Title :
Control strategy optimization for a parallel hybrid electric vehicle
Author :
Meintz, Andrew ; Ferdowsi, Mehdi
Author_Institution :
Missouri Univ. of Sci. & Technol., Rolla, MO
Abstract :
The efficiency improvement of parallel hybrid electric vehicles (HEVs) is strongly dependent on how the supervisory control of a vehicle determines the power split between the internal combustion engine (ICE) and the electric motor of the vehicle. This paper presents a classification of current supervisory control techniques with distinction between dynamic and static control methods; a description of the simulation software ADvanced VehIcle SimulatOR (ADVISOR) with Matlab Simulink for simulation of a rule-based control strategy, and proposed optimization methods.
Keywords :
electric motors; hybrid electric vehicles; internal combustion engines; machine control; optimisation; HEV; Matlab simulink; advanced vehicle simulator; control strategy optimization; dynamic control method; electric motor; internal combustion engine; parallel hybrid electric vehicle; power split; rule-based control strategy; static control method; supervisory control; Control systems; Energy management; Engines; Hybrid electric vehicles; Ice; Power system dynamics; Propulsion; Supervisory control; Torque control; Vehicle dynamics; ADVISOR; Control classification; Route prediction; Rule-based control; Supervisory control;
Conference_Titel :
Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-1848-0
Electronic_ISBN :
978-1-4244-1849-7
DOI :
10.1109/VPPC.2008.4677505
