Open AccessThe effect of data sampling time on the accuracy of maximum output power of a thermoelectric module
Author(s) -
Junling Gao,
Bo Feng,
Xiaolong Fan,
Shimin Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1633/1/012096
Subject(s) - sampling (signal processing) , open circuit voltage , sampling time , power (physics) , short circuit , mode (computer interface) , voltage , mathematics , statistics , observational error , sample and hold , control theory (sociology) , algorithm , computer science , electrical engineering , physics , engineering , telecommunications , detector , control (management) , quantum mechanics , artificial intelligence , operating system
The instantaneous short-circuit current and open-circuit voltage of TEM (Thermoelectric Module) can be used to quickly estimate its maximum output power ( P o max ). Because of their instantaneous samples, the sampling time has a great influence on the accuracy of the estimated result. In this paper, the influence mechanism of sampling time is analysed systematically and a module of TEG1-127-2.8-1.2-250 is taken as a sample for verification. By means of either steady open-circuit/instantaneous short-circuit at mode A or steady short-circuit/instantaneous open-circuit at mode B, P o max can be estimated quickly. At single mode A or B, the shorter the sampling time is, the greater the relative error of the estimation of P o max has. This error varies with different temperature of hot plate, but the variation trend with sampling time is consistent. The valuations at model A and B are larger and smaller than the accurate values, respectively. When the sampling time is 600 to 1000ms, the error is the smallest (less than 3%). The accuracy of P o max is significantly improved by using the average results of mode A and B. In this way, the sampling time has little influence on the estimation error, and the shortest sampling time corresponds to the highest estimation accuracy.