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Record W1583587114 · doi:10.4271/2009-01-1331

Report on the Field Performance of A123Systems’ Hymotion™ Plug-In Conversion Module for the Toyota Prius

2009· article· en· W1583587114 on OpenAlexaboutno aff
Huang-Yee Lu, John Smart

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2009
Typearticle
Languageen
FieldEngineering
TopicElectric Vehicles and Infrastructure
Canadian institutionsnot available
FundersIdaho National LaboratoryU.S. Department of Energy
KeywordsField (mathematics)Automotive engineeringComputer scienceEngineeringMathematics

Abstract

fetched live from OpenAlex

A123Systems’ Hymotion™ L5 Plug-in Conversion Module (PCM) is a supplemental battery system that converts the Toyota Prius hybrid electric vehicle (HEV) into a plug-in hybrid electric vehicle (PHEV). The Hymotion module is a lithium ion battery pack with ∼5.0 kWh of capacity. It recharges by plugging into a standard 110/120V outlet. The system was designed to more than double the Prius’ fuel efficiency for 30 to 50 km of charge depleting range. The Hymotion L5 PCM is the first commercially available aftermarket product complying with NHTSA impact standards. Since 2006, over 50 initial production Hymotion Plug-in Conversion Modules have been installed in private fleet vehicles across the United States and Canada and monitored for performance. With the help of the Idaho National Laboratory, which conducts the U.S. Department of Energy's (DOE) Advanced Vehicle Testing Activity (AVTA), A123Systems collected and analyzed real-time vehicle data from each fleet vehicle. This paper presents the results of this field evaluation.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.007
GPT teacher head0.213
Teacher spread0.207 · 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 designObservational
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

Citations8
Published2009
Admission routes1
Has abstractyes

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