Title :
A LPV EMS regulator for the parallel HEV with battery life prolongation
Author :
Tinghong Wang ; Sename, O. ; Martinez-molina, John-jairo
Author_Institution :
Control Syst. Dept., Grenoble INP, St. Martin d´Hères, France
Abstract :
This paper is concerned with the design of a discrete-time linear parameter varying (LPV) regulator for a parallel hybrid electric vehicle (PHEV) based on an already exist optimal energy management strategy (EMS). The aim is to determine the regulating quantity of battery current and the power split ratio between engine and battery with respect to the achieved optimal ones by the exist optimal EMS, according to the driving cycle variation and battery capacity degradation. The system is modelled under linear fractional transformation (LFT) form with varying velocity and battery capacity represented as an uncertainty blocks. The discrete-time linear parameter varying (LPV) regulator which is scheduled by the varying parameters is synthesized using the approach proposed in [1]. The battery state of charge (SOC) estimation method based on the Kalman Filter and the battery capacity estimation method based on the Least Mean Square (LMS) are also given.
Keywords :
Kalman filters; battery powered vehicles; control system synthesis; discrete time systems; hybrid electric vehicles; least mean squares methods; linear systems; Kalman filter; LFT; LMS; LPV EMS regulator; PHEV; SOC; battery capacity; battery capacity degradation; battery capacity estimation method; battery life prolongation; discrete-time linear parameter varying regulator design; driving cycle variation; least mean square; linear fractional transformation form; optimal energy management strategy; parallel HEV; parallel hybrid electric vehicle; power split ratio; state of charge estimation method; Batteries; Energy management; Engines; Integrated circuit modeling; Mathematical model; System-on-chip; Vehicles; Energy management strategy; Hybrid electric vehicle; Linear parameter varying regulator; battery capacity estimation;
Conference_Titel :
Control & Automation (MED), 2013 21st Mediterranean Conference on
Conference_Location :
Chania
Print_ISBN :
978-1-4799-0995-7
DOI :
10.1109/MED.2013.6608767