AI Squared: AI enhancements for Anti-ICEing solution

AI Squared：Anti-ICEing 解决方案的人工智能增强

• 批准号: 10079435
• 金额: $ 6.37万
• 依托单位: S4EV LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10079435
• 关键词: AI; Squared; enhancements; Anti; ICEing

The UK Government has committed £1.6 billion to expand public electric vehicle charging infrastructure to further decarbonise transportation as part of net-zero targets until 2030, in response to rapidly increasing electric vehicle sales.EV charging networks and Local Authorities require efficient management of their charging infrastructure to provide satisfactory service to EV drivers as well as maximise their revenue. Additionally, many business drivers like taxis and couriers rely on high availability of charging infrastructure to minimise downtime, reduce journey times, and maximise revenue. With high demand for charging infrastructure in some areas, ensuring its availability when required is of vital importance.However, some EV charging infrastructure is routinely inaccessible due to bay-hogging (overstaying of EV vehicles after they are fully charged) or ICEing, which describes the process of an non-electric vehicle using the charging bay as parking bay. Access to electric vehicle charging infrastructure is crucial for the widespread adoption of EVs and the decarbonization of transportation.However, state-of-the-art solutions have thus far typically used fixed hardware, which is costly to install and maintain, and have been heavily reliant on human operators to manually capture, evaluate and enforce evidence prior to issuing a penalty charge notice.In response to this, Charge Saint has been developed. Charge Saint is an innovative mobile app that allows EV drivers to report ICEing and bay blocking incidents. Charge Saint is collecting an increasing number of citizen-generated, high-quality reports, but the verification of these reports is largely a manual process. There is a need to streamline the report verification process and minimise the time required for verification of ICEing and bay blocking incidents by a human operator, ultimately enhancing efficiency of Charge Saint and the uptake of the solution.An AI-based information verification system is proposed for Charge Saint to streamline the report verification and enforcement process. This system will minimise the requirement for human verification and thus make Charge Saint less resource intensive for charging networks and cash strapped Local Authorities. This shall in turn ensure that Charge Saint not only generates and protects revenue from charging infrastructure, but shall reduce the personnel time and costs associated with the solution, while ensuring improved access to EV charging infrastructure to accelerate EV adoption.

为了应对快速增长的电动汽车销售，英国政府承诺投入16亿英镑扩大公共电动汽车充电基础设施，以进一步使交通脱碳，作为到2030年实现净零排放目标的一部分。电动汽车充电网络和地方当局需要有效管理其充电基础设施，为电动汽车司机提供满意的服务，并最大限度地提高其收入。此外，许多业务驱动程序，如出租车和快递，依赖于充电基础设施的高可用性，以最大限度地减少停机时间，减少行程时间，并最大限度地提高收入。由于一些地区对充电基础设施的需求很高，确保其在需要时可用性至关重要。然而，一些电动汽车充电基础设施通常无法使用，原因是停车位占用（电动汽车在充满电后超时停留）或icing（非电动汽车将充电台用作停车台的过程）。获得电动汽车充电基础设施对于电动汽车的广泛采用和交通运输的脱碳至关重要。然而，到目前为止，最先进的解决方案通常使用固定硬件，安装和维护成本很高，并且在发出罚款通知之前，严重依赖人工操作员手动捕获、评估和执行证据。针对这一点，Charge Saint被开发出来。Charge Saint是一款创新的移动应用程序，可以让电动汽车司机报告结冰和拥堵事故。Charge Saint正在收集越来越多的公民生成的高质量报告，但对这些报告的核查主要是一个人工过程。我们需要简化报告验证流程，并尽量减少人工操作员验证结冰和封舱事件所需的时间，最终提高Charge Saint的效率和解决方案的采用。为“收费圣徒”提出一套以人工智能为基础的资料核实系统，以简化举报的核实及执行程序。该系统将最大限度地减少对人工验证的需求，从而使Charge Saint减少了充电网络和资金紧张的地方当局的资源密集程度。反过来，这将确保Charge Saint不仅能够从充电基础设施中产生和保护收入，还可以减少与解决方案相关的人员时间和成本，同时确保改善电动汽车充电基础设施的使用，以加速电动汽车的普及。