{"title":"迈向电动汽车基础设施的统一框架:充电管理、通信和新兴技术的见解","authors":"S. Zahedieh , A. Oulis Rousis , A. Bourazeri","doi":"10.1016/j.egyr.2025.08.011","DOIUrl":null,"url":null,"abstract":"<div><div>The transportation sector remains a major contributor to greenhouse gas emissions, and the widespread adoption of electric vehicles (EVs) is a key strategy for mitigating this impact. However, scaling EV adoption requires an equally robust expansion and integration of charging infrastructure, which currently suffers from fragmented management systems and incompatible communication protocols. This paper systematically reviews the existing landscape of EV infrastructure, identifying gaps in charging efficiency, grid integration, and user accessibility. Through an analysis of EV simulation platforms, communication standards, and central management systems, we synthesize key insights into a unified framework that leverages emerging technologies such as blockchain, AI-driven optimization, and reinforcement learning. Furthermore, we propose strategies for enhancing scalability, including EV unification, gamification, and adaptive charging mechanisms. By providing a structured roadmap, this study serves as a comprehensive guide for researchers, policymakers, and industry leaders, offering actionable insights to optimize the EV ecosystem and accelerate the shift toward sustainable transportation.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"14 ","pages":"Pages 1834-1854"},"PeriodicalIF":5.1000,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toward a unified framework for electric vehicle infrastructure: Insights into charging management, communication and emerging technologies\",\"authors\":\"S. Zahedieh , A. Oulis Rousis , A. Bourazeri\",\"doi\":\"10.1016/j.egyr.2025.08.011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The transportation sector remains a major contributor to greenhouse gas emissions, and the widespread adoption of electric vehicles (EVs) is a key strategy for mitigating this impact. However, scaling EV adoption requires an equally robust expansion and integration of charging infrastructure, which currently suffers from fragmented management systems and incompatible communication protocols. This paper systematically reviews the existing landscape of EV infrastructure, identifying gaps in charging efficiency, grid integration, and user accessibility. Through an analysis of EV simulation platforms, communication standards, and central management systems, we synthesize key insights into a unified framework that leverages emerging technologies such as blockchain, AI-driven optimization, and reinforcement learning. Furthermore, we propose strategies for enhancing scalability, including EV unification, gamification, and adaptive charging mechanisms. By providing a structured roadmap, this study serves as a comprehensive guide for researchers, policymakers, and industry leaders, offering actionable insights to optimize the EV ecosystem and accelerate the shift toward sustainable transportation.</div></div>\",\"PeriodicalId\":11798,\"journal\":{\"name\":\"Energy Reports\",\"volume\":\"14 \",\"pages\":\"Pages 1834-1854\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2025-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Reports\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352484725004743\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Reports","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352484725004743","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Toward a unified framework for electric vehicle infrastructure: Insights into charging management, communication and emerging technologies
The transportation sector remains a major contributor to greenhouse gas emissions, and the widespread adoption of electric vehicles (EVs) is a key strategy for mitigating this impact. However, scaling EV adoption requires an equally robust expansion and integration of charging infrastructure, which currently suffers from fragmented management systems and incompatible communication protocols. This paper systematically reviews the existing landscape of EV infrastructure, identifying gaps in charging efficiency, grid integration, and user accessibility. Through an analysis of EV simulation platforms, communication standards, and central management systems, we synthesize key insights into a unified framework that leverages emerging technologies such as blockchain, AI-driven optimization, and reinforcement learning. Furthermore, we propose strategies for enhancing scalability, including EV unification, gamification, and adaptive charging mechanisms. By providing a structured roadmap, this study serves as a comprehensive guide for researchers, policymakers, and industry leaders, offering actionable insights to optimize the EV ecosystem and accelerate the shift toward sustainable transportation.
期刊介绍:
Energy Reports is a new online multidisciplinary open access journal which focuses on publishing new research in the area of Energy with a rapid review and publication time. Energy Reports will be open to direct submissions and also to submissions from other Elsevier Energy journals, whose Editors have determined that Energy Reports would be a better fit.