基于物联网的混合电动汽车充电系统与数据处理

M. Saini, Shagufta Khan, Vipul Dutt Mishra, Manav Mehra, Deeksha Singh, Gopal Sengar
{"title":"基于物联网的混合电动汽车充电系统与数据处理","authors":"M. Saini, Shagufta Khan, Vipul Dutt Mishra, Manav Mehra, Deeksha Singh, Gopal Sengar","doi":"10.1109/ICICCSP53532.2022.9862458","DOIUrl":null,"url":null,"abstract":"The evolution of transportation with non-renewable resources is playing a vital role in increasing pollution which leads to global warming. The alarming state of global warming necessitates the complete adoption of renewable energy-based transportation infrastructure. This led to the adoption of new primary energy sources. The evolution of transportation and the increasing number of Electric Vehicles (EVs) will also affect the charging status. This research paper provides a solution to overcome the problem of charging EVs by the use of renewable energy sources. In this study the energy source used to charge the vehicle is a combination of renewable and non-renewable, specifically here in the vehicle is charged by the combination of solar energy and electricity, depending upon their availability. Solar energy will be used to charge the car first, but if it is not available at the time, the vehicle can still be charged using electricity. Using the concept, the vehicle is charged through a hybrid system. To monitor and control the battery health and status of the EVs, the IoT embedded smart sensors will be used here.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"IoT Based Hybrid EV Charging System with Data Processing\",\"authors\":\"M. Saini, Shagufta Khan, Vipul Dutt Mishra, Manav Mehra, Deeksha Singh, Gopal Sengar\",\"doi\":\"10.1109/ICICCSP53532.2022.9862458\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The evolution of transportation with non-renewable resources is playing a vital role in increasing pollution which leads to global warming. The alarming state of global warming necessitates the complete adoption of renewable energy-based transportation infrastructure. This led to the adoption of new primary energy sources. The evolution of transportation and the increasing number of Electric Vehicles (EVs) will also affect the charging status. This research paper provides a solution to overcome the problem of charging EVs by the use of renewable energy sources. In this study the energy source used to charge the vehicle is a combination of renewable and non-renewable, specifically here in the vehicle is charged by the combination of solar energy and electricity, depending upon their availability. Solar energy will be used to charge the car first, but if it is not available at the time, the vehicle can still be charged using electricity. Using the concept, the vehicle is charged through a hybrid system. To monitor and control the battery health and status of the EVs, the IoT embedded smart sensors will be used here.\",\"PeriodicalId\":326163,\"journal\":{\"name\":\"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICCSP53532.2022.9862458\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICCSP53532.2022.9862458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

不可再生资源交通的发展是导致全球变暖的污染加剧的重要原因。全球变暖的惊人状态要求完全采用以可再生能源为基础的交通基础设施。这导致采用新的一次能源。交通方式的发展和电动汽车数量的增加也将影响充电状况。本文提出了一种利用可再生能源来克服电动汽车充电问题的解决方案。在这项研究中,用于给车辆充电的能源是可再生能源和不可再生能源的结合,具体来说,在这里,车辆是通过太阳能和电力的结合来充电的,这取决于它们的可用性。太阳能将首先用于为汽车充电,但如果当时没有太阳能,车辆仍然可以使用电力充电。利用这一概念,车辆通过混合动力系统充电。为了监测和控制电动汽车的电池健康状况和状态,这里将使用物联网嵌入式智能传感器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
IoT Based Hybrid EV Charging System with Data Processing
The evolution of transportation with non-renewable resources is playing a vital role in increasing pollution which leads to global warming. The alarming state of global warming necessitates the complete adoption of renewable energy-based transportation infrastructure. This led to the adoption of new primary energy sources. The evolution of transportation and the increasing number of Electric Vehicles (EVs) will also affect the charging status. This research paper provides a solution to overcome the problem of charging EVs by the use of renewable energy sources. In this study the energy source used to charge the vehicle is a combination of renewable and non-renewable, specifically here in the vehicle is charged by the combination of solar energy and electricity, depending upon their availability. Solar energy will be used to charge the car first, but if it is not available at the time, the vehicle can still be charged using electricity. Using the concept, the vehicle is charged through a hybrid system. To monitor and control the battery health and status of the EVs, the IoT embedded smart sensors will be used here.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Impact on Electrical Distribution Networks with The Integration of Shunt Capacitor Model Using Exhaustive Search Based Load Flow Algorithm A Smart Solar Charge Controller Based on IOT Technology with Hardware Implementation Message from the Chairman, Sree Group Material Properties and Tool selection for Friction Stir Welding: A Review Adversarial Attacks against Machine Learning Classifiers: A Study of Sentiment Classification in Twitter
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1