Hybrid Vehicle CO<sub>2</sub> Emissions Reduction Strategy Based on Model Predictive Control
This work proposes a hybrid drive controlled configuration, using a minimum emissions search algorithm, which ensures the operation of the Internal Combustion Engine (ICE) in its fuel efficiency range, minimizing CO<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" d...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/6/1474 |
| _version_ | 1797612184073666560 |
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| author | Carlos A. Reusser Ramón Herrera Hernández Tek Tjing Lie |
| author_facet | Carlos A. Reusser Ramón Herrera Hernández Tek Tjing Lie |
| author_sort | Carlos A. Reusser |
| collection | DOAJ |
| description | This work proposes a hybrid drive controlled configuration, using a minimum emissions search algorithm, which ensures the operation of the Internal Combustion Engine (ICE) in its fuel efficiency range, minimizing CO<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> emissions by controlling the power flow direction of the Electric Machine (EM). This action is achieved by means of Power Converters, in this case a bi-directional DC-DC Buck-Boost Converter in the DC-side and a DC-AC T-type Converter as the inverting stage. Power flow is controlled by means of a bi-directional Model Predictive Control (MPC) scheme, based on an emissions optimization algorithm. A novel drivetrain configuration is presented where both, the ICE and the EM are in tandem arrangement. The EM is driven depending on the traction requirements and the emissions of the ICE. The EM is capable of operates in motor and generator mode ensuring the Minimum Emission Operating Point (MEOP) of the ICE regardless of the mechanical demand at the drivetrain. Simulation and validation results using a Hardware in the Loop (HIL) virtual prototype under different operation conditions are presented in order to validate the proposed overall optimization strategy. |
| first_indexed | 2024-03-11T06:37:44Z |
| format | Article |
| id | doaj.art-54a169d5c93b4a98ba2aa283bae96edb |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T06:37:44Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-54a169d5c93b4a98ba2aa283bae96edb2023-11-17T10:46:02ZengMDPI AGElectronics2079-92922023-03-01126147410.3390/electronics12061474Hybrid Vehicle CO<sub>2</sub> Emissions Reduction Strategy Based on Model Predictive ControlCarlos A. Reusser0Ramón Herrera Hernández1Tek Tjing Lie2School of Electrical Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, ChileSchool of Electrical Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, ChileSchool of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland CBD, Auckland 1010, New ZealandThis work proposes a hybrid drive controlled configuration, using a minimum emissions search algorithm, which ensures the operation of the Internal Combustion Engine (ICE) in its fuel efficiency range, minimizing CO<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> emissions by controlling the power flow direction of the Electric Machine (EM). This action is achieved by means of Power Converters, in this case a bi-directional DC-DC Buck-Boost Converter in the DC-side and a DC-AC T-type Converter as the inverting stage. Power flow is controlled by means of a bi-directional Model Predictive Control (MPC) scheme, based on an emissions optimization algorithm. A novel drivetrain configuration is presented where both, the ICE and the EM are in tandem arrangement. The EM is driven depending on the traction requirements and the emissions of the ICE. The EM is capable of operates in motor and generator mode ensuring the Minimum Emission Operating Point (MEOP) of the ICE regardless of the mechanical demand at the drivetrain. Simulation and validation results using a Hardware in the Loop (HIL) virtual prototype under different operation conditions are presented in order to validate the proposed overall optimization strategy.https://www.mdpi.com/2079-9292/12/6/1474emissionsfuel efficiencymodel predictive controlminimum emissions operating point algorithmdc-link balance mechanismT-type |
| spellingShingle | Carlos A. Reusser Ramón Herrera Hernández Tek Tjing Lie Hybrid Vehicle CO<sub>2</sub> Emissions Reduction Strategy Based on Model Predictive Control Electronics emissions fuel efficiency model predictive control minimum emissions operating point algorithm dc-link balance mechanism T-type |
| title | Hybrid Vehicle CO<sub>2</sub> Emissions Reduction Strategy Based on Model Predictive Control |
| title_full | Hybrid Vehicle CO<sub>2</sub> Emissions Reduction Strategy Based on Model Predictive Control |
| title_fullStr | Hybrid Vehicle CO<sub>2</sub> Emissions Reduction Strategy Based on Model Predictive Control |
| title_full_unstemmed | Hybrid Vehicle CO<sub>2</sub> Emissions Reduction Strategy Based on Model Predictive Control |
| title_short | Hybrid Vehicle CO<sub>2</sub> Emissions Reduction Strategy Based on Model Predictive Control |
| title_sort | hybrid vehicle co sub 2 sub emissions reduction strategy based on model predictive control |
| topic | emissions fuel efficiency model predictive control minimum emissions operating point algorithm dc-link balance mechanism T-type |
| url | https://www.mdpi.com/2079-9292/12/6/1474 |
| work_keys_str_mv | AT carlosareusser hybridvehiclecosub2subemissionsreductionstrategybasedonmodelpredictivecontrol AT ramonherrerahernandez hybridvehiclecosub2subemissionsreductionstrategybasedonmodelpredictivecontrol AT tektjinglie hybridvehiclecosub2subemissionsreductionstrategybasedonmodelpredictivecontrol |