Resonant Based DC-DC Converter for Fast EV Battery Charging Applications Using Novel Adder Architecture - Analysis, Design & Resonant Components Tolerance Effects
Bibliographic record
Abstract
Consistent efforts are being made to enable electrification of the transport industry for a cleaner environment. Though there has been substantial increase in electric vehicles (EVs); lack of adequate and quick charging points are proving to be major stumbling blocks to the wide spread adoption of electric vehicles. This paper presents a novel multi-module series connected dual active bridge resonant DC-DC converter with a unique adder configuration for obtaining wide output voltage (150V-920V) for EV battery charging applications. The system is conceived with the ability to connect multiple modules in parallel to facilitate the fast charging. A detailed analysis is performed to select components and also to briefly highlight the adverse effects of component tolerances in these multi-module systems. The manuscript suggests a simple modification in the temporal characteristics of waveform generated by the converter for addressing the component variation problem. A scaled down experimental prototype (voltage range of 42V-223V and power range of 0. 2kW-0.875kW) showing 95.5% peak efficiency is built to demonstrate proof of concept.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 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".