Electric Vehicle Longitudinal Stability Control Based on a New Multimachine Nonlinear Model Predictive Direct Torque Control
In order to improve the driving performance and the stability of electric vehicles (EVs), a new multimachine robust control, which realizes the acceleration slip regulation (ASR) and antilock braking system (ABS) functions, based on nonlinear model predictive (NMP) direct torque control (DTC), is pr...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2017/4125384 |
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| _version_ | 1832559273551331328 |
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| author | M’hamed Sekour Kada Hartani Abdelkader Merah |
| author_facet | M’hamed Sekour Kada Hartani Abdelkader Merah |
| author_sort | M’hamed Sekour |
| collection | DOAJ |
| description | In order to improve the driving performance and the stability of electric vehicles (EVs), a new multimachine robust control, which realizes the acceleration slip regulation (ASR) and antilock braking system (ABS) functions, based on nonlinear model predictive (NMP) direct torque control (DTC), is proposed for four permanent magnet synchronous in-wheel motors. The in-wheel motor provides more possibilities of wheel control. One of its advantages is that it has low response time and almost instantaneous torque generation. Moreover, it can be independently controlled, enhancing the limits of vehicular control. For an EV equipped with four in-wheel electric motors, an advanced control may be envisaged. Taking advantage of the fast and accurate torque of in-wheel electric motors which is directly transmitted to the wheels, a new approach for longitudinal control realized by ASR and ABS is presented in this paper. In order to achieve a high-performance torque control for EVs, the NMP-DTC strategy is proposed. It uses the fuzzy logic control technique that determines online the accurate values of the weighting factors and generates the optimal switching states that optimize the EV drives’ decision. The simulation results built in Matlab/Simulink indicate that the EV can achieve high-performance vehicle longitudinal stability control. |
| format | Article |
| id | doaj-art-4c576601d7304e21b69946a47dba71dc |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-4c576601d7304e21b69946a47dba71dc2025-02-03T01:30:28ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/41253844125384Electric Vehicle Longitudinal Stability Control Based on a New Multimachine Nonlinear Model Predictive Direct Torque ControlM’hamed Sekour0Kada Hartani1Abdelkader Merah2Electrotechnical Engineering Laboratory, Tahar Moulay University, Saida, AlgeriaElectrotechnical Engineering Laboratory, Tahar Moulay University, Saida, AlgeriaElectrotechnical Engineering Laboratory, Tahar Moulay University, Saida, AlgeriaIn order to improve the driving performance and the stability of electric vehicles (EVs), a new multimachine robust control, which realizes the acceleration slip regulation (ASR) and antilock braking system (ABS) functions, based on nonlinear model predictive (NMP) direct torque control (DTC), is proposed for four permanent magnet synchronous in-wheel motors. The in-wheel motor provides more possibilities of wheel control. One of its advantages is that it has low response time and almost instantaneous torque generation. Moreover, it can be independently controlled, enhancing the limits of vehicular control. For an EV equipped with four in-wheel electric motors, an advanced control may be envisaged. Taking advantage of the fast and accurate torque of in-wheel electric motors which is directly transmitted to the wheels, a new approach for longitudinal control realized by ASR and ABS is presented in this paper. In order to achieve a high-performance torque control for EVs, the NMP-DTC strategy is proposed. It uses the fuzzy logic control technique that determines online the accurate values of the weighting factors and generates the optimal switching states that optimize the EV drives’ decision. The simulation results built in Matlab/Simulink indicate that the EV can achieve high-performance vehicle longitudinal stability control.http://dx.doi.org/10.1155/2017/4125384 |
| spellingShingle | M’hamed Sekour Kada Hartani Abdelkader Merah Electric Vehicle Longitudinal Stability Control Based on a New Multimachine Nonlinear Model Predictive Direct Torque Control Journal of Advanced Transportation |
| title | Electric Vehicle Longitudinal Stability Control Based on a New Multimachine Nonlinear Model Predictive Direct Torque Control |
| title_full | Electric Vehicle Longitudinal Stability Control Based on a New Multimachine Nonlinear Model Predictive Direct Torque Control |
| title_fullStr | Electric Vehicle Longitudinal Stability Control Based on a New Multimachine Nonlinear Model Predictive Direct Torque Control |
| title_full_unstemmed | Electric Vehicle Longitudinal Stability Control Based on a New Multimachine Nonlinear Model Predictive Direct Torque Control |
| title_short | Electric Vehicle Longitudinal Stability Control Based on a New Multimachine Nonlinear Model Predictive Direct Torque Control |
| title_sort | electric vehicle longitudinal stability control based on a new multimachine nonlinear model predictive direct torque control |
| url | http://dx.doi.org/10.1155/2017/4125384 |
| work_keys_str_mv | AT mhamedsekour electricvehiclelongitudinalstabilitycontrolbasedonanewmultimachinenonlinearmodelpredictivedirecttorquecontrol AT kadahartani electricvehiclelongitudinalstabilitycontrolbasedonanewmultimachinenonlinearmodelpredictivedirecttorquecontrol AT abdelkadermerah electricvehiclelongitudinalstabilitycontrolbasedonanewmultimachinenonlinearmodelpredictivedirecttorquecontrol |