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Hamiltonian Control for CC-CV Primary-side Buck Converter of Inductive Wireless EV Charging

2024· article· en· W4404915125 on OpenAlexaff
Thanet Sriprom, Jutturit Thongpron, Uthen Kamnarn, Anon Namin, Noureddine Takorabet, Nicu Bizon, Serge Pierfederici, Babak Nahid‐Mobarakeh, Pongsiri Mungpom, Burin Yodwong, Phatiphat Thounthong

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHamiltonian (control theory)Buck converterWirelessElectrical engineeringPhysicsControl theory (sociology)Control (management)Computer scienceEngineeringMathematicsTelecommunicationsMathematical optimizationVoltage

Abstract

fetched live from OpenAlex

This study presents a Hamiltonian control law for constant current - constant voltage (CC-CV) inductive wireless charging. The novel control system design, simulation, and experimentation aimed to confirm the Hamiltonian controller is a superior choice. The wireless charging experiments tested the step-resistant battery simulator and the EV battery. Based on the findings, it is possible to run the Hamiltonian control law for continuous 10A and 82 V charging while maintaining optimal response, stability, and realization. The charging system's maximum efficiency and power were 76.5% and 782 W.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.768
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.207
Teacher spread0.198 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2024
Admission routes1
Has abstractyes

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