Simplified modelling techniques for dynamic wireless power transfer

Jakubiak, Krzysztof ORCID: https://orcid.org/0000-0003-1195-4697, Liang, Jun ORCID: https://orcid.org/0000-0001-7511-449X, Cipcigan, Liana ORCID: https://orcid.org/0000-0002-5015-3334, Li, Chuanyue ORCID: https://orcid.org/0000-0001-6835-6642 and Wu, Jingzhe 2024. Simplified modelling techniques for dynamic wireless power transfer. Electronics 13 (21) , 4300. 10.3390/electronics13214300

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Abstract

Recent advancements in Dynamic Wireless Power Transfer (DWPT) have highlighted the need for further research, particularly in the area of modelling and simulation techniques. As the power transferred between charging pads depends on vehicle position, the load profile of the DWPT is therefore a function of the vehicle’s movement which is dependent on user behaviour and is inherently stochastic. For DWPT, these events involve high instantaneous power and are short in duration. To better understand the impact of DWPT, accurate models are required to test control systems and potential solutions. Additionally, these systems require high-frequency simulation for DWPT, which results in long simulation times during development. This paper presents a simplified model for circuit components that eliminates high-frequency switching elements, enabling the use of larger simulation time steps and significantly reducing simulation time. By applying circuit analysis and calculating equivalent impedances, the model provides average circuit values that effectively represent waveform amplitudes without the need to simulate instantaneous, high-frequency variations. To ensure the efficiency of grid-connected simulations and achieve a level of accuracy that reflects the internal dynamics of wireless charging, subsystem simulations demonstrated significant time improvements at the cost of minimal accuracy loss. For DC/DC converters operating at 2 kHz, simulation time was reduced by 3× with only a 1% error. The DWPT subsystem, operating at 85 kHz, achieved an 18× reduction in simulation time with a 2.5% deviation. When combined, the full system resulted in a 30-fold reduction in simulation time with only a 6% deviation from the base model.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Additional Information:	License information from Publisher: LICENSE 1: URL: https://creativecommons.org/licenses/by/4.0/, Type: open-access
Publisher:	MDPI
Date of First Compliant Deposit:	8 November 2024
Date of Acceptance:	26 October 2024
Last Modified:	28 Nov 2024 12:00
URI:	https://orca.cardiff.ac.uk/id/eprint/173771

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