Model Predictive Control Dedicated to an Electrified Auxiliary in HEV/PHEV
Auxiliary electrification in Hybrid Electric Vehicle (HEV) and Plug-in Hybrid Electric Vehicle (PHEV) represents a promising solution in energy management of vehicle. The work presented in the following paper focuses on the design of a controller able to reduce the electrical energy consumption of e...
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Published in | Applied Mechanics and Materials Vol. 532; no. Mechatronics and Applied Mechanics III; pp. 50 - 57 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
01.02.2014
Trans Tech Publications |
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Abstract | Auxiliary electrification in Hybrid Electric Vehicle (HEV) and Plug-in Hybrid Electric Vehicle (PHEV) represents a promising solution in energy management of vehicle. The work presented in the following paper focuses on the design of a controller able to reduce the electrical energy consumption of electrified auxiliaries during a driving cycle. A Model Predictive Control (MPC) is proposed and applied to the air supply system of a PHEV. A comparison of energy consumption between this method and two others (Hysteresis Control and Dynamic Programming) is carried out in order to verify the performance of the MPC controller. Numerical simulations show that this technique allows to obtain a significant gain on energy consumption compared to a standard Hysteresis Control. Furthermore, the difference in term of energy consumption between MPC and Dynamic Programming is weak. |
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AbstractList | Auxiliary electrification in Hybrid Electric Vehicle (HEV) and Plug-in Hybrid Electric Vehicle (PHEV) represents a promising solution in energy management of vehicle. The work presented in the following paper focuses on the design of a controller able to reduce the electrical energy consumption of electrified auxiliaries during a driving cycle. A Model Predictive Control (MPC) is proposed and applied to the air supply system of a PHEV. A comparison of energy consumption between this method and two others (Hysteresis Control and Dynamic Programming) is carried out in order to verify the performance of the MPC controller. Numerical simulations show that this technique allows to obtain a significant gain on energy consumption compared to a standard Hysteresis Control. Furthermore, the difference in term of energy consumption between MPC and Dynamic Programming is weak. |
Author | le Brusq, Philippe Nguyen, Khoa Duc Pham, Minh Tu Bideaux, Eric |
Author_xml | – givenname: Eric surname: Bideaux fullname: Bideaux, Eric email: eric.bideaux@insa-lyon.fr organization: Université de Lyon : Laboratory AMPERE, UMR CNRS 5005, INSA de Lyon – givenname: Khoa Duc surname: Nguyen fullname: Nguyen, Khoa Duc email: khoa-duc.nguyen@insa-lyon.fr organization: Université de Lyon : Laboratory AMPERE, UMR CNRS 5005, INSA de Lyon – givenname: Philippe surname: le Brusq fullname: le Brusq, Philippe email: philippe.le.brusq@volvo.com organization: Volvo Group : Group Trucks Technology – givenname: Minh Tu surname: Pham fullname: Pham, Minh Tu email: minh-tu.pham@insa-lyon.fr organization: Université de Lyon : Laboratory AMPERE, UMR CNRS 5005, INSA de Lyon |
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Copyright | 2014 Trans Tech Publications Ltd Copyright Trans Tech Publications Ltd. Feb 2014 Distributed under a Creative Commons Attribution 4.0 International License |
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SubjectTerms | Automatic Controllers Dynamic programming Dynamical systems Electric power Energy consumption Engineering Sciences Hybrid vehicles Hysteresis Mathematical models Predictive control |
Title | Model Predictive Control Dedicated to an Electrified Auxiliary in HEV/PHEV |
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