Anti-Jerk Dynamic Modeling and Parameter Identification of an Electric Vehicle Based on Road Tests
Why this work is in the frame
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Bibliographic record
Abstract
Model-based design facilitates quick development of vehicle controllers early in the development cycle. The goal is to develop simple, accurate, and computationally efficient physics based models that are capable of real-time simulation. We present models that serve the purpose of both plant and anti-jerk control design of electric vehicles (EVs). In this research, we propose a procedure for quick identification of longitudinal dynamic parameters for a high-fidelity plant and control-oriented model of an EV through road tests. Experimental data were gathered on our test vehicle, a Toyota Rav4EV, using an integrated measurement system to collect data from multiple sensors. A matlab/simulink nonlinear least square parameter estimator with a trust-reflective algorithm was used to identify the vehicle parameters. The models have been validated against experimental data.
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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) | 0.000 | 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 | 0.000 | 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 it