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Research on Anti-Misalignment Control Algorithm Design and Performance Optimization for Electric Vehicle Wireless Charging

Juncheng Zhou
World Scientific Research Journal, (2026), Vol.12, No.8, pp.59-67
Published: August 19, 2026
DOI: 10.6911/WSRJ.202608_12(8).0006
PDF: Download Full Text PDF
Abstract

Against the backdrop of the rapid development of the global electric vehicle industry, wireless charging technology has gradually become a focal point of attention in both academia and industry due to its convenience and safety. However, a prominent challenge in practical applications is the positional misalignment between charging coils, which often leads to a significant decline in power transmission efficiency, thereby constraining the widespread adoption of this technology. In response to this practical issue, this paper proposes and designs a simple anti-misalignment control algorithm based on the proportional control principle. By establishing a MATLAB/Simulink simulation platform, the algorithm can sense the degree of misalignment between coils in real time and dynamically adjust the driving current of the transmitter, thereby effectively compensating for energy losses caused by misalignment. Simulation results confirm that, under varying degrees of misalignment scenarios, the proposed control strategy consistently enhances the charging efficiency and overall robustness of the system. This study not only offers an economical and practical technical approach to addressing misalignment issues in wireless charging but also provides valuable references for engineering practice and educational demonstrations in related fields.

Keywords: Electric vehicles; Wireless charging; Misalignment compensation; Proportional control; System simulation.
APA Citation: Juncheng Zhou (2026). Research on Anti-Misalignment Control Algorithm Design and Performance Optimization for Electric Vehicle Wireless Charging. World Scientific Research Journal, 12(8), 59-67. https://doi.org/10.6911/WSRJ.202608_12(8).0006

References

  1. Kurs, A., Leighton, R., & Soljačić, M. (2007). Wireless power transfer via strongly coupled magnetic resonances. Science, 317(5834), 83–86. https://doi.org/10.1126/science.1143254.
  2. Sample, A. P., Meyer, J. R., & Smith, J. R. (2011). Demonstrating the feasibility of loosely coupled power transmission. IEEE Transactions on Industrial Electronics, 58(7), 3350–3358. https://doi.org/10.1109/TIE.2010.2089945
  3. Miller, J. M., Onar, C. C., White, C. C., Chinthavali, M., Campbell, S., Coomer, C., Tang, L., & Galigekere, V. P. (2019). Development of a 200 kW high-frequency power inverter for wireless power transfer applications. IEEE Transactions on Transportation Electrification, 5(3), 607–615. https://doi.org/10.1109/TTE.2019.2903441
  4. Yang, G. C., & Chen, J. (2014). Research progress on wireless power transfer technology based on magnetic coupling resonance. Transactions of China Electrotechnical Society, 29(2), 1–11.
  5. Cui, K., Huang, X. D., Zhang, Y., & Tan, L. L. (2014). Successful development of China's first radio energy transmission new energy vehicle. Journal of Southeast University (Natural Science Edition), 44(6), 1230–1235.
  6. Liang, Y. Q., & Tang, Z. (2024). Research on anti-offset hybrid topology constant current wireless charging system. Power System Protection and Control, 52(15), 112–121.
  7. Wang, Y. J., Lu, K. X., Yao, Y. S., & Liu, C. (2019). Strong anti-misalignment performance wireless power transfer system for electric vehicles. Proceedings of the CSEE, 39(13), 3907–3916.
  8. Zhang, X., Chen, Z. X., Sha, L., Yang, Q. X., Li, Y., & Han, D. W. (2022). Research on interoperability evaluation method for electric vehicle wireless charging system based on three-parameter characterization. Proceedings of the CSEE, 42(4), 1569–1581. https://doi.org/10.13334/j.0258-8013.pcsee.201981
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