Report on the Field Performance of A123Systems’s HymotionTM Plug-in Conversion Module for the Toyota Prius
Bibliographic record
Abstract
A123Systems’s HymotionTM 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 system uses a lithium ion battery pack with 4.5 kWh of useable energy capacity. It recharges by plugging into a standard 110/120V outlet. The system is designed to more than double the Prius fuel efficiency for 30-40 miles of charge depleting range. If the Hymotion pack is fully depleted, the Prius operates as a normal HEV in charge sustaining mode. The Hymotion L5 PCM is the first commercially available aftermarket product complying with CARB emissions and 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. With the help of the Idaho National Laboratory, which conducts the U.S. Department of Energy’s (DOE) Advanced Vehicle Testing Activity (AVTA), A123Systems collects real-time vehicle data from each fleet vehicle using on-board data loggers. These data are analyzed to determine vehicle performance. This paper presents the results of this field evaluation. Data to be presented includes the L5 Prius charge depleting range, gasoline fuel efficiency, and electrical energy efficiency. Effects of driving conditions, driving style, and charging patterns on fuel efficiency are also presented. Data show the Toyota Prius equipped with the Hymotion Plug-in Conversion Module is capable of achieving over 100 mpg in certain driving conditions when operating in charge depleting mode.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".