Title: The integration of electric vehicles with Internet of Things platform: improved GRFA technique

Authors: R. Subramaniyan

Addresses: Department of Electronics and Communication Engineering, Takshashila University, Tindivanam, 604305, India

Abstract: This manuscript presents a hybrid approach for the integration of electric vehicles (EVs) with the Internet of Things (IOT) platform. The proposed hybrid method is the combined performance of GarraRufa fish optimisation (GRFO) and artificial transgender longicorn algorithm (ATLA). In the current control program, the GRFO search process is improved using the ATLA to take into account the minimal error function, thus it is renamed the Improved GRFO Algorithm control program. This manuscript focuses on non-isolated four-port power electronic interfaces for EV. The contribution of the work is to explore the application of transformer-less single-phase four-port two-way buck-boost converter EVs by integrating IOT. The proposed method is installed on the MATLAB platform, and its performance is tested against other existing systems. The proposed approach has benefits such as a modular structure with a reduced number of components and the integration of diversified input sources with dissimilar voltage-current characteristics.

Keywords: ATLA; artificial transgender longicorn algorithm; electric vehicle; GRFO; GarraRufa fish optimisation; Internet of Things; non-isolated four-port; power electronic interface.

DOI: 10.1504/IJHVS.2024.139741

International Journal of Heavy Vehicle Systems, 2024 Vol.31 No.4, pp.471 - 495

Received: 03 Aug 2023
Accepted: 16 Oct 2023
Published online: 05 Jul 2024 *

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