Implementation of a Topologically Optimized Heat Sink for Non-Uniform Heat Fluxes in an Electric-Vehicle Fast-Charger
Bibliographic record
Abstract
High-power electrical topologies, typically employed in power conversion systems such as electric vehicle (EV) charg-ers, often utilize several discrete power semiconductor devices with varying electrical loads and material properties, resulting in non-uniform heat fluxes. Due to manufacturing limitations, commercially available heat sinks are designed to reduce overall device temperature but cannot provide an application-specific solution to target these non-uniform heat fluxes. This work utilizes a novel additive manufacturing technique using wire-arc thermal spray to fabricate a topologically optimized heat sink for cooling an EV fast charger. The heat sink is designed to reduce the temperature differences in power semiconductor devices with non-uniform heat fluxes. A modified commercially available heat sink containing a copper tube embedded in an aluminum plate is used as a baseline and compared to the proposed design. Experimental results demonstrate that the optimized heat sink yields a 27% reduction in average thermal resistance from the cooling fluid to the surface of the heat sink under each device and a 25% reduction in maximum heat sink surface temperature difference.
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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 | 0.000 |
| 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 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".