| Issue |
E3S Web Conf.
Volume 336, 2022
The International Conference on Energy and Green Computing (ICEGC’2021)
|
|
|---|---|---|
| Article Number | 00067 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202233600067 | |
| Published online | 17 January 2022 | |
An hybrid control strategy design for Photovoltaic battery charger
Modelling, Materials and Systems Control Team, Higher school of Technology , Moulay Ismail University of Meknes, Morocco.
* e-mail: rkik.iliass@gmail.com/iliass.rkik@edu.umi.ac.ma
This work presents the design and the modelling of an improved lead acid Battery charger for solar photovoltaic applications. In this context, the control unit of the battery charger is composed of two intelligent controllers. In the first state, an MPPT controller based on an Adaptive neuro-fuzzy inference system (ANFIS) is used to extract the full maximum power provided by the PV array, in the second stage, the control unit switches to the regulator mode on the basis of a fuzzy logic control block that offers the three charging stages according to DIN 41773 standard for lead-acid battery. In order to demonstrate the performance of the ANFIS controller, this paper presents also a comparison of several MPPT techniques for solar PV applications.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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