{"title":"Optimized Power Management Unit for IoT Applications","authors":"Majdi M. Ababneh, O. Ugweje, A. Jaesim","doi":"10.1109/ICECCO48375.2019.9043189","DOIUrl":null,"url":null,"abstract":"Power Management Units (PMU) are rapidly being developed to provide a significant amount of power for sensors in Internet-of-Things (IoT) networks. This paper presents a novel optimized PMU design for IoT applications, which can be used as a part of energy harvesting system that can be composed of solar cells, wind turbine, thermal energy, and vibration. Hence the proposed design can be used as a feasible energy harvester, where notable power efficiency is achieved here over traditional PMU designs under the same circumstances. The optimized PMU is developed using a buck-boost DC-DC converter. The particle swarm optimization (PSO) is then applied to optimize the parameters of PMU, including buck-boost DC-DC converter, and control circuitry to achieve maximum power point and improve the overall efficiency.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECCO48375.2019.9043189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Power Management Units (PMU) are rapidly being developed to provide a significant amount of power for sensors in Internet-of-Things (IoT) networks. This paper presents a novel optimized PMU design for IoT applications, which can be used as a part of energy harvesting system that can be composed of solar cells, wind turbine, thermal energy, and vibration. Hence the proposed design can be used as a feasible energy harvester, where notable power efficiency is achieved here over traditional PMU designs under the same circumstances. The optimized PMU is developed using a buck-boost DC-DC converter. The particle swarm optimization (PSO) is then applied to optimize the parameters of PMU, including buck-boost DC-DC converter, and control circuitry to achieve maximum power point and improve the overall efficiency.