Supertwisting Sliding Mode Control for Parallel Hybrid Electric Vehicle Control Strategy

Citation

Ghazali, Anith Khairunnisa and Ab Aziz, Nor Azlina (2023) Supertwisting Sliding Mode Control for Parallel Hybrid Electric Vehicle Control Strategy. In: 2023 IEEE 13th Symposium on Computer Applications & Industrial Electronics (ISCAIE), 20-21 May 2023, Penang, Malaysia.

[img] Text
2.pdf - Published Version
Restricted to Repository staff only

Download (433kB)

Abstract

Control strategy for hybrid electric vehicles (HEVs) is a method of energy management that helps with production, consumption, and conservation. To successfully manage hybrid electric vehicles, the best control technique is a big challenge. This study introduces super-twisting sliding mode control (STSMC) to optimise the state of charge (SOC) in parallel HEVs to achieve optimal control. The proposed proportional gain, k, varied in three values and was verified using the ADVISOR (Advanced Vehicle Simulator) MATLAB simulation. The simulation results were used to validate the proposed design’s performance in terms of SOC stored energy, overall efficiency, and fuel emission. The proposed control strategy can improve the SOC at S71 seconds, overall efficiency ratio to 0.239, stored energy 5042 kJ, and be able to lower fuel emissions, according to the results.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: hybrid electric vehicles
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-484 Motor vehicles. Cycles
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 31 Jul 2023 02:49
Last Modified: 31 Jul 2023 02:49
URII: http://shdl.mmu.edu.my/id/eprint/11571

Downloads

Downloads per month over past year

View ItemEdit (login required)