Power Split Strategy Using Cascaded Fuzzy Control in a Hybrid Electric Vehicle

Eshan Samanta ¹ ( Department of Electrical Engineering, Global Institute of Science & Technology Haldia, Haldia, India. )
Samarjit  Kar ² ( Department of Mathematics, National Institute of Technology, Durgapur, India. )
Anupam De ³ ( Department of Basic Science & Humanities, Haldia Institute of Technology, Haldia, India. )

Submited date : 2024-12-18 Accepted date : 2025-06-30

Keywords: Cascaded fuzzy, Battery management, Electric vehicles, Intelligent power split, State of charge.,

Abstract :

In the present scenario, the research outcomes related to hybrid electric vehicles are highly dominating the entire novelty sector. Initially, the long-term operation of electric vehicles was found to be ineffective in the case of electric vehicles (EVs), and then only the hybrid concept was encapsulated. Now, it is a real challenge to control the power split strategy for an ideal run and an economical run as well. Many papers explored and investigated with a few novel initiatives indeed. In this paper, one of the most unique analyses has been discussed by considering rotational inertia and angular displacement of the wheel in the case of running on a battery only. On the other hand, based on the battery state of charge (SOC), battery ampere, as well as power splitting takes place between the battery and the internal combustion engine. The entire concept is described in this paper using a type 1 fuzzy logic controller (FLC) by incorporating Triplets as membership functions (MFs). In this work, the centre of area (COA) method is used for defuzzification. In this work, cascaded fuzzy is introduced as an Artificial Intelligence approach and applied in hybrid electric vehicles for intelligent optimum power splitting strategic planning. The study is theoretically constructed and validated using a few simulation-based results.

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