Stability Control of Front and Rear Wheel Independent Drive Type Electric Vehicle on Roads with Low Friction Coefficient
In recent years, the development of electric vehicles has accelerated. In this manuscript, a new control method is proposed to maintain the stability of the front and rear wheel independent drive type electric vehicle (FRID EV) on the roads with a low friction coefficient. This control method specif...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Isfahan
2023-06-01
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| Series: | هوش محاسباتی در مهندسی برق |
| Subjects: | |
| Online Access: | https://isee.ui.ac.ir/article_26954_33de880aca42ca379982b727fc7d6771.pdf |
| _version_ | 1797672427566661632 |
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| author | Saheb Khanabdal Mohammad Bagher Bannae Sharifian Mehran Sabahi |
| author_facet | Saheb Khanabdal Mohammad Bagher Bannae Sharifian Mehran Sabahi |
| author_sort | Saheb Khanabdal |
| collection | DOAJ |
| description | In recent years, the development of electric vehicles has accelerated. In this manuscript, a new control method is proposed to maintain the stability of the front and rear wheel independent drive type electric vehicle (FRID EV) on the roads with a low friction coefficient. This control method specifies an optimized bound proportionally to the state of the road’s surface for the torque values produced by the front and rear electric motors to prevent the vehicle from slipping. In addition, a fuzzy logic-based braking system is proposed to improve the vehicle performance during decelerating. The vehicle is described by the model with three degrees of freedom that provides good accuracy. The tires are modeled based on the magic formula. To evaluate the effectiveness of the proposed method, simulations have been carried out in MATLAB/SIMULINK software environment. The results show that the proposed control method can well maintain the stability of the electric vehicle on dry and slippery roads, during moving straight, accelerating or decelerating, as well as turning. As a result, the vehicle is prevented from slipping and locking the wheels. |
| first_indexed | 2024-03-11T21:29:54Z |
| format | Article |
| id | doaj.art-697cc145fb5d49da86eb05fbe7fe2010 |
| institution | Directory Open Access Journal |
| issn | 2821-0689 |
| language | English |
| last_indexed | 2024-03-11T21:29:54Z |
| publishDate | 2023-06-01 |
| publisher | University of Isfahan |
| record_format | Article |
| series | هوش محاسباتی در مهندسی برق |
| spelling | doaj.art-697cc145fb5d49da86eb05fbe7fe20102023-09-27T11:06:49ZengUniversity of Isfahanهوش محاسباتی در مهندسی برق2821-06892023-06-01142314610.22108/isee.2022.127665.145726954Stability Control of Front and Rear Wheel Independent Drive Type Electric Vehicle on Roads with Low Friction CoefficientSaheb Khanabdal0Mohammad Bagher Bannae Sharifian1Mehran Sabahi2Master Graduate, Dept. of Electrical Engineering, Faculty of Electrical & Computer Engineering, University of Tabriz, Tabriz, IranProfessor, Dept. of Electrical Engineering, Faculty of Electrical & Computer Engineering, University of Tabriz, Tabriz, IranAssociate Professor, Dept. of Electrical Engineering, Faculty of Electrical & Computer Engineering, University of Tabriz, Tabriz, IranIn recent years, the development of electric vehicles has accelerated. In this manuscript, a new control method is proposed to maintain the stability of the front and rear wheel independent drive type electric vehicle (FRID EV) on the roads with a low friction coefficient. This control method specifies an optimized bound proportionally to the state of the road’s surface for the torque values produced by the front and rear electric motors to prevent the vehicle from slipping. In addition, a fuzzy logic-based braking system is proposed to improve the vehicle performance during decelerating. The vehicle is described by the model with three degrees of freedom that provides good accuracy. The tires are modeled based on the magic formula. To evaluate the effectiveness of the proposed method, simulations have been carried out in MATLAB/SIMULINK software environment. The results show that the proposed control method can well maintain the stability of the electric vehicle on dry and slippery roads, during moving straight, accelerating or decelerating, as well as turning. As a result, the vehicle is prevented from slipping and locking the wheels.https://isee.ui.ac.ir/article_26954_33de880aca42ca379982b727fc7d6771.pdfelectric vehiclefuzzy logicregenerative brakingstability control |
| spellingShingle | Saheb Khanabdal Mohammad Bagher Bannae Sharifian Mehran Sabahi Stability Control of Front and Rear Wheel Independent Drive Type Electric Vehicle on Roads with Low Friction Coefficient هوش محاسباتی در مهندسی برق electric vehicle fuzzy logic regenerative braking stability control |
| title | Stability Control of Front and Rear Wheel Independent Drive Type Electric Vehicle on Roads with Low Friction Coefficient |
| title_full | Stability Control of Front and Rear Wheel Independent Drive Type Electric Vehicle on Roads with Low Friction Coefficient |
| title_fullStr | Stability Control of Front and Rear Wheel Independent Drive Type Electric Vehicle on Roads with Low Friction Coefficient |
| title_full_unstemmed | Stability Control of Front and Rear Wheel Independent Drive Type Electric Vehicle on Roads with Low Friction Coefficient |
| title_short | Stability Control of Front and Rear Wheel Independent Drive Type Electric Vehicle on Roads with Low Friction Coefficient |
| title_sort | stability control of front and rear wheel independent drive type electric vehicle on roads with low friction coefficient |
| topic | electric vehicle fuzzy logic regenerative braking stability control |
| url | https://isee.ui.ac.ir/article_26954_33de880aca42ca379982b727fc7d6771.pdf |
| work_keys_str_mv | AT sahebkhanabdal stabilitycontroloffrontandrearwheelindependentdrivetypeelectricvehicleonroadswithlowfrictioncoefficient AT mohammadbagherbannaesharifian stabilitycontroloffrontandrearwheelindependentdrivetypeelectricvehicleonroadswithlowfrictioncoefficient AT mehransabahi stabilitycontroloffrontandrearwheelindependentdrivetypeelectricvehicleonroadswithlowfrictioncoefficient |