Journal
APPLIED SCIENCES-BASEL
Volume 12, Issue 5, Pages -Publisher
MDPI
DOI: 10.3390/app12052286
Keywords
wireless power transfer (WPT); power transfer efficiency (PTE); transferred power (TP); Thompson sampling efficient multi-objective optimization (TSEMO) algorithm
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This article focuses on the optimization of the key indicators PTE and TP in the wireless power transfer system. The Thompson sampling efficient multi-objective optimization algorithm is used to simultaneously optimize PTE and TP in the S-S compensation topology. The coils are optimized through the co-calculation of MATLAB and COMSOL, and oversized coils are deleted to meet the constrained area. The results show that this design strategy can achieve better TP at the expense of lower PTE, improving the overall performance of the system.
Power Transfer Efficiency (PTE) and Transferred Power (TP) are two crucial indicators of the wireless power transfer (WPT) system. However, in most compensatory topologies, the ideal coils design parameters of PTE and TP are inconsistent, implying that optimizing for one indicator would make another indicator less effective. As a result, in this article, the Thompson sampling efficient multi-objective optimization (TSEMO) algorithm is used to simultaneously optimize PTE and TP in the S-S compensation topology. Through the co-calculation of MATLAB and COMSOL, the coils can be optimized in the environment of magnetic material (ferrite) and conductive material (aluminum). Coils larger than the underwater vehicle's size are deleted during the data interaction between MATLAB and COMSOL to guarantee that the optimal PTE and TP can be attained within the constrained area. Due to the open standard external software packages between MATLAB and COMSOL, the entire optimization process may be automated. The results show that for WPT systems with restricted input voltage, such as the battery, this design strategy can achieve better TP at the expense of lower PTE, which is highly beneficial in improving the system's overall performance.
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