{"title":"用于能量收集物联网节点的PWM和MPPT功率转换器的设计与分析","authors":"Himanshu Sharma, A. Haque, Z. Jaffery","doi":"10.1109/ICPECA47973.2019.8975396","DOIUrl":null,"url":null,"abstract":"This paper focus on the design of efficient circuit and systems for low power (< 1 W) energy harvesting wireless sensor network (WSN) nodes. We investigated various topologies of solar battery charging systems. We designed a 3.6 volts battery charging circuit in MATLAB/Simulink for IoT nodes. We observed that using pulse width modulation (PWM) control techniques the battery charges up to 30% only for 500 seconds of simulation time. On another hand, using Perturb & Observation (P&O) maximum power point tracking (MPPT) techniques the battery charges up to 95 % within 200 seconds of simulation time only. Thus, as shown by our simulation results the P&O MPPT is more efficient as compared to PWM technique for battery charging of IoT nodes.s","PeriodicalId":6761,"journal":{"name":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","volume":"6 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Design & Analysis of PWM & MPPT Power Converters for Energy Harvesting IoT Nodes\",\"authors\":\"Himanshu Sharma, A. Haque, Z. Jaffery\",\"doi\":\"10.1109/ICPECA47973.2019.8975396\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focus on the design of efficient circuit and systems for low power (< 1 W) energy harvesting wireless sensor network (WSN) nodes. We investigated various topologies of solar battery charging systems. We designed a 3.6 volts battery charging circuit in MATLAB/Simulink for IoT nodes. We observed that using pulse width modulation (PWM) control techniques the battery charges up to 30% only for 500 seconds of simulation time. On another hand, using Perturb & Observation (P&O) maximum power point tracking (MPPT) techniques the battery charges up to 95 % within 200 seconds of simulation time only. Thus, as shown by our simulation results the P&O MPPT is more efficient as compared to PWM technique for battery charging of IoT nodes.s\",\"PeriodicalId\":6761,\"journal\":{\"name\":\"2019 International Conference on Power Electronics, Control and Automation (ICPECA)\",\"volume\":\"6 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Power Electronics, Control and Automation (ICPECA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPECA47973.2019.8975396\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPECA47973.2019.8975396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design & Analysis of PWM & MPPT Power Converters for Energy Harvesting IoT Nodes
This paper focus on the design of efficient circuit and systems for low power (< 1 W) energy harvesting wireless sensor network (WSN) nodes. We investigated various topologies of solar battery charging systems. We designed a 3.6 volts battery charging circuit in MATLAB/Simulink for IoT nodes. We observed that using pulse width modulation (PWM) control techniques the battery charges up to 30% only for 500 seconds of simulation time. On another hand, using Perturb & Observation (P&O) maximum power point tracking (MPPT) techniques the battery charges up to 95 % within 200 seconds of simulation time only. Thus, as shown by our simulation results the P&O MPPT is more efficient as compared to PWM technique for battery charging of IoT nodes.s
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
