Using Real-Time Simulation in Hybrid Electric Drive and Power Electronics Development: Process, Problems and Solutions
Why this work is in the frame
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Bibliographic record
Abstract
<div class="htmlview paragraph">This paper highlights the usage of real-time simulation in the development process of hybrid electric drive and other vehicle components that make use of power electronics. The paper objective is to demonstrate the various usages of real-time simulation technologies in the V-cycle design process of hybrid vehicle named Faster-Than-Real-Time (FTRT), Rapid Control Prototyping (RCP) and Hardware-In-the-Loop (HIL). The paper explains these solutions in the context of design of fuel cell hybrid electric vehicle systems and power converters.</div> <div class="htmlview paragraph">The paper shows that the fast dynamic of electric systems requires powerful real-time simulators as well as adapted solvers and simulation techniques. Special models are required to accurately simulate in real-time the power converter and drives found in hybrid electric vehicles.</div> <div class="htmlview paragraph">The paper demonstrates this by the use of basic examples followed by the real-time simulation of a fuel cell hybrid vehicle (FCHV). The FCHV case makes use of the two main applications of real-time simulation technologies, RCP and HIL simulation, interconnected in a complete fuel cell hybrid vehicle application.</div>
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it