System Identification and Tuning of WPT Systems
Paper in proceeding, 2017

We present a procedure for system identification and tuning of a wireless power transfer (WPT) system with four magnetically coupled resonators, where each resonator consists of a coil and a capacitor bank. The system-identification procedure involves three main steps: 1) individual measurement of the capacitor banks in the system; 2) measurement of the frequency-dependent two-port impedance matrix of the magnetically coupled resonators; and 3) determining the inductance of all coils and their corresponding coupling coefficients using a Bayesian approach. The Bayesian approach involves solving an optimization problem where we minimize the mismatch between the measured and simulated impedance matrix together with a penalization term that incorporates information from a direct measurement procedure of the inductances and losses of the coils. This identification procedure yields an accurate system model which we use to tune the four capacitance values to recover high system-performance and account for, e.g., manufacturing tolerances and coil displacement. For a prototype WPT system, we achieve 3.3 kW power transfer with 91% system efficiency over an air-gap distance of approximately 20 cm.

impedance matching

Wireless power transfer (WPT)

charging electric vehicles

tuning

magnetically coupled resonators

system identification

Author

JOHAN WINGES

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Thomas Rylander

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Tomas McKelvey

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Carl Petersson

Qrtech AB

Christian Ekman

Qrtech AB

Lars-Åke Johansson

Qrtech AB

2017 IEEE 17th International Conference on Environment and Electrical Engineering (EEEIC)

7977544

Safe inductive energy transfer for electric vehicles

Swedish Energy Agency (38577-1), 2014-05-15 -- 2017-06-30.

Areas of Advance

Transport

Energy

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/EEEIC.2017.7977544

More information

Latest update

9/6/2018 1