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Title: Connectivity-enhanced route selection and adaptive control for the Chevrolet Volt

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. Furthermore, these represent substantial opportunities considering that they only require software adjustments to implement.
 [1] ;  [1] ;  [2]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. General Motors R&D, Warren, MI (United States)
Publication Date:
OSTI Identifier:
Report Number(s):
Journal ID: ISSN 2328-2142
Grant/Contract Number:
Accepted Manuscript
Journal Name:
Journal of Traffic and Transportation Engineering
Additional Journal Information:
Journal Volume: 4; Journal Issue: 1; Journal ID: ISSN 2328-2142
David Publishing Company
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
Country of Publication:
United States
30 DIRECT ENERGY CONVERSION; intelligent transportation systems; green routing; vehicle drive cycles/profiles; route-based/adaptive powertrain control; vehicle telematics/navigation; vehicle energy use prediction