An Intelligent & Inclusive Revolution in Public Electric Vehicle Recharging experience

一个聪明的

• 批准号: 10042787
• 金额: $ 6.19万
• 依托单位: JUICE SERVE LTD.
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10042787
• 关键词: Intelligent; Inclusive; Revolution; Public; Electric

Universally poor customer experience of public electric vehicle charge points has been identified by the UK Government as one of the single greatest impediments to the mass public take-up of EVs, essential if the UK's targets for net zero are to achieved. Much of this dissatisfaction and worse comes from the array of poorly designed customer interfaces which each different charge point operator uses.We propose a solution to this problem by offering EV-owners a personalised, efficient and frictionless experience of recharging by deploying AI-based computer vision technology within each charge point. This will reduce total recharge times and remove the need for the motorist to interact with a confusing customer interface. The technology will read each vehicle's number plate then intelligently and securely process the customer's data: they will be able simply to drive up, plug in, recharge and go.One important feature of this intelligent technology is that it is socially inclusive. The removal of the need for the customer to interact with a physical interface means that those with physical or technological challenges for whom this presents particular difficulties will not longer be effectively excluded from public EV charging options.We are proposing a feasibility study for our technology which will feed into a 6 month pilot project in West London in an area of existing heavy customer demand - and currently heavy congestion owing to the inefficient recharging options there. Once proved, our technology can be sold to charge point operators for simple and cost-effective installation in their own growing national and international charge point infrastructure.

公共电动汽车充电站普遍糟糕的客户体验已被英国政府确定为大规模公众接受电动汽车的最大障碍之一，如果英国要实现净零目标，这一点至关重要。这种不满和更糟糕的情况主要来自于每个不同的充电点运营商使用的一系列设计糟糕的客户界面。我们提出了一个解决方案，通过在每个充电点部署基于人工智能的计算机视觉技术，为电动汽车车主提供个性化，高效和无摩擦的充电体验。这将减少总充电时间，并消除驾驶者与令人困惑的客户界面交互的需要。该技术将读取每辆车的车牌号码，然后智能安全地处理客户的数据：他们将能够简单地开车，插上电源，充电并离开。这种智能技术的一个重要特征是它具有社会包容性。客户无需与物理接口进行交互，这意味着那些面临物理或技术挑战的人将不再被有效地排除在公共电动汽车充电选项之外。我们正在提议对我们的技术进行可行性研究，该技术将在西伦敦进行为期6个月的试点项目，该项目位于现有大量客户需求的地区-并且由于那里的充电选择效率低下，目前严重拥堵。一旦得到证明，我们的技术可以出售给充电点运营商，在他们自己不断增长的国家和国际充电点基础设施中进行简单而经济的安装。