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Record W2919294406 · doi:10.1049/pbpo115e_ch13

DC-based EVs and hybrid EVs

2018· book-chapter· en· W2919294406 on OpenAlex
Ruoyu Hou, Jing Guo, Ali Emadi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInstitution of Engineering and Technology eBooks · 2018
Typebook-chapter
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsConvertersCommercializationCapacitorDual (grammatical number)EngineeringElectrical engineeringPower (physics)InverterDual modeNetwork topologyComputer sciencePower electronicsElectronicsElectronic engineeringAutomotive engineeringComputer networkVoltageBusiness

Abstract

fetched live from OpenAlex

In this chapter, the power electronics converters and inverter in vehicle application are introduced. Several possible topologies for PFC, isolated DC/DC converter, APM, and APF are presented. The practical design of DC bus bars and the selection of power switch devices and DC-link capacitors are given. Finally, the state-of-theart topological reconfigurations of DC systems in electrified vehicles are presented. One of the biggest challenges for the next generation of power electronic systems in vehicle application will be the cost reduction to provide more affordable solutions. This has become one of the major barriers for electrified vehicle for mass commercialization. These dual-mode integration approaches are dedicated to vehicle application and can reduce the cost, size, and weight of the system. Therefore, they will also help promoting and accelerating the paradigm shift to the transportation 2.0.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.784
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.215
Teacher spread0.204 · 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