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Title: Connectivity-Enhanced Route Selection and Adaptive Control for the Chevrolet Volt: Preprint

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.
Authors:
; ;
Publication Date:
OSTI Identifier:
1155122
Report Number(s):
NREL/CP-5400-60960
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: To be presented at the 21st World Congress on Intelligent Transport Systems, 7-11 September 2014, Detroit, Michigan
Research Org:
National Renewable Energy Laboratory (NREL), Golden, CO.
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy Vehicle Technologies Office
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS INTELLIGENT TRANSPORTATION SYSTEMS; GREEN ROUTING; VEHICLE DRIVE CYCLES/PROFILES; ROUTE-BASED/ADAPTIVE POWERTRAIN CONTROL; VEHICLE TELEMATICS/NAVIGATION; VEHICLE ENERGY USE PREDICTION; Transportation