(All-in-One) Power Supply System for Mobile and Network-Wired Raspberry Pi-Based Internet of Things Applications

Author:

Hausherr Daniel Pascal1,Berben Dirk1

Affiliation:

1. Physics Laboratory, University of Applied Sciences South Westphalia, Campus Hagen, 58095 Hagen, Germany

Abstract

Internet of Things (IoT) applications based on the single-board computer Raspberry Pi depend on reliable and sufficiently powerful energy systems to allow system diversity, flexibility, and available computing power. On this account, we developed an all-in-one module to simplify both the autonomous and network-wired power supply of Raspberry Pi-based systems. The module generates a stable voltage of 5.1 VDC with an available maximum current of 3 A to power a single Raspberry Pi model 3B+ or 4 and furthermore provides an additional power source of 3 VDC–12 VDC at a maximum of 3 A for use by arbitrary peripherals. To accommodate different use cases, the system has various energy supply options such as a 4S lithium polymer (LiPo) battery for autonomous operation, including a battery management and charging solution, as well as wire-based options, such as USB-C with USB Power Delivery (USB-PD) or Power over Ethernet (PoE+) via an additional module.

Funder

German Federal Ministry of Education and Research

Publisher

MDPI AG

Reference30 articles.

1. Raspberry Pi (2023, November 01). Buy a Raspberry Pi 4 Model B—Raspberry Pi. Available online: https://www.raspberrypi.org/products/raspberry-pi-4-model-b.

2. Development of surveillance robot based on face recognition using Raspberry-PI and IOT;Meddeb;Microprocess. Microsyst.,2023

3. Mathe, S.E., Pamarthy, A.C., Kondaveeti, H.K., and Vappangi, S. (2022, January 12–14). A Review on Raspberry Pi and its Robotic Applications. Proceedings of the 2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP), Vijayawada, India.

4. Image Processing on Raspberry Pi for Mobile Robotics;Horak;Int. J. Signal Process. Syst.,2016

5. Broad-scale applications of the Raspberry Pi: A review and guide for biologists;Jolles;Methods Ecol. Evol.,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3