A comprehensive review on intelligent torque vectoring control for electric vehicle
Vehicle dynamic control (VDC) is an important study where the vehicle performance, handling, stability, and statistics of the vehicle can be recorded to improve performance. Torque vectoring controller (TVC) a form of VDC is used to improve vehicle handling and driving in extreme situations by corre...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2025-09-01
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| Series: | Energy Exploration & Exploitation |
| Online Access: | https://doi.org/10.1177/01445987251328181 |
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| author | F Vanlalhriatpuia Ksh Robert Singh Amarendra Matsa Subir Datta Md. Minarul Islam Taha Selim Ustun |
| author_facet | F Vanlalhriatpuia Ksh Robert Singh Amarendra Matsa Subir Datta Md. Minarul Islam Taha Selim Ustun |
| author_sort | F Vanlalhriatpuia |
| collection | DOAJ |
| description | Vehicle dynamic control (VDC) is an important study where the vehicle performance, handling, stability, and statistics of the vehicle can be recorded to improve performance. Torque vectoring controller (TVC) a form of VDC is used to improve vehicle handling and driving in extreme situations by correcting oversteer and understeer conditions, this TVC is used in EV to reduce the consumption of the battery by reducing the general energy use. In TVC, it is broadly classified to classical and intelligent methods where classical methods used a two-stage optimization method via a high and low level controller while intelligent torque vectoring controller (ITVC) methods uses artificial intelligence (AI) based methods like soft computing, machine learning and other AI methods to enhance vehicle performance and efficiency. Each ITVC is reviewed where the advantages, disadvantages and applications of each controller is compared. The study also shows the timeline of ITVC development showing every existing ITVC method being conducted, it also shows the complexity, vehicle stability, braking performance, lateral stability, mechanical energy consumption and energy conversation between the different ITVC methods. |
| format | Article |
| id | doaj-art-968536ebfb704e608f04495a8d5fd905 |
| institution | DOAJ |
| issn | 0144-5987 2048-4054 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Energy Exploration & Exploitation |
| spelling | doaj-art-968536ebfb704e608f04495a8d5fd9052025-08-20T02:50:53ZengSAGE PublishingEnergy Exploration & Exploitation0144-59872048-40542025-09-014310.1177/01445987251328181A comprehensive review on intelligent torque vectoring control for electric vehicleF Vanlalhriatpuia0Ksh Robert Singh1Amarendra Matsa2Subir Datta3Md. Minarul Islam4Taha Selim Ustun5 Department of Electrical Engineering, , Mizoram, India Department of Electrical Engineering, , Mizoram, India Department of Electrical Engineering, , Kadaganchi, India Department of Electrical Engineering, , Mizoram, India Department of Electrical and Electronic Engineering, , Dhaka, Bangladesh , Koriyama, JapanVehicle dynamic control (VDC) is an important study where the vehicle performance, handling, stability, and statistics of the vehicle can be recorded to improve performance. Torque vectoring controller (TVC) a form of VDC is used to improve vehicle handling and driving in extreme situations by correcting oversteer and understeer conditions, this TVC is used in EV to reduce the consumption of the battery by reducing the general energy use. In TVC, it is broadly classified to classical and intelligent methods where classical methods used a two-stage optimization method via a high and low level controller while intelligent torque vectoring controller (ITVC) methods uses artificial intelligence (AI) based methods like soft computing, machine learning and other AI methods to enhance vehicle performance and efficiency. Each ITVC is reviewed where the advantages, disadvantages and applications of each controller is compared. The study also shows the timeline of ITVC development showing every existing ITVC method being conducted, it also shows the complexity, vehicle stability, braking performance, lateral stability, mechanical energy consumption and energy conversation between the different ITVC methods.https://doi.org/10.1177/01445987251328181 |
| spellingShingle | F Vanlalhriatpuia Ksh Robert Singh Amarendra Matsa Subir Datta Md. Minarul Islam Taha Selim Ustun A comprehensive review on intelligent torque vectoring control for electric vehicle Energy Exploration & Exploitation |
| title | A comprehensive review on intelligent torque vectoring control for electric vehicle |
| title_full | A comprehensive review on intelligent torque vectoring control for electric vehicle |
| title_fullStr | A comprehensive review on intelligent torque vectoring control for electric vehicle |
| title_full_unstemmed | A comprehensive review on intelligent torque vectoring control for electric vehicle |
| title_short | A comprehensive review on intelligent torque vectoring control for electric vehicle |
| title_sort | comprehensive review on intelligent torque vectoring control for electric vehicle |
| url | https://doi.org/10.1177/01445987251328181 |
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