Optimal Energy Management of a Dual-motor Electric Vehicle using Dynamic Programming
Why this work is in the frame
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Bibliographic record
Abstract
Energy management for the dual-motor all-wheel drive (AWD) electric vehicles (EV) is a trendy topic. The objective of this study is to develop a strategy that transfers the traction forces between two electric motors installed at the front and rear axles in order to reduce battery usage as much as possible. This paper takes the advantages of dynamic programming (DP) to obtain the global optimal results for this challenge. The discrete-time system model is firstly deduced by a backward formalism method, then DP computation is applied based on a Matlab toolbox. With the proposed strategy, the remaining battery state of charge under the New European Driving Cycle (NEDC) is up to 85.25% while satisfying all system constraints. The proposed solution can be the benchmark for other researchers to develop their energy management strategies for the mentioned kind of EV.
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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 | 0.001 |
| 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 it