Hierarchical predictive optimal control for range extension of EV with ANN based torque control for IPMSM drives
This study presents a novel methodology to enhance the energy efficiency of Electric Vehicles (EVs) while maintaining dynamic stability and driving comfort, even on uneven roads, using onboard vehicle measurements. The approach involves a hierarchical control scheme that integrates a model predictiv...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671124003528 |
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| author | Lekshmi S Lal Priya P S |
| author_facet | Lekshmi S Lal Priya P S |
| author_sort | Lekshmi S |
| collection | DOAJ |
| description | This study presents a novel methodology to enhance the energy efficiency of Electric Vehicles (EVs) while maintaining dynamic stability and driving comfort, even on uneven roads, using onboard vehicle measurements. The approach involves a hierarchical control scheme that integrates a model predictive controller with a torque vectoring algorithm to optimize torque demand and accurately anticipate road-specific torque requirements. The proposed control is designed and implemented on an EV with Interior Permanent Magnet Synchronous Motors (IPMSM) on four wheel drives. The optimal torque control is realised through an Artificial Neural Network (ANN) - based motor torque control scheme. The design is validated through tests in real-world driving scenarios. In comparison with conventional methods, the proposed method shows a 37% increase in energy efficiency across different test conditions, thereby resulting in an increase in EV driving range. These advancements are realised without substantial modifications to the EV’s drivetrain, representing a significant step forward in sustainable and efficient electric mobility. |
| format | Article |
| id | doaj-art-499b36fca417476ebdc4cfd938713f19 |
| institution | OA Journals |
| issn | 2772-6711 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| spelling | doaj-art-499b36fca417476ebdc4cfd938713f192025-08-20T01:56:42ZengElseviere-Prime: Advances in Electrical Engineering, Electronics and Energy2772-67112024-12-011010077210.1016/j.prime.2024.100772Hierarchical predictive optimal control for range extension of EV with ANN based torque control for IPMSM drivesLekshmi S0Lal Priya P S1Corresponding author.; Dept. of Electrical Engineering, College of Engineering Trivandrum, APJ Abdul Kalam Technological University, Kerala, IndiaDept. of Electrical Engineering, College of Engineering Trivandrum, APJ Abdul Kalam Technological University, Kerala, IndiaThis study presents a novel methodology to enhance the energy efficiency of Electric Vehicles (EVs) while maintaining dynamic stability and driving comfort, even on uneven roads, using onboard vehicle measurements. The approach involves a hierarchical control scheme that integrates a model predictive controller with a torque vectoring algorithm to optimize torque demand and accurately anticipate road-specific torque requirements. The proposed control is designed and implemented on an EV with Interior Permanent Magnet Synchronous Motors (IPMSM) on four wheel drives. The optimal torque control is realised through an Artificial Neural Network (ANN) - based motor torque control scheme. The design is validated through tests in real-world driving scenarios. In comparison with conventional methods, the proposed method shows a 37% increase in energy efficiency across different test conditions, thereby resulting in an increase in EV driving range. These advancements are realised without substantial modifications to the EV’s drivetrain, representing a significant step forward in sustainable and efficient electric mobility.http://www.sciencedirect.com/science/article/pii/S2772671124003528Electric vehicleRange extensionEnergy efficiencyOptimal torque controlANN Torque control |
| spellingShingle | Lekshmi S Lal Priya P S Hierarchical predictive optimal control for range extension of EV with ANN based torque control for IPMSM drives e-Prime: Advances in Electrical Engineering, Electronics and Energy Electric vehicle Range extension Energy efficiency Optimal torque control ANN Torque control |
| title | Hierarchical predictive optimal control for range extension of EV with ANN based torque control for IPMSM drives |
| title_full | Hierarchical predictive optimal control for range extension of EV with ANN based torque control for IPMSM drives |
| title_fullStr | Hierarchical predictive optimal control for range extension of EV with ANN based torque control for IPMSM drives |
| title_full_unstemmed | Hierarchical predictive optimal control for range extension of EV with ANN based torque control for IPMSM drives |
| title_short | Hierarchical predictive optimal control for range extension of EV with ANN based torque control for IPMSM drives |
| title_sort | hierarchical predictive optimal control for range extension of ev with ann based torque control for ipmsm drives |
| topic | Electric vehicle Range extension Energy efficiency Optimal torque control ANN Torque control |
| url | http://www.sciencedirect.com/science/article/pii/S2772671124003528 |
| work_keys_str_mv | AT lekshmis hierarchicalpredictiveoptimalcontrolforrangeextensionofevwithannbasedtorquecontrolforipmsmdrives AT lalpriyaps hierarchicalpredictiveoptimalcontrolforrangeextensionofevwithannbasedtorquecontrolforipmsmdrives |