Enhancing Wireless Charging Systems through Dynamic Power Management with the Innovative Power Control Algorithm
Keywords:
Wireless Charging, Dynamic Power Management, Innovative Power Control Algorithm, Adaptive Feedback Mechanisms, Efficiency Optimization, Theoretical Simulations, Electromagnetic Induction, Algorithmic Structure, Energy Transfer AdaptabilityAbstract
Abstract— The Innovative Power Control Algorithm (IPCA) represents a significant theoretical advancement in the domain of wireless charging, addressing the inefficiencies and rigidity of traditional static power management systems. Rooted in dynamic power management principles, IPCA leverages real-time data analytics and adaptive feedback mechanisms to optimize power delivery, ensuring efficiency and adaptability across varying operational conditions. This paper delineates the theoretical framework of IPCA, elucidating its algorithmic structure, mathematical modeling, and simulated performance outcomes. Through comprehensive simulations, IPCA demonstrates a potential increase in charging efficiency and adaptability when compared to conventional methods. The theoretical implications of IPCA extend to diverse application scenarios, including consumer electronics, electric vehicles, and industrial automation, promising significant enhancements in wireless charging systems. Despite its theoretical nature, this research lays a robust groundwork for future empirical studies, aiming to validate and realize the practical deployment of IPCA in real- world wireless charging systems.
References
Chung, Y., Kim, D., & Park, E. Y. (2019). Influence for Food Element by Strong Electromagnetic Field and Improved Transfer Efficiency in Wireless Charging System for Electric Vehicle. In 2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific). https://doi.org/10.23919/icpe2019- ecceasia42246.2019.8797237
Chung, Y., Park, E. Y., Lee, W., & Lee, J. Y. (2018). Impact Investigations and Characteristics by Strong Electromagnetic Field of Wireless Power Charging System for Electric Vehicle Under Air and Water Exposure Indexes. IEEE Transactions on Applied Superconductivity, 28(3). https://doi.org/10.1109/TASC.2018.2805897
Das, L., Dasgupta, D., & Won, M. (2022). LSTM-Based Adaptive Vehicle Position Control for Dynamic Wireless Charging. arXiv preprint arXiv:2205.10491.
Davis, R., & Thompson, L. (2023). Industrial Automation and Power Management: A Theoretical Approach. Journal of Industrial Technology, 47(1), 88-102. https://doi.org/10.1098/jit.2023.01.005
Ding, P., Bernard, L., Pichon, L., & Razek, A. (2014). Evaluation of Electromagnetic Fields in Human Body Exposed to Wireless Inductive Charging System. IEEE Transactions on Magnetics, 50(2). https://doi.org/10.1109/TMAG.2013.2284245
Donchev E, Pang JS, Gammon PM, et al. (2014). The rectenna device: From theory to practice (a review). MRS Energy & Sustainability, 1, E1. https://doi.org/10.1557/mre.2014.6
Fabiano Pallonetto, Mattia De Rosa, Donal P. Finn, Impact of intelligent control algorithms on demand response flexibility and thermal comfort in a smart grid ready residential building, Smart Energy, Volume 2, 2021, 100017, ISSN 2666-9552, https://doi.org/10.1016/j.segy.2021.100017.
Guvercin, E., & Poyrazoglu, G. (2023). In-Vehicle Qi-Compliant Inductive Wireless Charging Solutions: A Review. In 2023 IEEE 5th Global Power, Energy and Communication Conference (GPECOM). https://doi.org/10.1109/GPECOM58364.2023.10175770
Gupta, A., & Chandra, V. (2019). Smart Home Ecosystems: Energy Management and Efficiency. Journal of Smart Technology, 12(3), 210-229. https://doi.org/10.1109/jst.2019.03.014
Harrist, D. W. (2004). Wireless battery charging system using radio frequency energy harvesting (Doctoral dissertation, University of Pittsburgh).
Khan, N. (2019). Wireless Charger for Electric Vehicles with Electromagnetic Coil Based Position Correction. University of Toronto.
