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Fuzzy Energy Management of Autonomous Weather Station ?

机译:自主气象站的模糊能源管理

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The importance of renewable energy is increasing rapidly nowadays. Solar energy is one of the most powerful resources that can be used to provide power supply for remote electrical devices. Such remote devices often need batteries replacements and maintenance that raises expenses. This contribution describes energy management and power harvesting implementation in a low-power microcontroller integrated within an autonomous solar-powered device with supercapacitor that significantly reduces maintenance needs. The energy management implements a fuzzy logic-based system that allows it to adapt to ambient temperature and sunlight intensity in deployment location. Fuzzy energy management sets device’s functional mode that affects the measurement rate of the weather station and subsequent storage rate in SD Card. Both simulation results and real data results obtained in a laboratory located in Ostrava, Czech Republic, are presented in this contribution.
机译:如今,可再生能源的重要性正在迅速提高。太阳能是可用于为远程电子设备提供电源的最强大资源之一。这样的远程设备通常需要更换电池并进行维护,这会增加费用。该文稿描述了集成在具有超级电容器的自主太阳能设备中的低功率微控制器中的能量管理和功率收集实现,该超级电容器可显着减少维护需求。能源管理实现了基于模糊逻辑的系统,该系统可以使其适应部署位置的环境温度和日照强度。模糊能源管理设置设备的功能模式,该功能模式会影响气象站的测量速率以及随后在SD卡中的存储速率。此贡献介绍了在捷克共和国俄斯特拉发的实验室中获得的模拟结果和实际数据结果。

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