Generally, WSNs or IoT nodes are powered by energy-constrained batteries, which significantly limit their operating lifetime and application. Harvesting energy from the surrounding environment provides a promising solution for self-powered WSNs or IoT nodes. Compared with other energy harvesting approaches, thermoelectric energy harvesting based on thermoelectric generators (TEGs) has many advantages. However, the power output of TEGs is difficult to be maintained at its maximum power point (MPP) due to the fluctuation of ambient temperature. To achieve the maximum power point tracking (MPPT) based-on internal resistance matching method for self-powered WSNs or IoT nodes using TEG, this paper proposes a simple approach to obtain the models of TEG open-circuit voltage, Seebeck coefficient, and internal resistance. The proposed method is verified by a series of experiments on a commercial TEG module. The results indicate that the presented models are more accurate and simple than ...

中文翻译：

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MPPT自供电WSNs节点热电模块的建模与分析

通常，WSN或物联网节点由能量受限的电池供电，这极大地限制了它们的使用寿命和应用范围。从周围环境中收集能量为自供电的WSN或IoT节点提供了有希望的解决方案。与其他能量收集方法相比，基于热电发电机（TEG）的热电能量收集具有许多优势。但是，由于环境温度的波动，TEG的功率输出很难保持在其最大功率点（MPP）。为了使用TEG实现基于内部功率匹配的最大功率点跟踪（MPPT）的自供电WSN或IoT节点，本文提出了一种简单的方法来获得TEG开路电压，塞贝克系数和内部电压的模型。抵抗性。通过在商用TEG模块上进行的一系列实验验证了所提出的方法。结果表明，所提出的模型比...更准确，更简单。