Abstract
The National Renewable Energy Laboratory and General Motors evaluated connectivity-enabled efficiency enhancements for the Chevrolet Volt. A high-level model was developed to predict vehicle fuel and electricity consumption based on driving characteristics and vehicle state inputs. These techniques were leveraged to optimize energy efficiency via green routing and intelligent control mode scheduling, which were evaluated using prospective driving routes between tens of thousands of real-world origin/destination pairs. The overall energy savings potential of green routing and intelligent mode scheduling was estimated at 5% and 3%, respectively. These represent substantial opportunities considering that they only require software adjustments to implement.
| Original language | American English |
|---|---|
| Pages (from-to) | 49-60 |
| Number of pages | 12 |
| Journal | Journal of Traffic and Transportation Engineering (English Edition) |
| Volume | 4 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Feb 2017 |
Bibliographical note
Publisher Copyright:© 2017
NREL Publication Number
- NREL/JA-5400-65425
Keywords
- green routing
- intelligent transportation systems
- route-based/adaptive powertrain control
- vehicle drive cycles/profiles
- vehicle energy use prediction
- vehicle telematics/navigation
