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A Bidirectional Onboard Charger with G-V/V-G /V-H Functionality and Seamless Mode Transfer Capability for E-2 and E-3 Wheelers Applications

2023· article· en· W4386630459 on OpenAlexaff
Jitendra Gupta, Bhim Singh, Ambrish Chandra, Kamal Al‐Haddad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsTransfer (computing)InverterElectrical engineeringGridComputer scienceMode (computer interface)Maximum power transfer theoremAutomotive engineeringVoltagePower (physics)EngineeringOperating systemPhysics

Abstract

fetched live from OpenAlex

A bidirectional onboard charger (BOBC)-cum-domestic inverter (DI) with a grid to vehicle (G-V)/vehicle to grid (V-G) and vehicle to home (V-H) operational functionality and seamless mode transfer capability are presented in this work for the electric two and three-wheelers (E2/3Ws) applications. Unlike conventional E2/3Ws chargers, the presented BOBC fulfills the charging demand of E2/3Ws battery packs and incorporates several other notable features from future energy-efficient and customer-friendly market perspectives. On one side, the presented system satisfactorily realizes four quadrants of active/reactive (P/Q) power transfer between AC and DC ends during G-V and V-G operations, its V-H mode operational capability, on the other side, fulfills the purpose of a domestic inverter for the E2/3Ws customers. Further, its seamless mode transfer capability guarantees reliable operation of the overall system during grid disconnection-reconnection scenarios under G-V/V-G/V-H mode operations, thus ensuring a high-performance experience for the customers. Besides, the wide output voltage range feature (36 V – 120 V) of the presented BOBC makes it compatible with all class of LEVs and thus considerably easy the production and selection of the LEVs chargers. Based on these notable characteristics, the overall operation of the presented BOBC, design objectives, and control architecture are presented. Finally, the claimed features of the BOBC-cum-DI systems are comprehensively analyzed, and relevant results are presented for performance validation.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

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 communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.023
GPT teacher head0.274
Teacher spread0.251 · 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 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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