Title :
Predictive control for HEV energy management: experimental results
Author :
Kermani, S. ; Delprat, S. ; Guerra, T.M. ; Trigui, Rochdi
Author_Institution :
Univ Lille Nord de France, Lille, France
Abstract :
The control strategies of hybrid electric vehicles (HEV) consist of determining an optimal power split between different energy sources. The objective is to improve fuel economy and reduce pollutant emissions of the vehicle. In this paper a global optimization algorithm based on Lagrange formalism is recalled. This algorithm is then embedded within a Predictive Model Control scheme. Experimental results are presented.
Keywords :
energy management systems; hybrid electric vehicles; optimal control; predictive control; energy management; fuel economy; hybrid electric vehicles; optimal control; pollutant emission reduction; predictive model control; Diesel engines; Electric machines; Energy management; Hybrid electric vehicles; Lagrangian functions; Optimal control; Pollution; Predictive control; Predictive models; Vehicle safety; control strategies; hybrid vehicle; optimal control; predictive control;
Conference_Titel :
Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
978-1-4244-2600-3
Electronic_ISBN :
978-1-4244-2601-0
DOI :
10.1109/VPPC.2009.5289827
