Conditioned Adaptive Barrier Function Based Integral Super-Twisting Sliding Mode Control for Electric Vehicles With Hybrid Energy Storage System
This paper proposes a conditioned adaptive barrier function-based integral super-twisting sliding mode controller for the hybrid energy storage system (HESS) with a field-oriented control of 3-phase induction motor for the electric vehicles (EVs). The conditioned approach ensures that the control in...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of Vehicular Technology |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10772067/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850112453435719680 |
|---|---|
| author | Afaq Ahmed Iftikhar Ahmad Habibur Rehman Ammar Hasan |
| author_facet | Afaq Ahmed Iftikhar Ahmad Habibur Rehman Ammar Hasan |
| author_sort | Afaq Ahmed |
| collection | DOAJ |
| description | This paper proposes a conditioned adaptive barrier function-based integral super-twisting sliding mode controller for the hybrid energy storage system (HESS) with a field-oriented control of 3-phase induction motor for the electric vehicles (EVs). The conditioned approach ensures that the control input stays within bounds, the adaptive barrier adjusts the sliding mode controller (SMC) gains, and the super-twisting technique helps in reducing the chattering. Consequently, the overall system performance is improved. The HESS consists of a fuel cell, battery, and super-capacitor. A rule-based energy management system has been designed, defining different modes of operation for an efficient use of energy sources under different loading conditions. The designed energy management system accounts for the power inflow and the status of the energy sources. The proposed controller ensures smooth energy sources current tracking and stabilizes the DC bus voltage while controlling the motor speed and flux under various operating conditions. The controller's global asymptotic stability has been verified through Lyapunov stability analysis. Intensive computer simulations using Matlab/Simulink are performed to validate the proposed controller's performance and compare it with the conventional PI and SMC controllers. Finally, controller hardware-in-the-loop validation has been conducted for the real-time performance validation. |
| format | Article |
| id | doaj-art-a6d81eb8450e4915b6914a3bf31bd516 |
| institution | OA Journals |
| issn | 2644-1330 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Vehicular Technology |
| spelling | doaj-art-a6d81eb8450e4915b6914a3bf31bd5162025-08-20T02:37:23ZengIEEEIEEE Open Journal of Vehicular Technology2644-13302025-01-0169210810.1109/OJVT.2024.350968610772067Conditioned Adaptive Barrier Function Based Integral Super-Twisting Sliding Mode Control for Electric Vehicles With Hybrid Energy Storage SystemAfaq Ahmed0https://orcid.org/0009-0006-3693-7577Iftikhar Ahmad1https://orcid.org/0000-0002-2197-9890Habibur Rehman2https://orcid.org/0000-0002-8251-654XAmmar Hasan3https://orcid.org/0000-0003-2755-8410School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, PakistanSchool of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, PakistanDepartment of Electrical Engineering, American University of Sharjah, Sharjah, UAEDepartment of Electrical Engineering, American University of Sharjah, Sharjah, UAEThis paper proposes a conditioned adaptive barrier function-based integral super-twisting sliding mode controller for the hybrid energy storage system (HESS) with a field-oriented control of 3-phase induction motor for the electric vehicles (EVs). The conditioned approach ensures that the control input stays within bounds, the adaptive barrier adjusts the sliding mode controller (SMC) gains, and the super-twisting technique helps in reducing the chattering. Consequently, the overall system performance is improved. The HESS consists of a fuel cell, battery, and super-capacitor. A rule-based energy management system has been designed, defining different modes of operation for an efficient use of energy sources under different loading conditions. The designed energy management system accounts for the power inflow and the status of the energy sources. The proposed controller ensures smooth energy sources current tracking and stabilizes the DC bus voltage while controlling the motor speed and flux under various operating conditions. The controller's global asymptotic stability has been verified through Lyapunov stability analysis. Intensive computer simulations using Matlab/Simulink are performed to validate the proposed controller's performance and compare it with the conventional PI and SMC controllers. Finally, controller hardware-in-the-loop validation has been conducted for the real-time performance validation.https://ieeexplore.ieee.org/document/10772067/Conditioned adaptive barrier sliding mode controlindirect field oriented controlelectric vehiclehybrid energy storage systeminduction motorenergy management system |
| spellingShingle | Afaq Ahmed Iftikhar Ahmad Habibur Rehman Ammar Hasan Conditioned Adaptive Barrier Function Based Integral Super-Twisting Sliding Mode Control for Electric Vehicles With Hybrid Energy Storage System IEEE Open Journal of Vehicular Technology Conditioned adaptive barrier sliding mode control indirect field oriented control electric vehicle hybrid energy storage system induction motor energy management system |
| title | Conditioned Adaptive Barrier Function Based Integral Super-Twisting Sliding Mode Control for Electric Vehicles With Hybrid Energy Storage System |
| title_full | Conditioned Adaptive Barrier Function Based Integral Super-Twisting Sliding Mode Control for Electric Vehicles With Hybrid Energy Storage System |
| title_fullStr | Conditioned Adaptive Barrier Function Based Integral Super-Twisting Sliding Mode Control for Electric Vehicles With Hybrid Energy Storage System |
| title_full_unstemmed | Conditioned Adaptive Barrier Function Based Integral Super-Twisting Sliding Mode Control for Electric Vehicles With Hybrid Energy Storage System |
| title_short | Conditioned Adaptive Barrier Function Based Integral Super-Twisting Sliding Mode Control for Electric Vehicles With Hybrid Energy Storage System |
| title_sort | conditioned adaptive barrier function based integral super twisting sliding mode control for electric vehicles with hybrid energy storage system |
| topic | Conditioned adaptive barrier sliding mode control indirect field oriented control electric vehicle hybrid energy storage system induction motor energy management system |
| url | https://ieeexplore.ieee.org/document/10772067/ |
| work_keys_str_mv | AT afaqahmed conditionedadaptivebarrierfunctionbasedintegralsupertwistingslidingmodecontrolforelectricvehicleswithhybridenergystoragesystem AT iftikharahmad conditionedadaptivebarrierfunctionbasedintegralsupertwistingslidingmodecontrolforelectricvehicleswithhybridenergystoragesystem AT habiburrehman conditionedadaptivebarrierfunctionbasedintegralsupertwistingslidingmodecontrolforelectricvehicleswithhybridenergystoragesystem AT ammarhasan conditionedadaptivebarrierfunctionbasedintegralsupertwistingslidingmodecontrolforelectricvehicleswithhybridenergystoragesystem |