Analysis and Design of Soft-Switching Active-Clamping Half-Bridge Boost Inverter for Inductive Wireless Charging Applications
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Bibliographic record
Abstract
This paper presents an accurate analysis and a design methodology for a fixed-frequency-controlled active-clamping half-bridge boost inverter (HBBI)-based series-series compensated inductive power transfer (SS-IPT) charging system. First, the operation principles of the active-clamping HBBI in the charging system are analyzed. Consequently, both the steady-state model and the small-signal model are correctly derived by using the extended describing function (EDF) method and are used to design the system. The derived steady-state model is employed to develop a new design approach to achieve zero-voltage switching (ZVS) for the inverter. The dynamic behavior of the system is investigated, and a digital controller for charging current regulation is designed based on the derived small-signal model. The proposed methodology enables not only reducing switching losses but also avoiding bifurcation. Finally, a 1-kW laboratory prototype is implemented to verify the accuracy of the theoretical analyses. Simulation and experimental results demonstrate that the control method can effectively regulate the charging current with a fast response and no steady-state errors and can enable the inverter to achieve ZVS over a wide variation of the charging current and the battery voltage. The hardware prototype achieves a peak dc-to-dc efficiency of 93.4% at a 170-mm air gap, which is comparable to other IPT systems at similar power levels in the literature.
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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 | 0.001 | 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 it