Intelligent energy management agent for a parallel hybrid vehicle Conference Paper

abstract

• This paper proposes an Intelligent Energy Management Agent (IEMA) for parallel hybrid vehicles. IEMA incorporates a driving situation identification component whose role is to assess the driving environment, the driving style of the driver and the operating mode of the vehicle using long and short term statistical features of the drive cycle. This information is subsequently used by the torque distribution and charge sustenance components of IEMA to determine the power split strategy, which is shown to lead to enhanced fuel economy and reduced emissions.

authors

• Langari, Gholamreza

published proceedings

• PROCEEDINGS OF THE 2003 AMERICAN CONTROL CONFERENCE, VOLS 1-6

author list (cited authors)

• Won, J. S., & Langari, R.

complete list of authors

• Won, JS||Langari, R

publication date

• November 2003

publisher

• Texas A&M University  Publisher

published in

• Proceedings of the ... American Control Conference. American Control Conference  Journal

keywords

• Charge Sustenance
• Driving Cycle
• Energy Management
• Hybrid Vehicle
• Intelligent Energy Management Agent
• Torque Distribution

International Standard Book Number (ISBN) 10

• 0-7803-7896-2

URI

• https://hdl.handle.net/1969.1/271

start page

• 2560

end page

• 2565

volume

• 3