Optimization and energy management strategies, challenges, advances, and prospects in electric vehicles and their charging infrastructures: A comprehensive review

IF 4 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Computers & Electrical Engineering Pub Date : 2024-11-07 DOI:10.1016/j.compeleceng.2024.109842
Jamiu Oladigbolu , Asad Mujeeb , Li Li
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Abstract

Electric vehicles (EVs) are at the forefront of global efforts to reduce greenhouse gas emissions and transition to sustainable energy systems. This review comprehensively examines the optimization and energy management strategies for EVs and their charging infrastructure, focusing on technological advancements, persistent challenges, and future prospects. By the end of 2023, the number of electric cars on the road globally reached 40 million, with 14 million new registrations recorded in 2023 alone—95% of which were in China, Europe, and the United States. Governments across the globe have introduced incentives and policies to promote EV adoption, and by 2030, EVs are expected to comprise a significant portion of light-duty vehicles in major regions. Despite these encouraging developments, challenges such as range anxiety, the relatively low energy density of 200–300 Wh/kg in Li-ion batteries (compared to 13,000 Wh/kg for petroleum), and insufficient public charging infrastructure remain key barriers to widespread EV adoption. This review also explores the critical role of smart grid technologies, vehicle-to-grid (V2G) systems, and renewable energy integration in supporting the growing EV market. V2G technologies are projected to enhance grid stability by 20–30% and reduce operational costs by 10–15% through load balancing and real-time energy price forecasting. By thoroughly analyzing optimization techniques such as load balancing, dynamic scheduling, and real-time energy management, this paper offers a roadmap for researchers, policymakers, and industry stakeholders to accelerate the integration of EVs into global energy systems and enhance sustainability in urban transportation networks.
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电动汽车及其充电基础设施的优化和能源管理战略、挑战、进展和前景:全面回顾
电动汽车(EV)是全球减少温室气体排放和向可持续能源系统过渡的最前沿。本综述全面探讨了电动汽车及其充电基础设施的优化和能源管理策略,重点关注技术进步、持续挑战和未来前景。到 2023 年底,全球上路行驶的电动汽车数量将达到 4000 万辆,仅 2023 年就有 1400 万辆新注册,其中 95% 在中国、欧洲和美国。全球各国政府纷纷出台激励措施和政策,推动电动汽车的普及,预计到 2030 年,电动汽车将在主要地区的轻型汽车中占据相当大的比例。尽管这些发展令人鼓舞,但诸如续航里程焦虑症、锂离子电池 200-300 Wh/kg 的相对较低能量密度(相比之下,石油电池为 13,000 Wh/kg)以及公共充电基础设施不足等挑战仍然是电动汽车普及的主要障碍。本综述还探讨了智能电网技术、车辆到电网(V2G)系统和可再生能源集成在支持日益增长的电动汽车市场中的关键作用。通过负载平衡和实时能源价格预测,V2G 技术预计可将电网稳定性提高 20-30%,并将运营成本降低 10-15%。通过深入分析负载平衡、动态调度和实时能源管理等优化技术,本文为研究人员、政策制定者和行业利益相关者提供了一个路线图,以加快电动汽车与全球能源系统的整合,提高城市交通网络的可持续性。
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来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
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