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Record W1984092116 · doi:10.4271/2013-01-1475

DC Charging and Standards for Plug-in Electric Vehicles

2013· article· en· W1984092116 on OpenAlexaff
Richard A. Scholer

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsChrysler (Canada)
Fundersnot available
KeywordsPlug-inSpark plugAutomotive engineeringElectrical engineeringComputer scienceEngineeringAerospace engineeringOperating system

Abstract

fetched live from OpenAlex

This paper is the fourth in the series of documents designed to identify the progress on the SAE Plug-in Electric Vehicle (PEV) communication task force. - The initial paper (2010-01-0837) introduced utility communications (J2836/1™ & J2847/1) and how the SAE task force interfaced with other organizations. - The second paper (2011-01-0866) focused on the next steps of the utility requirements and added DC charging (J2836/2™ & J2847/2) along with initial effort for Reverse Power Flow (J2836/3™ & J2847/3). - The third paper (2012-01-1036) summarized the task force documents and interaction. It also included the continued testing of PowerLine Carrier (PLC) products for Utility and DC charging messages using Electric Power Research Institutes (EPRI) test plan and schedule that were used at EPRI and Argonne National Labs (ANL). It also included a more complete section on Reverse Power Flow that has now expanded to Use cases for the Plug-In Electric Vehicle (PEV) as a Distributed Energy Resource (DER) that is now published as J2836/3™. The purpose of this paper is to provide an update for Fast Charging or DC Charging. The documents for DC Level 1 & 2 charging have been published and include updates to three existing standards and the initial release of a fourth. J1772™ is the document for the EV Supply Equipment (EVSE), architecture and safety features for both AC and DC charging and was updated to place DC charging requirements back into it, since previous versions had it removed to focus on AC charging. The Combo connector was included along with isolation monitoring and control, precharge and additional safety features as part of the latest version of J1772™. J2931/1 is the communication requirements document and it was updated to include additional layers of the communication stack and harmonize with effort in ISO/IEC 15118 and DIN 70121 standards. The digital communication used for DC charging is PowerLine Carrier (PLC) known as HomePlug GreenPHY (HP GP) and is described in the initial release of J2931/4. PLC is a carrier signal on the J1772™ control pilot circuit and does not require additional terminals or circuits. The publication of these documents also aligns with the UL certification of the SAE Combo connector so both the standards and the products are moving into the implementation phase with a solid base of documentation and equipment. Customers can select different engines such as a V6 or V8 for the vehicle. The combination of modules and wiring is coordinated with these complexities so the vehicle is built correctly. It should be the same with on-board chargers and their EV Supply Equipment (EVSE) so the customer could choose the combination that matches their needs. The EVSE could be installed at their home or if desired, the customer could rely on public locations. Off-board chargers could be included in the home or public EVSE at a variety of power levels. This paper will identify an approach or tool that can be used to develop the customer value based on cost and time of re-charging both Plug-in Hybrid Electric (PHEV) and Battery Electric (BEV) types of Plug-in Electric Vehicles (PEV).

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0050.004
Open science0.0030.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0130.011

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 head0.264
Teacher spread0.253 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations5
Published2013
Admission routes1
Has abstractyes

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