Maximum Efficiency Tracking Control for Omnidirectional Wireless Power Transfer System Based on AdamW Algorithm
In order to increase the transmission efficiency of the receiving and transmitting coils of the omnidirectional wireless power transfer (OWPT) system in all-direction wireless transmission, and to reach the system's maximum efficiency output under constant output power, avoiding the power losses caused by additional dc–dc converters. This article proposes a maximum efficiency point tracking control algorithm based on AdamW algorithm. The system equivalent circuit model of three transmitting coils OWPT double-side <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LCC</i> compensation network is established in this article, and a maximum efficiency tracking control method based on AdamW is proposed. By changing the input voltage of the three transmitting coils and adjusting the current of the transmitting coils, the overall efficiency of the system can be optimized under constant power output. The effectiveness of the OWPT maximum transmission efficiency control method based on AdamW algorithm is verified by experiments, which can achieve the maximum efficiency output of the receiving coil at any position.
Authors
- Weizhang Song (ORCID: https://orcid.org/0000-0002-4638-7314)
- Patrick Wheeler (ORCID: https://orcid.org/0000-0003-0307-581X)
- Jiang Liu (ORCID: https://orcid.org/0000-0001-8644-403X)
- Biying Ren (ORCID: https://orcid.org/0000-0001-6654-7015)
- Zechi Chen (ORCID: https://orcid.org/0000-0003-0945-9216)
- Xiangdong Sun (ORCID: https://orcid.org/0000-0002-4984-5616)
Institutions
- Xi'an University of Science and Technology (CN)
- University of Nottingham (GB)
- Xi'an University of Technology (CN)
Publication Details
- Journal
- IEEE Transactions on Power Electronics
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1109/tpel.2024.3486048
- Citations
- 4
- Primary Topic
- Wireless Power Transfer Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.83