Numerical optimal control as a method to evaluate the benefit of thermal management in hybrid electric vehicles
08 14 Category : Optimal control | All
Authors: D. Maamria , F. Chaplais N. Petit and A. Sciarretta, 19th World Congress of the International Federation of Automatic Control, pp. 4807-4812, August 24-29, 2014, Cape Town
In this paper, a numerical solution of the optimal thermal management problem for a parallel hybrid electric vehicle is presented by taking into account the engine temperature. This temperature influences the fuel consumption and has a dynamical behavior which is controlled by the engine torque. Simulation results are presented to evaluate the benefit of adding this new state variable to the optimization problem, by comparison to the simplified problem where only the State Of Charge (SOC) is taken into account.
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BibTeX
@Proceedings{,
author = {D. Maamria, F. Chaplais N. Petit and A. Sciarretta},
editor = {},
title = {Numerical optimal control as a method to evaluate the benefit of thermal management in hybrid electric vehicles},
booktitle = {19th World Congress of the International Federation of Automatic Control},
volume = {},
publisher = {},
address = {Cape Town},
pages = {4807-4812},
year = {2014},
abstract = {In this paper, a numerical solution of the optimal thermal management problem for a parallel hybrid electric vehicle is presented by taking into account the engine temperature. This temperature influences the fuel consumption and has a dynamical behavior which is controlled by the engine torque. Simulation results are presented to evaluate the benefit of adding this new state variable to the optimization problem, by comparison to the simplified problem where only the State Of Charge (SOC) is taken into account.},
keywords = {Energy management system, parallel hybrid electric vehicle, thermal management, Pontryagin’s Minimum Principle}}
In this paper, a numerical solution of the optimal thermal management problem for a parallel hybrid electric vehicle is presented by taking into account the engine temperature. This temperature influences the fuel consumption and has a dynamical behavior which is controlled by the engine torque. Simulation results are presented to evaluate the benefit of adding this new state variable to the optimization problem, by comparison to the simplified problem where only the State Of Charge (SOC) is taken into account.
Download PDF
BibTeX
@Proceedings{,
author = {D. Maamria, F. Chaplais N. Petit and A. Sciarretta},
editor = {},
title = {Numerical optimal control as a method to evaluate the benefit of thermal management in hybrid electric vehicles},
booktitle = {19th World Congress of the International Federation of Automatic Control},
volume = {},
publisher = {},
address = {Cape Town},
pages = {4807-4812},
year = {2014},
abstract = {In this paper, a numerical solution of the optimal thermal management problem for a parallel hybrid electric vehicle is presented by taking into account the engine temperature. This temperature influences the fuel consumption and has a dynamical behavior which is controlled by the engine torque. Simulation results are presented to evaluate the benefit of adding this new state variable to the optimization problem, by comparison to the simplified problem where only the State Of Charge (SOC) is taken into account.},
keywords = {Energy management system, parallel hybrid electric vehicle, thermal management, Pontryagin’s Minimum Principle}}