NTL Record

Title Eco-Drive Experiment on Rolling Terrain for Fuel Consumption Optimization
Record ID 65587
Personal Name
Creator
Ma, Jiaqi; Hu, Jia; Leslie, Ed; Zhou, Fang; Huang, Zhitong
Personal Name
Contributor
Huang, P. C.; Bared, Joe G.
Corporate Creator Leidos
Corporate
Contributor
United States. Federal Highway Administration. Office of Operations Research and Development; United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center
Publisher United States. Federal Highway Administration. Office of Operations Research and Development
Publication Date 20170916
Language English
Abstract Eco-drive is one of the many theoretical concepts that have been developed to increase vehicle fuel efficiency and improve the sustainability of the entire transportation system within the connected vehicle paradigm. This study proposes an eco-drive algorithm for vehicle fuel consumption optimization on rolling terrains, which frequently cause additional fuel waste because of inefficient transformation between kinetic and potential energy. The algorithm uses the Relaxed Pontryagin’s Minimum Principle (RPMP), is computationally efficient, and is applicable in real time. While similar algorithms have proven effective in simulation with many assumptions, it is necessary to test these algorithms in the field to better understand the algorithm’s performance and thus enable optimal vehicle control in support of eco-driving. Therefore, this study further tested and verified the newly developed algorithms on an innovative connected and automated vehicle (CAV) platform and quantified the fuel saving benefits of eco-drive. The proposed eco-drive system is compared against conventional constant-speed cruise control on a total of 7 road segments over 47 miles. Experimental data show that more than 20 percent of fuel consumption can be avoided on certain terrains. Detailed analysis through linear models also reveals the main geometrical contributors to eco-drive fuel savings. This conclusion can enable a rough estimate of fuel saving potential on given roadways and help State departments of transportation to identify roadways where eco-drive should be implemented. The algorithm and the experiment can also support original equipment manufacturers in developing and marketing this technology to reduce fuel consumption and emissions in the future.
Rosap ID dot:37692
Rosap URL https://rosap.ntl.bts.gov/view/dot/37692
TRT Terms Fuel conservation; Ecodriving; Fuel consumption
Geographical
Coverage
United States
OCLC 1042220203
Contract Number DTFH6116D00030 Task Order 07
Report Number FHWA-HRT-18-037
Resource type Tech Report
URL https://ntlrepository.blob.core.windows.net/lib/65000/65500/65587/FHWA-HRT-18-037.pdf
Format PDF
Database NTL Digital Repository