Integrated Wireless Charging Receiver for Electric Vehicles With Dual Inverter Drives
Bibliographic record
Abstract
Wireless/contactless charging of electric vehicles can improve the safety and convenience of the electric vehicle charging process. However, in order to enable wireless charging on an electric vehicle, additional components need to be added to the vehicle, which increase the cost, and weight of the vehicle. Specifically, a wireless receiver coil and power electronics are required to receive the wireless power and charge the battery. This work proposes a new integrated wireless charger, which reuses the existing drivetrain components, such as the traction inverters and the motor, to serve as the receiver-side power electronics for wireless charging. Importantly, this topology limits the high frequency currents entering the traction components, such as the motor, which are susceptible to high frequency losses. The drivetrain can serve to control the charging rate of the batteries, which eliminates the need for transmitter side battery charging control and communication. Experimental validation was done by coupling a 110 kW EV machine and dual-inverter drivetrain to a 6.6 kW wireless transmission system. A peak charging efficiency of 94.3% over a vertical coil distance of 200 mm was achieved.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".