A misalignment-adaptive wireless power transfer system using PSO-based frequency tracking

Fuat Kilic, Serkan Sezen, Seyit Ahmet Sis


One of the major challenges in inductive wireless power transfer (WPT) systems is that the optimal frequency of operation may shift predominantly due to coupling variation as a result of  so-called frequency splitting phenomenon. When frequency splitting occurs, two additional resonance frequencies split from the coupler’s resonance frequency. Maximum power levels are observed at these split resonance frequencies; however, these frequencies are strongly-dependent on the coupling coefficient, hence the distance and alignment between the couplers. In addition to that, peak power values at these frequencies can be different from each other due to small impedance differences between the primary and secondary side resonant couplers, forming a local and a global maximum. Therefore, the WPT system should adaptively operate at the correct frequency for achieving maximum power transfer. In this paper, a metaheuristic Particle Swarm Optimization (PSO) based frequency tracking algorithm is proposed for use in WPT systems. The WPT system employs multi sub-coil flux pipe couplers, a full-bridge inverter which is driven by TMS320F28069 controller card and is suitable for high power charging applications. The control algorithm can accurately find the global maximum power point in case of frequency splitting with asymmetric peaks.   The proposed frequency tracking algorithm operates only at the primary side based on measurement of the input power level. Therefore, no additional communication link is needed between the primary and the secondary side. Effectiveness of the proposed control method is validated by performing experiments under three different misalignment scenarios and compared to the traditional Perturb and Observe algorithm.


Frequency tracking ; Frequency splitting ; Particle swarm optimization ; Adaptive wireless power transfer

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Hui, S.Y. (2013). Planar wireless charging technology for portable electronic products and Qi. Proceeding of the IEEE, 101(6), 1290-1301.

Wang, C.S., Stielau, O.H. & Covic, G.A. (2005) Design considerations for a contactless electric vehicle battery charger. IEEE Transanctions on Industrial Electronics, 52( 5), 1308-1314.

Imura, T., Okabe, H. & Hori, Y. (2009). Basic experimental study on helical antennas of wireless power transfer for electric Vehicles by using magnetic resonant couplings. Proceedings of Vehicle Power and Propulsion Conference, Dearborn, IEEE, September, 936-940.

Cho, I. K., Kim, S.M., Moon J.I., Yoon, J. H., Jeon, S.I. & Choi, J. I. (2013). Wireless power transfer system for docent robot by using magnetic resonant coils. Proceedings of IEEE 5th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE), Chendu, October, 251-254.

Deyle, T., & Reynolds, M. (2008). Surface based wireless power transmission and bidirectional communication for autonomous robot swarms. Proceedings of IEEE International Conference on Robotics and Automation (ICRA), Pasedana CA, May, 1036-1041.

Li, X., Tsui, C.Y., & Ki, W.H. (2015). A 13.56 MHz wireless power transfer system with reconfigurable resonant regulating rectifier and wireless power control for implantable medical devices. IEEE Journal of Solid-State Circuits, 50(4), 978-989. Apr.

Walk, J., Weber, J., Soell, C., Weigel, R., Fischer, G., & Ussmueller, T. (2014). Remote powered medical implants for telemonitoring. Proceeding of IEEE, 102(11), 1811-1832.

Chaidee, E., Sangswang, A., Naetiladdanon, S. & Mujjalinvimut, E. (2017). Maximum output power tracking for wireless power transfer system using impedance tuning. IECON 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, October- November, 6961-6966.

Luo, Y., Yang, Y., Chen, S. & Wen, X. (2017). A frequency-tracking and impedance-matching combined system for robust wireless power transfer. International Journal of Antennas and Propagation. 2017,1-13.

Barman, S.D., Reza, A.W., Kumar, N. & Anowar, T.I. (2015). Two-side Impedance Matching for Maximum Wireless Power Transmission. IETE Journal of Research, 62(4), 532-539.

Liu, N. & Habetler, T.G. (2015). Design of a universal inductive charger for multiple electric vehicle models. IEEE Transactions on Power Electronics, 30(11), 6378-6390.

Sis, S.A., Kilic, F. & Sezen, S. (2019). Multi sub-coil flux pipe couplers and their use in a misalignment-adaptive wireless power transfer system. Journal of Electromagnetic Waves and Applications. 33(14), 1890-1904.

Lin, Z., Wang, J., Fang, Z., Hu, M., Cai, C. & Zhang, J. (2018). Accurate maximum power tracking of wireless power transfer system based on simulated annealing algorithm. IEEE Access. 6, 60881-60890.

