Optimal power split in a hybrid electric vehicle using direct transcription of an optimal control problem

LAURA V. PÉREZ; ELVIO A. PILOTTA

MATHEMATICS AND COMPUTERS IN SIMULATION

Elsevier

Lugar: North-Holland; Año: 2009 vol. 79 p. 1959 - 1970

0378-4754

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 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 otherapproaches are described.