| Issue |
E3S Web Conf.
Volume 309, 2021
3rd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2021)
|
|
|---|---|---|
| Article Number | 01065 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202130901065 | |
| Published online | 07 October 2021 | |
ANN Based Current Controller for Hybrid Electric Vehicles
1 PG Student, Department of EEE, GRIET, Hyderabad, India.
2 Associate Professor, Department of EEE, GRIET, Hyderabad, India.
The use of Hybrid Electric Vehicles (HEVs) across the world is growing enormously every day. The single-phase bi-directional convertors are presented in this study for HEVs on-board charging(OBC). In HEVs, we use power electronics converters for the converting and inverting operations. Artificial Neural Network(ANN) is presented in this study for simple operation and high optimization approaches. ANN control technique regulates the system's THD and enhances charging system optimization, enables two-way power delivery that is from the grid to vehicle and the vehicle to grid. An ANN based current controller model that achieves fast-dynamic reaction and that improves grid current harmonic characteristics is proposed in this study. The system's THD is reduced by the ANN controller being suggested. The results prove the validity and feasibility of design and control technique of the proposed integrated charging system.
Key words: DC-DC bi-directional converters (BDCs) / Artificial Neural Network algorithms / Electric Vehicles
© The Authors, published by EDP Sciences, 2021
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