Multi-objective optimization of wireless power transfer systems with magnetically coupled resonators and nonlinear loads
Journal article, 2019

© 2019 Progress In Electromagnetics Research B. We present an optimization procedure for wireless power transfer (WPT) applications and test it numerically for a WPT system design with four resonant circuits that are magnetically coupled by coaxial coils in air, where the magnetic field problem is represented by a fully populated inductance matrix that includes all magnetic interactions that occur between the coils. The magnetically coupled resonators are fed by a square-wave voltage generator and loaded by a rectifier followed by a smoothing filter and a battery. We compute Pareto fronts associated with a multi-objective optimization problem that contrasts: 1) the system efficiency; and 2) the power delivered to the battery. The optimization problem is constrained in terms of: 1) the physical construction of the system and its components; 2) the root-mean-square values of the currents and voltages in the circuit; and 3) bounds on the overtones of the currents in the coils in order assure that the WPT system mainly generates magnetic fields at the operating frequency. We present optimized results for transfer distances from 0.8 to 1.6 times the largest coil radius with a maximum power transfer from 4 kW to 9 kW at 85 kHz, which is achieved at an efficiency larger than 90%.

Author

Johan Winges

Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Signal Processing

Thomas Rylander

Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Signal Processing

Carl Petersson

QRTECH AB

Christian Ekman

QRTECH AB

Lars-Åke Johansson

QRTECH AB

Tomas McKelvey

Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Signal Processing

Progress in Electromagnetics Research B

1937-6472 (ISSN)

Vol. 83 2019 25-42

Subject Categories

Computational Mathematics

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.2528/PIERB18111507

More information

Latest update

11/6/2019