Hongbo, S. & Shuxia, L. (2008). The comparison between genetic simulated annealing algorithm and antcolony optimization algorithm for ASP. 4th International Conference on Wireless Communications, Networking and Mobile Computing, Dalian, IEEE, October, 1-6.

Abreu, R.L., Pimenta, T.C. & Spadoti, D.H. (2017). Self-tuning capacitance for impedance matching in wireless power transfer devices. 29th International Conference on Microelectronics (ICM); Beirut, IEEE, December, 1-4.

Jabri, I., Bouallegue, A. & Ghodbane, F. (2017). Frequency and misalignment P&O controller for wireless battery charger. International Conference on Green Energy Conversion Systems (GECS), Hammamet, IEEE, March, 1-6.

Li, Y., Zhang, C., Yang, Q., Li, J., Zhang, Y., Zhang, X. & Xue, M. (2018). Improved ant colony algorithm for adaptive frequency tracking control in WPT system. IET Microwaves, Antennas and Propagation, 12(1), 23-28.

Bai, J. & Li. S. (2011). Improvement in Extension of Ant Colony Optimization and its appliance. 3rd International Conference on Advanced Computer Control, Harbin, IEEE, January, 557-560.

Ibrahim, M., Bernard, L., Pichon, L., Labour´e, E., Razek, A., Cayol, O., Ladas, D. & Irving, J. (2016). Inductive Charger for Electric Vehicle: Advanced Modeling and Interoperability Analysis. IEEE Transactions on Power Electronics, 31(12), 8096-8114.

Schuetz, M., Georgiadis, A., Collado, A. & Fischer, G. (2015). A particle swarm optimizer for tuning a software-defined, highly configurable wireless power transfer platform. 2015 IEEE Wireless Power Transfer Conference (WPTC), Boulder, IEEE, May, 1-4.

Wang, M., Feng, J., Shi, Y., Shen, M. & Jing, J. (2018). A Novel PSO-Based Transfer Efficiency Optimization Algorithm for Wireless Power Transfer. Progress in Electromagnetics Research. 85, 63-75.

Covic, G.A., & Boys, J.T. (2013). Inductive Power Transfer. Proceedin of IEEE, 101(6),1276-1289.

Budhia, M., Covic, G. & Boys, J. (2010). A new ipt magnetic coupler for electric vehicle charging systems. IECON 36th Annual Conference on IEEE Industrial Electronics Society, Glendale, November, 2487–2492.

Siqi, L. and Mi, C.C. (2014). Wireless power transfer for electric vehicle applications. IEEE Journal of Emerging Selected Topics on Power Electronics. 3(1), 4-17.

Heebl, Jason D., et al. "Comprehensive analysis and measurement of frequency-tuned and impedance-tuned wireless non-radiative power-transfer systems." IEEE Antennas and Propagation Magazine 56.4 (2014): 44-60.

Kermadi, M., Salam, Z., Ahmed, J. & Berkouk, M. (2019). An effective hybrid maximum power point tracker of photovoltaic arrays for complex partial shading conditions. IEEE Transactions on Industrial Electronics. 66(9), 6990-7000.

Ram, J.P., Pillai, D.S., Rajasekar, N. & Strachan, S.M. (2019). Detection and identification of global maximum power point operation in solar PV applications using a hybrid ELPSO-P&O tracking technique. IEEE Journal of Emerging Selected Topics on Power Electronics, Early Access, 1-14.

Soufi, Y., Bechouat, M. & Kahla. S. (2018 ). Particle swarm optimization based maximum power point tracking algorithm for photovoltaic energy conversion system.15th International Multi-Conference on Systems, Signals & Devices (SSD), Hammamet, IEEE, March, 773-779.

Calvinho, G., Pombo, J., Mariano, S. & Calado, M.R. (2018). Design and implementation of MPPT system based on PSO algorithm. International Conference on Intelligent Systems (IS), Funchal Madeira, IEEE, September, 733-738.

Fahad, S., Mahdi, A.J., Tang, W.H., Huang, K. & Liu, Y. (2018). Particle swarm optimization based DC-link voltage control for two stage grid connected PV inverter. International Conference on Power System Technology, Guangzhou, IEEE, November, 733-738.

Efendi, M.Z., Setiawan, R.E., Murdianto, F.D., Mubarok, R.H., Windarko, N.A. & Dirmawan, M. (2018). A Performance evaluation of MPPT using modified PSO algorithm for battery charge application. International Electronics Symposium on Engineering Technology and Applications (IES-ETA), Bali, IEEE, October, 8-12.

DOI: http://dx.doi.org/10.11121/ijocta.01.2020.00926


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Copyright (c) 2020 Fuat KILIÇ, Serkan SEZEN, Seyit Ahmet SİS

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