INVESTIGADORES
DE ANGELO Cristian Hernan
congresos y reuniones científicas
Título:
Non-linear Optimal Control Applied to Energy Management in Hybrid Electric Vehicles
Autor/es:
LAURA V. PÉREZ; CRISTIAN H. DE ANGELO; VÍCTOR L. PEREYRA
Lugar:
Bahía Blanca
Reunión:
Congreso; III Congreso de Matemática Aplicada, Computacional e Industrial; 2011
Institución organizadora:
Asociación Argentina de Matemática Aplicada, Computacional e Industrial
Resumen:
To minimize fuel consumption in hybrid electric vehicles it is necessary to define which one of the energy sources must be used at each time. Under the assumption that the velocity required of the vehicle is known a priori, this problem may posed as a non linear optimal control problem with control and state constraints. We find the solution to this problem using the optimality conditions given by Pontryagin Maximum Principle. This approach leads to boundary value problems that we solve using a software tool named PASVA4. On real time operation, the velocity to be required of the vehicle is not known in advance. Then, we show how the adjoint state obtained from the former problem may be used as a weighting factor, called ”equivalent consumption”. This weighting factor may be used to design power management suboptimal real time algorithms.