Optimal Charging Time for a Fuzzy-Controlled Electric Two-Wheeler Movable Charging Unit

International Journal of Electrical and Electronics Engineering

© 2025 by SSRG - IJEEE Journal

Volume 12 Issue 7

Year of Publication : 2025

Authors : Mahitha P.S, Ramesh L

10.14445/23488379/IJEEE-V12I7P106

How to Cite?

Mahitha P.S, Ramesh L, "Optimal Charging Time for a Fuzzy-Controlled Electric Two-Wheeler Movable Charging Unit," SSRG International Journal of Electrical and Electronics Engineering, vol. 12,  no. 7, pp. 86-99, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I7P106

Abstract:

Globally, Electric vehicles are gradually becoming dominant in the transportation sector, which necessitates the growth of charging points. Apart from home chargers, the high installation cost and lack of space for public charging stations hamper achieving this. Another vital setback is the long charging time of an Electric Vehicle. Quite a number of research studies are being done to reduce the charging time of Electric vehicles. The Fuzzy-controlled movable charging unit, with its lesser space requirement, lesser cost and reduced charge time for Electric Vehicle, has been proposed in this paper, which can charge an electric two-wheeler. The case study where the Fuzzy-controlled movable charging unit charges an electric vehicle along with multiple loads was simulated in MATLAB R2021a, and studied. The hardware implementation was done, where the Fuzzy-controlled mobile charging unit prototype was built and tested with a 3.7V,4000mAh Lithium-ion battery. The fuzzy logic controller with constant current charging circuit was utilized in the implementation. The fuzzy logic controller operates based on membership functions with a set of defined fuzzy rules. Thus, fuzzy logic was introduced as an optimization tool, reducing the charge time to 7 minutes against 33 minutes when implemented with a conventional controller. The project satisfies UN Sustainable Development Goals 7(clean Energy) and 13(climate action).

Keywords:

Charging time, Electric vehicle, Fuzzy logic controller, Lithium-ion battery, Mobile charging station.

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