Fabrication of Nanostructured Skutterudite-Based Thermoelectric Module and Design of a Maximum Power Point Tracking System for the Thermoelectric Pile

Cheng, Fuqiang; Gao, Yu; Guo, Xiaohong; Li, Ziyue; Fu, Liangwei; Shi, Lijian; Han, Xiao; Zheng, Kun; Wang, Chao; Zhang, Weitao

doi:10.1109/jsen.2019.2905150

Cited by 11 publications

(1 citation statement)

References 23 publications

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“…The MPPT technique is considered to be an efficient mechanism to improve the performance of the TEG. To improve the efficiency of the renewable energy system by extracting the maximum power, several MPPT techniques have been applied: artificial neural networks (ANN) [23], fractional open-circuit voltage [6], fuzzy logic control [24], a microcomputer with look-up table [25], perturb and observe method (P&O) [26,27], incremental impedance and incremental conductance method (INC) [28], internal resistance method [29], and the hill climbing (HC) technique [30]. These techniques are widely used because of their simple logic and ease of implementation.…”

Section: Introductionmentioning

confidence: 99%

A Variable Fractional Order Fuzzy Logic Control Based MPPT Technique for Improving Energy Conversion Efficiency of Thermoelectric Power Generator

2020

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Thermoelectric generation technology is considered to be one of the viable methods to convert waste heat energy directly into electricity. The utilization of this technology has been impeded due to low energy conversion efficiency. This paper aims to improve the energy conversion efficiency of the thermoelectric generator (TEG) model with a novel maximum power point tracking (MPPT) technique. A variable fractional order fuzzy logic controller (VFOFLC)-based MPPT technique is proposed in the present work in which the operating point of the TEG is moved quickly towards an optimal position to increase the energy harvesting. The fraction order term α, introduced in the MPPT algorithm, will expand or contract the input domain of the fuzzy logic controller (FLC to shorten the tracking time and maintain a steady-state output around the maximum power point (MPP). The performance of the proposed MPPT technique was verified with the TEG model by simulation using MATLAB /SIMULINK software. Then, the overall performance of the VFOFLC-based MPPT technique was analyzed and compared with Perturb and observe (P&O) and incremental resistance (INR)-based MPPT techniques. The obtained results confirm that the proposed MPPT technique can improve the energy conversion efficiency of the TEG by harvesting the maximum power within a shorter time and maintaining a steady-state output when compared to other techniques.

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