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.

英国政府已承诺投入16亿英镑用于扩建公共电动汽车充电基础设施，以进一步实现2030年前的零碳运输目标。电动汽车充电网络和地方政府需要有效管理其充电基础设施，为电动汽车驾驶员提供满意的服务，并最大限度地提高收入。此外，许多商务司机，如出租车和快递员，都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，缩短行程时间，并最大限度地提高收入。由于某些地区对充电基础设施的需求很高，因此确保其在需要时的可用性至关重要。然而，由于bay-hogging（电动汽车充满电后逾期停留）或ICEing（非电动汽车使用充电站作为停车场的过程），一些电动汽车充电基础设施通常无法使用。电动汽车充电基础设施的接入对于电动汽车的广泛采用和交通的脱碳至关重要。然而，迄今为止，最先进的解决方案通常使用固定的硬件，安装和维护成本高昂，并且严重依赖人工操作员在发出罚款通知之前手动捕获，评估和执行证据。为了应对这一点，我们开发了Charge Saint。充电圣是一个创新的移动的应用程序，允许电动汽车司机报告ICE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，但这些报告的核实主要是一个人工过程。有必要简化报告验证流程，并最大限度地减少人工操作员验证ICE和海湾阻塞事件所需的时间，最终提高Charge Saint的效率和解决方案的采用率。建议为Charge Saint提供基于AI的信息验证系统，以简化报告验证和执行流程。该系统将最大限度地减少对人工验证的要求，从而使充电圣减少充电网络和现金短缺的地方当局的资源密集型。这将反过来确保Charge Saint不仅可以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，同时确保改善对电动汽车充电基础设施的访问，以加速电动汽车的采用。