhang G, Li Y, Deng S, Yu SS. Adaptable Impedance Modulation Circuitry Based Wireless Charging System for On-Road E-Bikes. Int J Circuit Theory Appl. 2025 May;n/a(n/a).
  7. Zaheer A, Neath M, Beh HZZ, Covic GA. A Dynamic EV Charging System for Slow Moving Traffic Applications. IEEE Trans Transp Electrif. 2017;3(2):354–69.
  8. Sasikumar S, Deepa K. LCL topology based single stage boost rectifier topology for wireless EV charging. J Green Eng. 2018;8(4):573–96.
  9. Tang Y, Yao W, Loh PC, Blaabjerg F. Design of LCL Filters With LCL Resonance Frequencies Beyond the Nyquist Frequency for Grid-Connected Converters. IEEE J Emerg Sel Top Power Electron. 2016;4(1):3–14.
  10. Enjeti PN, Martinez R. A high-performance single-phase AC to DC rectifier with input power factor correction. In: Proceedings Eighth Annual Applied Power Electronics Conference and Exposition. 1993. p. 190-5.
  11. Hasaneen BM, Mohammed AAE. Design and simulation of DC/DC boost converter. In: 2008 12th International Middle-East Power System Conference. 2008. p. 335-40.
  12. Shabarish PR, Krishna RP, Prasanth B, Deepa K, Manitha PV, Sailaja V. Fuzzy based Approach to Enhance the Wireless Charging System in Electric Vehicles. In: 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA). 2020. p. 176–81.
Special Issue Subscription Review Article
Volume 13
Special Issue 06
Received 17/11/2025
Accepted 03/12/2025
Published 10/12/2025
Publication Time 23 Days
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