Utilization of Peltier Chipsets in Electric Vehicles to Charge Li-Ion Batteries

Abdalrahman Skheta, Onur Akar
{"title":"Utilization of Peltier Chipsets in Electric Vehicles to Charge Li-Ion Batteries","authors":"Abdalrahman Skheta, Onur Akar","doi":"10.58190/icat.2023.27","DOIUrl":null,"url":null,"abstract":"Using the Peltier effect for power generation is a relatively new technology that has been gaining attention in recent years. Using Peltier chips for power generation in EVs is an interesting approach that has the potential to provide a renewable and sustainable source of energy. By using the heat generated by the car's components during operation, the Peltier chips can generate electricity, which can be used to charge the battery. This approach has several benefits, including reducing the reliance on fossil fuels, improving the efficiency of the vehicle, and reducing the carbon footprint of the EV. The Peltier effect is a thermoelectric phenomenon that converts temperature differences into electrical energy to generate enough power to recharge an electric vehicle battery, several Peltier chips can be connected in series, and a converter can be used to convert the generated voltage into a sufficient voltage and can charge the battery. In this paper, an in-depth exploration will be conducted to evaluate the overall effectiveness and efficiency of Pelter chips, with a particular focus on simulating the utilization of these chips through the utilization of Proteus software.","PeriodicalId":20592,"journal":{"name":"PROCEEDINGS OF THE III INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES IN MATERIALS SCIENCE, MECHANICAL AND AUTOMATION ENGINEERING: MIP: Engineering-III – 2021","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PROCEEDINGS OF THE III INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES IN MATERIALS SCIENCE, MECHANICAL AND AUTOMATION ENGINEERING: MIP: Engineering-III – 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58190/icat.2023.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Using the Peltier effect for power generation is a relatively new technology that has been gaining attention in recent years. Using Peltier chips for power generation in EVs is an interesting approach that has the potential to provide a renewable and sustainable source of energy. By using the heat generated by the car's components during operation, the Peltier chips can generate electricity, which can be used to charge the battery. This approach has several benefits, including reducing the reliance on fossil fuels, improving the efficiency of the vehicle, and reducing the carbon footprint of the EV. The Peltier effect is a thermoelectric phenomenon that converts temperature differences into electrical energy to generate enough power to recharge an electric vehicle battery, several Peltier chips can be connected in series, and a converter can be used to convert the generated voltage into a sufficient voltage and can charge the battery. In this paper, an in-depth exploration will be conducted to evaluate the overall effectiveness and efficiency of Pelter chips, with a particular focus on simulating the utilization of these chips through the utilization of Proteus software.
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
Peltier芯片组在电动汽车中为锂离子电池充电的应用
利用珀尔帖效应发电是近年来备受关注的一项相对较新的技术。在电动汽车中使用Peltier芯片发电是一种有趣的方法,有可能提供可再生和可持续的能源。通过利用汽车部件在运行过程中产生的热量,Peltier芯片可以产生电能,这些电能可以用来给电池充电。这种方法有几个好处,包括减少对化石燃料的依赖,提高车辆的效率,减少电动汽车的碳足迹。珀尔帖效应是一种热电现象,将温差转化为电能,产生足够的能量给电动汽车电池充电,几个珀尔帖芯片可以串联起来,用转换器将产生的电压转换成足够的电压,可以给电池充电。本文将深入探讨Pelter芯片的整体有效性和效率,并通过Proteus软件模拟这些芯片的使用情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Effectiveness of Deep Learning Methods on Groundnut Disease Detection Design and optimisation of tubular linear motor (TLM) for oxygen concentrator device Deep Learning-Based Classification of Black Gram Plant Leaf Diseases: A Comparative Study Prediction of Sleep Health Status, Visualization and Analysis of Data Detection of Fungal Infections from Microscopic Fungal Images Using Deep Learning Techniques
×
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