Title :
A Linear Quadratic Integrator Approach for a Hydrogen Genset Control
Author :
Kere, Lamoussa Jacques ; Kelouwani, Sousso ; Agbossou, Kodjo ; Dube, Yves
Author_Institution :
Dept. of Electr. Eng., Univ. du Quebec a Trois-Rivieres, Trois-Rivieres, QC, Canada
Abstract :
This paper presents a Linear Quadratic with Integrator (LQI) controller for a hydrogen genset (internal-combustion combustion engine generator) which is used to extend electric vehicle range. Since the genset efficiency depends mostly on generator rotor speed and produced power, a maximum efficiency tracking method is required. The optimal operating conditions provided by the efficiency tracking module must be imposed to the genset. Thus, we proposed a LQI controller for dynamically driving genset operating conditions toward the optimal one. This controller is based on a state space model in which the genset parameters are identified offline using the Least-Square (RLS) algorithm. Preliminary evaluation using real genset data with this type of controller demonstrated the effectiveness of the proposed approach.
Keywords :
electric vehicles; hydroelectric generators; hydrogen; internal combustion engines; least squares approximations; linear quadratic control; machine control; rotors; state-space methods; LQI controller; combustion engine generator; electric vehicle range; generator rotor speed; hydrogen genset control; internal-combustion; least-square algorithm; linear quadratic integrator approach; maximum efficiency tracking method; optimal operating conditions; state space model; Batteries; Engines; Equations; Hydrogen; Mathematical model; Production; Vehicles;
Conference_Titel :
Vehicle Power and Propulsion Conference (VPPC), 2014 IEEE
Conference_Location :
Coimbra
DOI :
10.1109/VPPC.2014.7006999