A Review of Key Technologies for Optimising the Efficiency of Dynamic Wireless Power Transfer for Electric Vehicles
Keywords:
Dynamic Wireless Power Transfer, Efficiency Optimization, Magnetic Coupler, Resonant Compensation, Model Predictive ControlAbstract
The Dynamic wireless power transfer (DWPT) for electric vehicles allows you to charge all the time while the vehicle is moving. In this way, the possibility that the battery is dead will be reduced, and the price of the battery installed in the car will become cheaper. However, if the mutual inductance changes when the car is running, it will lead to the decrease of efficiency and the instability of power supply. This is the most difficult technical problem. In this paper, we look at the technology of improving efficiency from three important points. Three types: magnetic coupler, resonant compensation topology and control strategy. Together, these three factors determine the overall efficiency of the system, and changing the loss of power stage will further reduce the actual efficiency. magnetic coupler determine the upper limit of system efficiency. Its design changed from flat to three-dimensional, from passive to self-adjustment, from trial and error to data. Compensation topology is a representative example of LCC-S. Regardless of the coupling coefficient, the current at the transmitting side is constant to suppress the instability of power. secondary-side model predictive control can also respond to dynamics well. Most validations reported so far, however, have been carried out under simplified operating conditions and on low-power experimental platforms. Future progress calls for breakthroughs in three directions: adaptability across all operating conditions, high-power engineering implementation, and system-level coordination.Downloads
Published
2026-09-30
How to Cite
Zhang, S. (2026). A Review of Key Technologies for Optimising the Efficiency of Dynamic Wireless Power Transfer for Electric Vehicles. CPS Digital Library - Series of Conferences, (1), 76–83. Retrieved from https://seriesofconference.com/index.php/SCJ/article/view/489
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Copyright (c) 2026 Shaoqi Zhang

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