Title :
Control strategy optimization for hybrid electric vehicle based on DIRECT algorithm
Author :
Zhang, Yaming ; Sun, Fengchun ; He, Hongwen
Author_Institution :
Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing
Abstract :
A new method based on DIRECT algorithm was presented for parametric optimization of control strategy for hybrid electric vehicles. A logic threshold control strategy (LTCS) implemented in an existing hybrid vehicle was considered. A set of parameters was adopted in the LTCS to command the operation of the vehicle. The optimal adjustment of these parameters was formulated as a constrained nonlinear programming problem with an objective function minimizing fuel consumption. A DIRECT algorithm was proposed and applied to find the optimal set of parameters. Simulation results demonstrate effectiveness of the proposed method which can be used for off-line parametric optimization and thus shorten the time of controller calibration in the real vehicle.
Keywords :
hybrid electric vehicles; nonlinear programming; DIRECT algorithm; LTCS; constrained nonlinear programming problem; control strategy optimization; dividing rectangle algorithm; fuel consumption minimization; hybrid electric vehicle; logic threshold control strategy; Automotive engineering; Batteries; Diesel engines; Fuels; Hybrid electric vehicles; Hybrid power systems; Mechanical power transmission; Optimization methods; Power engineering and energy; Propulsion; Control Strategy; Dividing Rectangle (DIRECT) Algorithm; Hybrid Electric Vehicle (HEV); Optimization;
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.2008.4677517