Abstract
This paper aims to investigate the dynamic charging performance of an 11 kW dynamic inductive power transfer (DIPT) system. First, a multi-objective optimization (MOO) method is proposed to find the Pareto front of the DD charging pad. Then, the optimal design with a 96.82% efficiency is selected as the target design for the DIPT system. Based on the coupler mutual inductance at different misalignment, the orientation of the transmitter (Tx) and receiver (Rx) pads and the distance between Tx pads are studied and optimized. To obtain the dynamic characteristics of the DIPT system, the impact of mutual inductance variation is investigated, and a dynamic model using Laplace phasor transformation is built to solve the waveform amplitude of electrical variables. Finally, a time-variant circuit model is built. Based on the simulations, the dynamic model is proved to be accurate, and the proposed DIPT system displays a good dynamic charging performance.
Original language | English |
---|---|
Title of host publication | 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC) |
Place of Publication | Piscataway |
Publisher | IEEE |
Pages | 751-756 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-7281-5660-6 |
ISBN (Print) | 978-1-7281-5661-3 |
DOIs | |
Publication status | Published - 2021 |
Event | 19th IEEE International Power Electronics and Motion Control Conference, PEMC 2021 - Gliwice, Poland Duration: 25 Apr 2021 → 29 Apr 2021 |
Conference
Conference | 19th IEEE International Power Electronics and Motion Control Conference, PEMC 2021 |
---|---|
Country/Territory | Poland |
City | Gliwice |
Period | 25/04/21 → 29/04/21 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- dynamic characteristics
- dynamic inductive power transfer
- dynamic modelling method
- multi-objective optimization