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Title: | Design of a battery charging system fed by thermoelectric generator panels using MPPT techniques |
Authors: | Mohammed, M. F. Qasim, M. A. |
Issue Date: | 2023 |
Publisher: | De Gruyter Open Ltd |
Citation: | Mohammed, M & Qasim, M 2023, 'Design of a battery charging system fed by thermoelectric generator panels using MPPT techniques', Journal of Electrical Engineering, Том. 74, № 5, стр. 357-364. https://doi.org/10.2478/jee-2023-0043 Mohammed, M., & Qasim, M. (2023). Design of a battery charging system fed by thermoelectric generator panels using MPPT techniques. Journal of Electrical Engineering, 74(5), 357-364. https://doi.org/10.2478/jee-2023-0043 |
Abstract: | Thermal energy is a renewable energy source to generate electrical energy that is not fully developed. One device that converts thermal energy into electrical power is a thermoelectric generator (TEG). TEGs are available as modules of various sizes and voltage levels. This paper is about the design of a battery charging system powered by a TEG panel. The TEG panel is implemented using 150 TEG modules interconnected in series and parallel. Its power is transferred to a battery using two stages of DC/DC converters. The 1st stage is a Lou converter that is used for maximum power point tracking (MPPT) by a referenced perturb and observe (referenced P&O) algorithm. The 2nd stage is a bidirectional converter based on buck-boost modes of operation. The system is used to charge a 9 V 1.2 Ah battery. The proposed MPPT algorithm's performance is compared with a traditional P&O algorithm. The TEG panel provided 27.5 W at a ΔT of 30 0C. The designed system is simulated in MATLAB SIMULINK. © 2023 Mustafa F. Mohammed et al., published by Sciendo. |
Keywords: | BATTERY CHARGING P&O REFERENCED P&O TEG PANEL THERMOELECTRIC GENERATOR |
URI: | http://elar.urfu.ru/handle/10995/130939 |
Access: | info:eu-repo/semantics/openAccess cc-by-nc-nd |
License text: | https://creativecommons.org/licenses/by-nc-nd/4.0/ |
SCOPUS ID: | 85176242702 |
WOS ID: | 001098881700002 |
PURE ID: | 48508112 |
ISSN: | 1335-3632 |
DOI: | 10.2478/jee-2023-0043 |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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