A Three-Phase Electric Vehicle Charger Integrated With Dual-Inverter Drive
Bibliographic record
Abstract
Lack of charging stations and long charge times are critical barriers to widespread electric vehicle (EV) adoption. High power off-board charging stations can address these issues but are expensive to implement. This article presents a three-phase EV charger integrated with the dual-inverter drive. Integrated charging can substantially reduce the charging station costs by reusing drivetrain components, such as power electronics and cooling systems, for charging when the EV is parked. The dual-inverter drive allows for significant current ripple reduction throughout the charger. Operation and control of the presented charger are discussed while functionality is experimentally verified with a 10- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$kW$ </tex-math></inline-formula> -rated prototype. The prototype is able to perform constant current, constant voltage (CCCV) charging of two isolated energy storage units (ESUs) from a three-phase grid with <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$> 0.99$ </tex-math></inline-formula> power factor. Charging is performed with balanced dc current passing through the dual-inverter’s motor windings to prevent torque generation during charging. The prototype achieves a peak efficiency of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$> 94\%$ </tex-math></inline-formula> while meeting grid current harmonic standards set by International Electrotechnical Commission (IEC)-61000-3-12.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".