Aaqib Raza, M. H. Baloch, Irfan Ali, Waqas Ali, M. Hassan, Abdul Karim
{"title":"具有自充电基础设施的人工智能和物联网自动混合动力汽车","authors":"Aaqib Raza, M. H. Baloch, Irfan Ali, Waqas Ali, M. Hassan, Abdul Karim","doi":"10.1109/ICETECC56662.2022.10069346","DOIUrl":null,"url":null,"abstract":"Electric vehicles (EVs) are increasing day by day across the world. Due to zero CO2 emission and being environmentally friendly, electric vehicles are steadily gaining in popularity. Energy storage and charging systems are one of the main issues that should be removed completely. This paper provides solutions to charging systems with hybrid sources, plug-in hybrid electric vehicles (PHEVs), and all-electric vehicles (EVs). The application of the Internet of things (IoT) and Artificial Intelligence in monitoring the performance of a charging system, and fully autonomous driving electric vehicles by using different sensors connected. A self-charging system can be implemented and the exchange of information between the vehicle and its surroundings. Artificial Intelligence (AI) refers to the human mind that can perform tasks and decision-making like human intelligence through different logic and programs. Artificial Intelligence (AI) accelerates electric vehicles towards automation. In the future, IoT and artificial intelligence-based complete autonomous driving vehicles enable us to reduce battery charging, parking, and traffic issues and change the infrastructure into smart cities.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence and IoT-Based Autonomous Hybrid Electric Vehicle with Self-Charging Infrastructure\",\"authors\":\"Aaqib Raza, M. H. Baloch, Irfan Ali, Waqas Ali, M. Hassan, Abdul Karim\",\"doi\":\"10.1109/ICETECC56662.2022.10069346\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electric vehicles (EVs) are increasing day by day across the world. Due to zero CO2 emission and being environmentally friendly, electric vehicles are steadily gaining in popularity. Energy storage and charging systems are one of the main issues that should be removed completely. This paper provides solutions to charging systems with hybrid sources, plug-in hybrid electric vehicles (PHEVs), and all-electric vehicles (EVs). The application of the Internet of things (IoT) and Artificial Intelligence in monitoring the performance of a charging system, and fully autonomous driving electric vehicles by using different sensors connected. A self-charging system can be implemented and the exchange of information between the vehicle and its surroundings. Artificial Intelligence (AI) refers to the human mind that can perform tasks and decision-making like human intelligence through different logic and programs. Artificial Intelligence (AI) accelerates electric vehicles towards automation. In the future, IoT and artificial intelligence-based complete autonomous driving vehicles enable us to reduce battery charging, parking, and traffic issues and change the infrastructure into smart cities.\",\"PeriodicalId\":364463,\"journal\":{\"name\":\"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETECC56662.2022.10069346\",\"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 Emerging Technologies in Electronics, Computing and Communication (ICETECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETECC56662.2022.10069346","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial Intelligence and IoT-Based Autonomous Hybrid Electric Vehicle with Self-Charging Infrastructure
Electric vehicles (EVs) are increasing day by day across the world. Due to zero CO2 emission and being environmentally friendly, electric vehicles are steadily gaining in popularity. Energy storage and charging systems are one of the main issues that should be removed completely. This paper provides solutions to charging systems with hybrid sources, plug-in hybrid electric vehicles (PHEVs), and all-electric vehicles (EVs). The application of the Internet of things (IoT) and Artificial Intelligence in monitoring the performance of a charging system, and fully autonomous driving electric vehicles by using different sensors connected. A self-charging system can be implemented and the exchange of information between the vehicle and its surroundings. Artificial Intelligence (AI) refers to the human mind that can perform tasks and decision-making like human intelligence through different logic and programs. Artificial Intelligence (AI) accelerates electric vehicles towards automation. In the future, IoT and artificial intelligence-based complete autonomous driving vehicles enable us to reduce battery charging, parking, and traffic issues and change the infrastructure into smart cities.