A brushless exciter design for a hybrid permanent magnet generator applied to series hybrid electric vehicles
Bibliographic record
Abstract
This paper discusses the design of a brushless exciter for a hybrid permanent magnet (HPM) generator for application in series hybrid electric vehicles (SHEV). The brushless exciter has a 36-pole stator winding and multi-phase rotor configuration that supplies the HPM wound field (WF) rotor via a rotating rectifier. The brushless exciter rotor components are all assembled on the same shaft as the HPM generator rotor. The HPM machine is engine mounted and has to accommodate a through shaft. This forms one of the constraints on the HPM generator and brushless exciter design. Moreover, to minimize component count the brushless exciter design is constrained to use the same laminations as those used in the HPM generator. A multiphase design approach is used for the brushless exciter rotor that, together with an uncontrolled passive rectifier, delivers a high quality DC output to the HPM WF. This eliminates the necessity for passive smoothing of the rectified DC output and hence improves the reliability of the system. Dynamic behaviour of the brushless exciter is analysed to examine the response and effectiveness of the proposed design.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".