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.

英国政府已承诺16亿英镑扩大公共电动汽车充电基础设施，以进一步脱碳，直到2030年，作为净零目标的一部分，以响应迅速增加的电动汽车销售。EV充电网络和地方当局需要有效地管理其充电基础设施，以提供令人满意的服务，以提供令人满意的服务，并获得最大的收入。此外，许多企业驱动因素（如出租车和快递员）都依靠高度充电基础设施的可用性来最大程度地减少停机时间，减少旅行时间和最大收入。在某些领域对基础设施充电的需求量很高，确保其在需要时至关重要。但是，由于凸起的（充分充电后，造成电动汽车的逾期施加），通常无法访问某些电动汽车充电基础架构，或者描述了使用非电气舱的非电气车辆的过程。访问电动汽车充电基础设施对于公布电动汽车的宽度和运输脱碳至关重要。 Charge Saint是一款创新的移动应用程序，可让EV驱动程序报告冰雪和海湾阻塞事件。 Charge Saint正在收集越来越多的公民生成的高质量报告，但对这些报告的验证在很大程度上是手动过程。有必要简化报告验证过程，并最大程度地减少人类操作员验证冰冰和开放式封锁事件所需的时间，最终提高了电荷圣徒的效率，并采用了解决方案。基于AI的信息验证系统提出了用于简化报告验证和执法过程的电荷信息以使Saint Saint Saint。该系统将最大程度地减少对人类验证的要求，从而减少对圣徒的收费，以减少对网络和现金束缚的地方当局的收费。这反过来又应确保对圣徒的收费不仅产生并保护收入免受收费，而且还应减少与解决方案相关的人员时间和成本，同时确保改善获得EV充电基础设施以加速EV采用EV的访问权限。