Paper Info
Title
The role of ITS in PHEV performance improvement
Abstract
Driving patterns have great impact on fuel economy or power split control decisions of PHEV (Plug-in Hybrid Electric Vehicle) energy management. In this paper, a statistical approach was used to analyze real world velocity profiles to gather traffic information such as average speed, speed limits, segment length, etc. A Markov chain model was developed to make use of such information for generation of random velocity profiles that are representative of real world driving scenarios. The velocity profiles generated using the Markov chain models are used to calculate vehicle fuel economy by means of a validated through the road parallel PHEV model and ECMS (Equivalent Consumption Minimization Strategy) control strategy. The end goal of the research is to find mathematical, statistical or heuristic relationships between road events and the performance of PHEV energy management.
Year
DOI
Venue
2011
10.1109/ACC.2011.5990968
American Control Conference
Keywords
DocType
ISSN
markov processes,energy management systems,fuel economy,hybrid electric vehicles,minimisation,power control,road traffic,road vehicles,statistical analysis,traffic information systems,ecms control strategy,its,markov chain model,phev energy management,phev performance improvement,driving pattern,equivalent consumption minimization strategy,heuristic relationship,plug-in hybrid electric vehicle,power split control decision,random velocity profile generation,real world driving scenario,real world velocity profile,road parallel phev model,statistical approach,traffic information,vehicle fuel economy,energy management,markov process,mathematical model
Conference
0743-1619
ISBN
Citations 
PageRank 
978-1-4577-0080-4
3
0.41
References 
Authors
4
5
Name
Order
Citations
PageRank
Qiuming Gong114315.11
P. Tulpule2242.05
vincenzo marano330.41
shawn midlammohler430.41
Giorgio Rizzoni525856.95