Shift! Making EV charging accessible for drivers and fleets.
Shift! Making EV charging accessible for drivers and fleets.
批准号:
10006056
负责人:
金额:
$33.2万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --
中文摘要
随着技术进步降低成本,企业寻找可行的解决方案来应对日益增长的城市化和环境挑战,商业船队使用电动汽车的商业理由越来越充分。随着2030年结束在英国销售内燃机的最后期限的提前,这一进程进一步加快。该项目寻求解决车队电气化的几个障碍,特别是那些家庭启动的车辆,同时还改进了安装无障碍基础设施的指导。从商业上讲,车队电气化可以降低未来潜在法规的风险,并在短期内降低维护和燃料成本的可能性。转换为零排放车队的公司也可以获得税收减免、赠款和其他财务激励。作为向议会提供充电基础设施和向车队提供远程信息处理解决方案的供应商,EB处于有利地位,可以在这一领域开发、测试解决方案并将其商业化,并得到合作伙伴布莱顿和霍夫市议会以及英国残疾人汽车公司的良好支持。该项目将加速市场,使用技术解锁限制,以便车队可以获得使用智能充电产生的使用情况、能源成本和收入的准确报告,电动汽车充电基础设施的运营商可以受益于对无障碍基础设施的新支持。
英文摘要
The business case for commercial fleets to go electric is getting stronger as technology advances reduce costs and companies search for viable solutions to growing urbanisation and environmental challenges. This has been further accelerated with the advancement of the deadline to end the sale of internal combustion engines in the UK by 2030\.This project seeks to address several barriers to fleet electrification, particularly those with home-start vehicles, whilst also improving the guidance on installing accessible infrastructure.Commercially, fleet electrification can lead to reduced risk from potential future regulation, and in the short term, the possibility of lower maintenance and fuel costs. Tax breaks, grants and other financial incentives also may be available to companies that convert to a zero-emissions fleet.As a provider of charging infrastructure to councils and telematics solutions to fleets, EB is well placed to develop, test and commercialise a solution in this space and is well supported by partners Brighton and Hove City Council and Disabled Motoring UK. This project will accelerate the market, using technology to unlock constraints so that the fleet can get accurate reports of usage, energy costs and revenues, arising from the use of smart charging and operators of EV charging infrastructure can benefit from new support on accessible infrastructure.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
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项目类别:合作创新研究团队
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资助金额:--
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批准年份:2024
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负责人:姚韬
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依托单位: