High frequency analysis of an integrated planar transformer with common mode EMI suppression capability
Bibliographic record
Abstract
High frequency transformers are one of the essential building blocks to provide galvanic isolation for power converters. Due to the switching nature of the converter, electromagnetic compatibility (EMC) of these converters is an essential requirement, to ensure not only its own operation but also the safe and secure operation of surrounding electrical equipment that are connected to same power distribution network. Thus, strict EMC standards such as CISPR 12 or SAEJ551/5 are imposed to provide safe and reliable operation of the power converters. Conventional passive filters used for EMI mitigation in power converters, comes at the expense of cost, size and weight, power losses and PCB real estate. In this paper, an integrated EMI filter embedded into the main high frequency planar transformer used in the DC/DC converter is proposed as a very cost-effective and efficient solution. The proposed structure is able to significantly suppress the Common-Mode (CM) EMI noise generated in the DC/DC converter. In order to evaluate the performance of the integrated transformer, a high frequency simulation through HFSS has been performed. Also, a prototype has been implemented to assess the feasibility of the proposed structure and confirm the HFSS simulation results. The results obtained from a 3KW prototype show that the proposed integrated EMI filter can effectively suppress the CM noise particularly for power converters operating at high switching frequency. The proposed structure can be a very simple and cost-effective EMI filtering solution for many applications such as future plug-in electric vehicle.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".