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Record W4401070335 · doi:10.1109/access.2024.3435463

An Overview of 800 V Passenger Electric Vehicle Onboard Chargers: Challenges, Topologies, and Control

2024· article· en· W4401070335 on OpenAlexafffund
Sukanya Dutta, Jennifer Bauman

Bibliographic record

VenueIEEE Access · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNetwork topologyBattery (electricity)Computer scienceElectric vehicleBattery chargerElectrical engineeringAutomotive engineeringPower (physics)EngineeringComputer network

Abstract

fetched live from OpenAlex

Ultrafast charging can help increase the adoption of battery electric vehicles (BEVs) as it solves the prime issues of range anxiety and long charging time. However, for conventional 400 V battery systems, these high charging currents can become infeasible due to cable limitations and thermal issues. Fortunately, 800 V systems can provide higher charging power capacity at lower current levels, better enabling ultrafast charging. The emerging shift to 800 V systems from 400 V systems requires careful design considerations for the on-board charger (OBC). This article fills a gap in the literature by performing a comprehensive review of state-of-the-art 800 V passenger BEV OBC topologies and control, focusing primarily on 1-phase topologies as the majority of residential charging connections are 1-phase. This article also reviews the main design challenges for 800 V OBCs and relevant industrial products, and provides a discussion of related future trends.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score0.601

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 communication0.0000.001
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 head0.086
GPT teacher head0.367
Teacher spread0.281 · 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

Citations20
Published2024
Admission routes2
Has abstractyes

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