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

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

One of the major challenges in inductive wireless power transfer (WPT) systemsis that the optimal frequency of operation may shift predominantly due to couplingvariation as a result of so-called frequency splitting phenomenon. When frequencysplitting occurs, two additional resonance frequencies split from the coupler’sresonance frequency. Maximum power levels are observed at these split resonancefrequencies; however, these frequencies are strongly-dependent on the couplingcoefficient, hence the distance and alignment between the couplers. In addition tothat, peak power values at these frequencies can be different from each other dueto small impedance differences between the primary and secondary side resonantcouplers, forming a local and a global maximum. Therefore, the WPT systemshould adaptively operate at the correct frequency for achieving maximum powertransfer. In this paper, a metaheuristic Particle Swarm Optimization (PSO) basedfrequency tracking algorithm is proposed for use in WPT systems. The WPTsystem employs multi sub-coil flux pipe couplers, a full-bridge inverter which isdriven by TMS320F28069 controller card and is suitable for high power chargingapplications. The control algorithm can accurately find the global maximum powerpoint in case of frequency splitting with asymmetric peaks. The proposedfrequency tracking algorithm operates only at the primary side based onmeasurement of the input power level. Therefore, no additional communicationlink is needed between the primary and the secondary side. Effectiveness of theproposed control method is validated by performing experiments under threedifferent misalignment scenarios and compared to the traditional Perturb andObserve algorithm.

___

  • [1] Hui, S.Y. (2013). Planar wireless charging technology for portable electronic products and Qi. Proceeding of the IEEE, 101(6), 1290-1301.
  • [2] 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.
  • [3] 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.
  • [4] 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.
  • [5] 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.
  • [6] 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.
  • [7] 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.
  • [8] 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.
  • [9] 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.
  • [10] 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.
  • [11] 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.
  • [12] Sis, S.A., Kilic, F. & Sezen, S. (2019). Multi sub-coil flux pipe couplers and their use in a misalignmentadaptive wireless power transfer system. Journal of Electromagnetic Waves and Applications. 33(14), 1890-1904.
  • [13] 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.
  • [14] 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.
  • [15] 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.
  • [16] 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.
  • [17] 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.
  • [18] 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
  • 19] 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.
  • [20] 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.
  • [21] 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.
  • [22] Covic, G.A., & Boys, J.T. (2013). Inductive Power Transfer. Proceedin of IEEE, 101(6),1276-1289.
  • [23] 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.
  • [24] 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.
  • [25] Heebl, Jason D., et al. "Comprehensive analysis and measurement of frequency-tuned and impedancetuned wireless non-radiative power-transfer systems." IEEE Antennas and Propagation Magazine 56.4 (2014): 44-60.
  • [26] 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.
  • [27] 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.
  • [28] Soufi, Y., Bechouat, M. & Kahla. S. (2018 ). Particle swarm optimization based maximum power point tracking algorithm for photovoltaic energy conversion system.15th International MultiConference on Systems, Signals & Devices (SSD), Hammamet, IEEE, March, 773-779.
  • [29] 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.
  • [30] 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.
  • [31] 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 (IESETA), Bali, IEEE, October, 8-12.