The CO2 emissions from cars is an increasingly worrying issue and this is why industries are looking for a solution in order to minimize the emissions and reduce the negative environmental impacts. Toyota developed a model in Simulink of an L4 engine, in order to simulate a control solution capable of minimizing the CO2 emissions. In this article, a linear quadratic integral (LQI) control is designed based on the identification of the model that was given by Toyota. In the identification validation, a 73% of similitude is obtained. Moreover, the proposed LQI is able to reduce the fuel consumption in 9.9% of the original data.

Design of an optimal control to reduce CO2 emissions in an engine

Diaz C.;Ruiz Fredy;
2018-01-01

Abstract

The CO2 emissions from cars is an increasingly worrying issue and this is why industries are looking for a solution in order to minimize the emissions and reduce the negative environmental impacts. Toyota developed a model in Simulink of an L4 engine, in order to simulate a control solution capable of minimizing the CO2 emissions. In this article, a linear quadratic integral (LQI) control is designed based on the identification of the model that was given by Toyota. In the identification validation, a 73% of similitude is obtained. Moreover, the proposed LQI is able to reduce the fuel consumption in 9.9% of the original data.
2018
2017 IEEE 3rd Colombian Conference on Automatic Control (CCAC)
identification
L4 Engine
Linear quadratic integral control
Optimization
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1164473
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