Post-Impact Stability Control for Four-Wheel- Independently-Actuated Electric Vehicles
Why this work is in the frame
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Bibliographic record
Abstract
Relevant studies show that vehicle instability such as drifting and spinning after the first impact may have further severe implications in road vehicle collision accidents. This paper presents a post-impact stability control scheme for four-wheel-independently-actuated electric vehicles (FWIA EVs). First, a sliding mode controller is designed to produce the reference yaw moment to attenuate undesired yaw motion after the first impact. Then, an optimization-based algorithm is developed for optimal wheel torque allocation and steering angle coordination to follow the derived reference yaw moment. Finally, the holistic algorithm is verified through co-simulation of Matlab/Simulink and CarSim. The verification results show that the developed scheme performs well and can maintain the stability of the test vehicle after a maximum lateral-rear impact impulse of 3500 Ns.
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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