Application of Solid State Transformer in Wireless charging system of EV and voltage profile enhancement by using AI techniques
Keywords:Solid State Transformer (SST), Electric Vehicles (EV), Artificial Neural Network (ANN), Fuzzy Logic System, Battery Pack, Wireless Power Transfer (WPT), Proportional plus integral controller (PI)
The paper describes a novel approach to wireless charging in electric vehicle design. The development of solid-state transformers (SSTs) is based on silicon carbide devices that are able to block higher voltages and switch faster than silicon (Si) power devices. The wireless charging system makes charging very easy and reliable. LFT is replaced by SST in wireless charging. maintaining a constant DC bus voltage for EV and any load requirements. Two AI controllers were proposed for regulating the voltage. For battery charging, a dual-active bridge is used. Since it charges in constant current and constant voltage (CC-CV) modes. The fuzzy and ANN regulated the DC bus voltage and were implemented in MATLAB and Simulink. However, fuzzy has a long computational time. This article proposes a new design that is based on solid-state transformer-based wireless charging technologies for EVs and control strategies based on ANN and fuzzy logic for voltage profile enhancement. Finally, for battery charging, the proportional plus integral controller-based dual active bridge allows the user to specify the desired current, enabling constant current mode.
How to Cite
Copyright (c) 2023 Dinakar Yeddu, B. Loveswara Rao
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Rights and Permission