Paper Info
Title
Optimal power split in a hybrid electric vehicle using direct transcription of an optimal control problem
Abstract
To efficiently operate electromechanical systems powered by two energy sources, it is necessary to determine the instantaneous power split between sources in order to minimize the energy consumption of the whole system. In this work, this problem is posed as a nonlinear finite horizon optimal control problem with control and state constraints and is solved using a direct transcription approach. The problem is fully discretized in time and the resulting finite dimensional optimization problem is solved using a nonlinear programming code. This paper describes the application of direct transcription to the case of the hybrid electric vehicle (HEV) being developed in the Applied Electronics Group (GEA) at the University of Rio Cuarto. The statement and discretization of the control problem, the setting for using the nonlinear programming code and several examples and comparisons with those obtained by other approaches are described.
Year
DOI
Venue
2009
10.1016/j.matcom.2007.03.006
Mathematics and Computers in Simulation
Keywords
Field
DocType
hybrid electric vehicles,finite dimensional optimization problem,optimal control with constraints,direct transcription approach,hybrid electric vehicle,energy consumption,direct transcription,control problem,nonlinear finite horizon optimal,nonlinear programming code,applied electronics group,rio cuarto,optimal control problem,optimal power split,nonlinear programming,energy source,optimization problem,optimal control
Discretization,Mathematical optimization,Optimal control,Nonlinear system,Electric vehicle,Control theory,Nonlinear programming,Energy source,Energy consumption,Optimization problem,Mathematics
Journal
Volume
Issue
ISSN
79
6
Mathematics and Computers in Simulation
Citations 
PageRank 
References 
12
0.91
10
Authors
2
Name
Order
Citations
PageRank
Laura V. Pérez1514.79
Elvio A. Pilotta2534.26