Adaptive control of hybrid vehicle depending on driving cycle analysis

Author

Chrenko, Daniela ; Ravey, Alexandre ; Djerdir, A. ; Miraoui, Abdellatif

Author_Institution

Inst. Super. de l´Automobile et des Transp., Univ. of Burgundy, Nevers, France

fYear

2013

fDate

10-13 Nov. 2013

Firstpage

4552

Lastpage

4557

Abstract

The most adapted energy management in hybrid electric vehicles depends on the current driving situation. This paper describes a novel control strategy based on driving cycle recognition. A Driving Cycle Recognition Algorithm (DCRA) is firstly presented. It allows recognition between three driving modes: urban, suburban and highway. A real-time control strategy is then defined based on fuzzy logic using DCRA. Results are presented and compared to fuzzy logic controllers parametrized for urban or highway cycles.

Keywords

adaptive control; fuzzy control; hybrid electric vehicles; road vehicles; DCRA; adaptive control; driving cycle analysis; driving cycle recognition algorithm; driving modes; energy management; fuzzy logic controllers; highway cycles; hybrid electric vehicles; urban cycles; Batteries; Energy management; Fuels; Fuzzy logic; Ice; Internal combustion engines; Vehicles; Energy Management; Fuzzy Logic; Parallel Hybrid Electric vehicles; Vehicle Driving;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE

Conference_Location

Vienna

ISSN

1553-572X

Type

conf

DOI

10.1109/IECON.2013.6699869

Filename

6699869