Authors:
K. Lalitha, R. Vani, P. Paramasivan, S. Suman Rajest, Prasanna Ranjith Christodoss

Addresses:
Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Ramapuram,  Chennai, Tamil Nadu, India. Department of Research and Development, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. Department of Computing, Mathematics and Physics, Messiah University, Mechanicsburg, Pennsylvania, United States of America.

Abstract:

Vehicle electrification is gaining attention as a long-term option to overcome the effects of high carbon emissions and dependency on fossil fuels. To solve the issues of limited electric range and fluctuating power demands in electric vehicles (EVs), this study investigates the combination of a Hybrid Energy Storage System (HESS) with a Fuzzy Logic Controller. This method is a cutting-edge solution to addressing speed control difficulties in electric vehicles by combining a Fuzzy Logic Controller (FLC) with a Hybrid Energy Storage System (HESS). The combination of Fuzzy Logic, a sophisticated control approach capable of handling complex, nonlinear systems, and a HESS with numerous energy storage elements promises to transform how electric vehicles manage energy, respond to driver input, and maintain speed profiles. The HESS combines sophisticated battery technology and super capacitors to provide a synergistic approach to balancing energy density and fast power response. The fuzzy logic controller is designed to intelligently manage energy flow within the system, optimising the HESS's performance in real time in response to changing driving conditions, power requirements, and battery state. The study's goal is to demonstrate the usefulness of this integrated strategy in improving the overall energy economy, range, and performance of electric vehicles, which has been simulated and confirmed with MATLAB Simulink.

Keywords: Electric Vehicles; Fuzzy Logic Controller; Hybrid Energy; Storage System; Energy Economy; Ice Vehicles; High Energy Efficiency; Battery Technology; Speed Control; Nonlinear Systems.

Received on: 02/05/2024, Revised on: 12/07/2024, Accepted on: 16/09/2024, Published on: 09/06/2025

DOI: 10.69888/FTSES.2025.000414

FMDB Transactions on Sustainable Energy Sequence, 2025 Vol. 3 No. 1, Pages: 16-29

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