NDLI: Optimal velocity prediction for fuel economy improvement of connected vehicles

Content Provider	IET Digital Library
Author	Barik, Biswajit Bhat, Pradeep Krishna Oncken, Joseph Chen, Bo Orlando, Joshua Robinette, Darrell
Abstract	With the advancement of vehicle-to-vehicle and vehicle-to-infrastructure technologies, more and more real-time information regarding traffic and transportation system will be available to vehicles. This paper presents the development of a novel algorithm that uses available velocity bounds and powertrain information to generate an optimal velocity trajectory over a prediction horizon. When utilised by a vehicle, this optimal velocity trajectory reduces fuel consumption. The objective of this optimisation problem is to reduce dynamic losses, required tractive force, and completing trip distance with a given travel time. Sequential quadratic programming method is employed for this nonlinearly constrained optimisation problem. When applied to a GM Volt-2, the generated velocity trajectory saves fuel compared to a real-world drive cycle. The simulation results confirm the fuel consumption reduction with the rule-based mode selection and the energy management strategy of a GM Volt 2 model in Autonomie.
Starting Page	1329
Ending Page	1335
Page Count	7
ISSN	1751956X
Volume Number	12
e-ISSN	17519578
Issue Number	Issue 10, Dec (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/12/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5110
Journal	IET Intelligent Transport Systems
Publisher Date	2018-09-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Autonomie Connected Vehicle Dynamic Loss Reduction Energy Management Energy Management System Fuel Consumption Reduction Fuel Economy Fuel Economy Improvement Mobile Radio System Nonlinearly Constrained Optimisation Problem Optimal Velocity Prediction Optimal Velocity Trajectory Generation Optimisation Technique Power System Economics Power System Managemen Power System Operation Powertrain Information Prediction Horizon Quadratic Programming Rule-based Mode Selection Sequential Quadratic Programming Method Tractive Force Requirement Traffic System Transportation Transportation System Travel Time Trip Distance Completion Vehicle-to-infrastructure Technology Vehicle-to-vehicle Technology Vehicular Ad Hoc Network Velocity Bounds
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Receding horizon optimal control of HEVs with on-board prediction of driver's power demand

Global optimal energy management control strategies for connected four-wheel-drive hybrid electric vehicles

Implementation of velocity optimisation strategy based on preview road information to trade off transport time and fuel consumption for hybrid mining trucks

Optimal sizing of an electrical machine using a magnetic circuit model: application to a hybrid electrical vehicle

Cooperative control of connected hybrid electric vehicles and traffic signals at isolated intersections

Optimal operation of multi-vector energy storage systems with fuel cell cars for cost reduction

Energy management of a dual-mode power-split powertrain based on the Pontryagin's minimum principle

Electronic Horizon: Energy Management using Telematics Information

Vehicle System Impacts of Fuel Cell System Power Response Capability

Optimal velocity prediction for fuel economy improvement of connected vehicles

Similar Documents

Receding horizon optimal control of HEVs with on-board prediction of driver's power demand

Global optimal energy management control strategies for connected four-wheel-drive hybrid electric vehicles

Implementation of velocity optimisation strategy based on preview road information to trade off transport time and fuel consumption for hybrid mining trucks

Optimal sizing of an electrical machine using a magnetic circuit model: application to a hybrid electrical vehicle

Cooperative control of connected hybrid electric vehicles and traffic signals at isolated intersections

Optimal operation of multi-vector energy storage systems with fuel cell cars for cost reduction

Energy management of a dual-mode power-split powertrain based on the Pontryagin's minimum principle

Electronic Horizon: Energy Management using Telematics Information

Vehicle System Impacts of Fuel Cell System Power Response Capability

Optimal velocity prediction for fuel economy improvement of connected vehicles