Technology and economics of electric vehicle power transfer: insights for the automotive industry

Q2 Energy Energy Informatics Pub Date : 2023-11-17 DOI:10.1186/s42162-023-00300-4
Girish Ghatikar, Mohammad S. Alam
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引用次数: 0

Abstract

Battery-based electric vehicles (BEVs) in the United States (U.S.) set a new sales record in 2022, driven by technology, policy, environmental, and economic objectives. However, the rapid deployment of BEVs and charging infrastructure without a careful review of their integration with the electric grid can have negative economic impacts on reliable and resilient electricity supply. Bi-directional power transfer (Bi-Di) vehicle-grid integration technologies and services such as vehicle-to-home or building (V2H/B) and vehicle-to-grid (V2G) can potentially lower local and system peak demand, improve economics for grid operators, and benefit BEV customers. Original equipment manufacturers (OEMs) in the automotive industry are exploring technologies and economics (techno-economics) for Bi-Di services. The study conducted a literature review of eleven case studies in the U.S. and Europe that featured Bi-Di demonstrations from 2005 to 2022 to highlight insights and techno-economic opportunities and challenges for OEMs. The findings should motivate the OEMs to prioritize technology innovation and business models to increase BEV sales and gain continuous revenue from Bi-Di services, which can potentially transition "car makers" to "technology solution" companies.

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电动汽车动力传输的技术与经济:对汽车行业的洞察
在技术、政策、环境和经济目标的推动下,美国的纯电动汽车(bev)在2022年创下了新的销售纪录。然而,快速部署纯电动汽车和充电基础设施,而不仔细审查它们与电网的整合情况,可能会对可靠和有弹性的电力供应产生负面的经济影响。双向电力传输(Bi-Di)车辆-电网集成技术和服务,如车辆到家庭或建筑物(V2H/B)和车辆到电网(V2G),可以潜在地降低本地和系统峰值需求,提高电网运营商的经济效益,并使纯电动汽车客户受益。汽车行业的原始设备制造商(oem)正在探索Bi-Di服务的技术和经济(tech -economics)。该研究对2005年至2022年在美国和欧洲进行的11个案例研究进行了文献回顾,以突出对原始设备制造商的见解以及技术经济机遇和挑战。这些发现应该会激励oem厂商优先考虑技术创新和商业模式,以增加纯电动汽车的销量,并从Bi-Di服务中获得持续的收入,这可能会使“汽车制造商”转变为“技术解决方案”公司。
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来源期刊
Energy Informatics
Energy Informatics Computer Science-Computer Networks and Communications
CiteScore
5.50
自引率
0.00%
发文量
34
审稿时长
5 weeks
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