Intelligent energy management agent for a parallel hybrid vehicle

Author

Won, Jong-Seob ; Langari, Reza

Author_Institution

Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA

Volume

3

fYear

2003

fDate

4-6 June 2003

Firstpage

2560

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, driving style of the driver and 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.

Keywords

energy management systems; hybrid electric vehicles; intelligent control; power system identification; charge sustenance; drive cycle; driving environment; fuel economy; hybrid electric vehicles; intelligent energy management agent; long term statistical features; parallel hybrid vehicle; power split strategy; reduced emissions; short term statistical features; torque distribution; vehicles operating mode; Diffusion tensor imaging; Energy management; Engines; Fuel economy; Hybrid electric vehicles; Intelligent agent; Intelligent vehicles; Mechanical engineering; Torque; Vehicle driving;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2003. Proceedings of the 2003

ISSN

0743-1619

Print_ISBN

0-7803-7896-2

Type

conf

DOI

10.1109/ACC.2003.1243462

Filename

1243462