Recent status and future prospects of integrated starter-generator based hybrid electric vehicles
Bibliographic record
Abstract
The integrated starter generator (ISG) technique has been widely used in the past in hybrid electric vehicle (HEV) drive trains. Instead of 2 independent electric machines, as in conventional vehicles, the ISG functions both as a starting engine as well as a generator, which facilitates the generation of on-board electric power. In this paper, the usage of the ISG in various advanced HEV topologies, including mild HEVs, and different dual-voltage vehicular electrical systems, will be briefly reviewed and compared. In addition, the prime ISG options, including induction machine (IM), permanent magnet synchronous machine (PMSM), as well as the switched reluctance machine (SRM) will be investigated from the point of view of performance characteristics and efficiency requirements. The current status and major improvements in terms of future action plans, for popularly proposed ISG control strategies, will also be presented in this paper.
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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) | 0.000 | 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".