Title :
Hybrid model predictive control tracking of a sawtooth driving profile for an HEV
Author :
Uthaichana, Kasemsak ; Bengea, Sorin ; DeCarlo, Raymond ; Pekarek, Steve ; Zefran, Milos
Author_Institution :
Caterpillar Inc, Peoria, IL
Abstract :
Based on a two-mode operation model of a parallel hybrid electric vehicle (PHEV) developed in previous work, this paper presents a hybrid optimal control solution for the power management problem of a PHEV. The optimal power flows between the vehicle´s main subsystems are computed as solutions of a switching-system optimization (nonlinear programming problem) formulated at the supervisory level assuming a hierarchical vehicle control structure. The resulting equations are numerically solved using collocation methods. The approach is illustrated using the optimal and MPC tracking of a sawtooth velocity driving profile. Unlike other work, the assumption that there is always sufficient power to achieve perfect tracking is not made in this work.
Keywords :
hybrid electric vehicles; nonlinear programming; optimal control; predictive control; time-varying systems; tracking; HEV; hierarchical vehicle control structure; hybrid model predictive control tracking; hybrid optimal control; nonlinear programming problem; parallel hybrid electric vehicle; power management problem; switching-system optimization; Batteries; Couplings; Diesel engines; Energy management; Hybrid electric vehicles; Ice; Load flow; Optimal control; Predictive control; Predictive models; hybrid electric vehicles; hybrid model; power flow; power management; supervisory control; switching control;
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2008.4586617