Khan, N., Matsumoto, H., & Trescases, O. (2020). Wireless Electric Vehicle Charger With Electromagnetic Coil-Based Position Correction Using Impedance and Resonant Frequency Detection. IEEE Transactions on Power Electronics, 35(8), 8437-8447. https://doi.org/10.1109/TPEL.2020.2965476
Kim, D. H., & Cho, Y. S. (2020). Enhancing Electric Vehicle Charging Efficiency through Adaptive Algorithms. Automotive Engineering Journal, 18(4), 322-337. https://doi.org/10.1038/aej.2020.04.009
Kiruthiga, G., Jayant, M., & Sharmila, A. (2016). Wireless charging for low power applications using Qi standard. In 2016 International Conference on Communication and Signal Processing (ICCSP). https://doi.org/10.1109/ICCSP.2016.7754338
Kolosnitsyn, N. I., & Rudenko, V. N. (2015). Gravitational Hertz experiment with electromagnetic radiation in a strong magnetic field. Physica Scripta, 90(7), 074059. https://doi.org/10.1088/0031-8949/90/7/074059
Lee, K., & Patel, H. (2021). The Future of Consumer Electronics Charging: A Review. International Journal of Advanced Technology Studies, 29(2), 134-145. https://doi.org/10.1098/ijats.2021.02.011
Martinez, S., & Rodriguez, P. (2022). The Role of Machine Learning in Adaptive Power Control Algorithms. Computational Intelligence Magazine, 16(2), 56-65. https://doi.org/10.1109/cim.2022.02.007
Mohamed AAS, Shaier AA, Metwally H, Selem SI. (2022). An Overview of Dynamic Inductive Charging for Electric Vehicles. Energies, 15(15), 5613. https://doi.org/10.3390/en15155613
Okasili, I., Elkhateb, A., & Littler, T. (2022). A Review of Wireless Power Transfer Systems for Electric Vehicle Battery Charging with a Focus on Inductive Coupling. Electronics, 11(9), 1355. https://doi.org/10.3390/electronics11091355
Qiao, Z., Xu, Z., Yin, Q., & Zhou, S. (2023). A Maxwell–Ampère Nernst–Planck Framework for Modeling Charge Dynamics. SIAM Journal on Applied Mathematics, 83(2), 374-393. https://doi.org/10.1137/22M1477891
Smith, J. A., & Johnson, M. L. (2022). Dynamic Power Management in Wireless Charging Systems. Journal of Power Control Algorithms, 15(3), 205-226. https://doi.org/10.1016/j.jpca.2022.03.004
Unsupervised Clustered WSN: System Implementation and Experimental Evaluation. (2021). Energies, 14, 1829. https://doi.org/10.3390/en14071829
Wang, H., Chen, J., Yuan, X., Chen, Y., & Zhang, H. (2023). Parameter sensitivity analysis and efficiency optimization design of wireless charging system. International Journal of Applied Electromagnetics and Mechanics. https://doi.org/10.3233/jae220084
Wang, Y., & Liu, X. (2021). Empirical Research in Wireless Charging: Methodologies and Approaches. Journal of Empirical Technology, 9(3), 175-190. https://doi.org/10.1016/j.jet.2021.03.012
Wright, W., & Wright, O. (1906). Flying-Machine. US Patent No. 821393.
Xiao, C., Hao, S., Cheng, D., & Liao, C. (2022). Safety Enhancement by Optimizing Frequency of Implantable Cardiac Pacemaker Wireless Charging System. IEEE Transactions on Biomedical Circuits and Systems, 16(4). https://doi.org/10.1109/TBCAS.2022.3170575
Yu, X., Zhao, P., Chao, K., Ji, X., & Fu, M. (2022). Power Relay Module Based Charging Function Extension for Standard Wireless Charger. In 2022 IEEE Energy Conversion Congress and Exposition (ECCE). https://doi.org/10.1109/PEAC56338.2022.9959515
Zhang, W., Zhang, T., Guo, Q., Shao, L., Zhang, N., Jin, X., & Yang, J. (2018). Highefficiency wireless power transfer system for 3D, unstationary free-positioning and multi-object charging. IET Power Electronics, 11(5), 810-817. https://doi.org/10.1049/IET-EPA.2017.0581
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