Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/130939
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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