On the impact of model simplification in input constrained optimal control: application to HEV energy-thermal management
12 14 Category : Optimal control | All
Authors: D. Maamria, F. Chaplais, N. Petit, A. Sciarretta, 53rd IEEE Conference on Decision and Control (CDC), pp. 2529-2535, December 15 2014, Los Angeles
In this paper, we propose a result allowing to simplify the statement of input constrained optimal control problems. In details, it is shown that perturbation terms of magnitude ε appearing in the dynamics and the cost function can be neglected, because they only yield an improvement of magnitude ε2 in the optimal cost. This result, which is is handy for practical applications, is here proven by means of an interior penalty method to deal with input constraints. For illustration, an example of energy management system for a Hybrid Electric Vehicle (HEV) is treated. As is expected, the complexity of the problem can be reduced at very little expense of sub-optimality. Based on simulations, quantitative results in term of fuel consumption are provided.
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BibTeX
@Proceedings{,
author = {D. Maamria, F. Chaplais, N. Petit, A. Sciarretta},
editor = {},
title = {On the impact of model simplification in input constrained optimal control: application to HEV energy-thermal management},
booktitle = {53rd IEEE Conference on Decision and Control (CDC)},
volume = {},
publisher = {},
address = {Los Angeles},
pages = {2529-2535},
year = {2014},
abstract = {In this paper, we propose a result allowing to simplify the statement of input constrained optimal control problems. In details, it is shown that perturbation terms of magnitude ε appearing in the dynamics and the cost function can be neglected, because they only yield an improvement of magnitude ε2 in the optimal cost. This result, which is is handy for practical applications, is here proven by means of an interior penalty method to deal with input constraints. For illustration, an example of energy management system for a Hybrid Electric Vehicle (HEV) is treated. As is expected, the complexity of the problem can be reduced at very little expense of sub-optimality. Based on simulations, quantitative results in term of fuel consumption are provided.},
keywords = {}}
In this paper, we propose a result allowing to simplify the statement of input constrained optimal control problems. In details, it is shown that perturbation terms of magnitude ε appearing in the dynamics and the cost function can be neglected, because they only yield an improvement of magnitude ε2 in the optimal cost. This result, which is is handy for practical applications, is here proven by means of an interior penalty method to deal with input constraints. For illustration, an example of energy management system for a Hybrid Electric Vehicle (HEV) is treated. As is expected, the complexity of the problem can be reduced at very little expense of sub-optimality. Based on simulations, quantitative results in term of fuel consumption are provided.
Download PDF
BibTeX
@Proceedings{,
author = {D. Maamria, F. Chaplais, N. Petit, A. Sciarretta},
editor = {},
title = {On the impact of model simplification in input constrained optimal control: application to HEV energy-thermal management},
booktitle = {53rd IEEE Conference on Decision and Control (CDC)},
volume = {},
publisher = {},
address = {Los Angeles},
pages = {2529-2535},
year = {2014},
abstract = {In this paper, we propose a result allowing to simplify the statement of input constrained optimal control problems. In details, it is shown that perturbation terms of magnitude ε appearing in the dynamics and the cost function can be neglected, because they only yield an improvement of magnitude ε2 in the optimal cost. This result, which is is handy for practical applications, is here proven by means of an interior penalty method to deal with input constraints. For illustration, an example of energy management system for a Hybrid Electric Vehicle (HEV) is treated. As is expected, the complexity of the problem can be reduced at very little expense of sub-optimality. Based on simulations, quantitative results in term of fuel consumption are provided.},
keywords = {}}