MPPT CONTROL METHOD FOR THERMOELECTRIC GENERATION BASED ON IMPROVED HONEY BADGER ALGORITHM

Liu Xinyu; Meng Qimeng; Xu Bin; Li Jifang; Huang Xinyang; Yang Wenjing

doi:10.19912/j.0254-0096.tynxb.2025-0801

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (9) : 620-627. DOI: 10.19912/j.0254-0096.tynxb.2025-0801

MPPT CONTROL METHOD FOR THERMOELECTRIC GENERATION BASED ON IMPROVED HONEY BADGER ALGORITHM

Liu Xinyu, Meng Qimeng, Xu Bin, Li Jifang, Huang Xinyang, Yang Wenjing

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Abstract

To address the multi-peak power tracking problem of thermoelectric generation systems under non-uniform temperature conditions, a hybrid control strategy combining an improved honey badger algorithm （IHBA） with constant voltage tracking （CVT） is proposed. A simulation model is built on the Matlab/Simulink platform. Test results show that the tracking accuracy is 98.9% and the response time is 0.04 seconds under constant temperature conditions. The average response time under dynamic temperature change and sudden load mutation conditions is less than 0.05 seconds. Physical tests verify the practicality of the algorithm under constant temperature conditions, and the tracking accuracy reaches 99.3% without overshoot. Compared with traditional methods such as CVT and PSO, this approach demonstrates significant advantages in tracking accuracy, response speed, stability, and robustness.

Key words

thermoelectric generation / maximum power point tracking （MPPT） / honey badger algorithm / constant voltage tracking （CVT） / Tent chaotic mapping / elite opposition-based learning

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Liu Xinyu, Meng Qimeng, Xu Bin, Li Jifang, Huang Xinyang, Yang Wenjing. MPPT CONTROL METHOD FOR THERMOELECTRIC GENERATION BASED ON IMPROVED HONEY BADGER ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(9): 620-627 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0801

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