Conference Proceeding

Predictive energy management of hybrid vehicle

LAMIH, Univ. de Valenciennes et du Hainaut Cambresis, Valenciennes
10/2008; DOI:10.1109/VPPC.2008.4677724 pp.1 - 6 In proceeding of: Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE
Source: IEEE Xplore

ABSTRACT Hybrid vehicles use two energy sources for their propelling. Usually an internal combustion engine (ICE) is used with one or more electric machine(s) (EM). The problem is then to split the driver power demand between the ICE and the EM in order to minimize a criterion, usually the fuel consumption. A global optimization algorithm based on optimal control theory is recalled. The obtained results are optimal but can only be obtained in simulation. For real time control purpose, this optimization algorithm is applied on a receding horizon. The main problem is then to choose the variables to be predicted on this horizon. By analyzing the optimization algorithm, it is shown that the prediction of the future driving conditions (vehicle speed and driver torque demand) is not necessary. Therefore, under some assumptions, a real time control is possible.

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Keywords

assumptions
 
conditions
 
driver power demand
 
driver torque demand
 
electric machine(s)
 
fuel consumption
 
global optimization algorithm
 
internal combustion engine
 
optimal control theory
 
optimization algorithm
 
real time control
 
real time control purpose
 
receding horizon
 
simulation