MétaCan
Menu
Back to cohort
Record W2588973099 · doi:10.1109/ecce.2016.7855526

Topology and controller of an isolated bi-directional AC-DC converter for electric vehicle

2016· article· en· W2588973099 on OpenAlexaff
Koushki Behnmam, Praveen Jain, Alireza Bakhshai

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsDuty cycleTopology (electrical circuits)Electronic circuitTransformerBattery chargerMaximum power transfer theoremComputer scienceElectric-vehicle batteryElectronic engineeringElectrical engineeringElectric vehicleControl theory (sociology)VoltagePower (physics)Battery (electricity)EngineeringPhysicsControl (management)

Abstract

fetched live from OpenAlex

An isolated, single-stage bidirectional AC-DC converter for electric vehicle battery charger is proposed. The topology utilizes two half-bridge circuits and a series resonant LC circuit in between. The proposed topology uses only six switches. Low component count in the circuit results in lower cost and volume. Control methods using variable phase-shift and duty-cycles of the half-bridge circuits are proposed. They transfer the desired power and obtain ZVS for all the switching instants while minimizing the RMS current through the resonant circuit and switches. ZVS operation of the circuit enables the switching frequency to increase, without increasing the switching losses. This will result in smaller reactive components and transformer. The proposed controllers also obtains the best performance out of the circuit. Simulation results with PSIM and experimental results to verify the theory have been done.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.005
GPT teacher head0.211
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced DC-DC ConvertersFrench-language works237,207