EV ASSIST – Feasibility Study of Vehicle-User-Network Optimisation

**电动汽车助手--车辆-用户-网络优化的可行性研究**该项目的目的是评估“电动汽车助手”的技术可行性和商业潜力，这是一种个性化的出行助手，将利用人工智能和机器学习来增加电动汽车和基础设施的使用。每辆汽车被电动汽车取代后，每辆汽车减少的二氧化碳排放量约为133.1克/公里。更低的运行成本、更少的维护、更低的碳足迹和更清洁的空气，所有这些都将带来显著的社会、经济和环境效益。但电动汽车行业正在努力实现这些好处的必要采用。“里程焦虑”是电动汽车悖论的症结所在。潜在的电动汽车用户感觉无法获得充电站，这阻碍了他们改用传统的内燃机汽车，因为他们已经建立了燃料供应链。这可以通过增加充电点基础设施来解决，但目前运营商无法捕获细粒度需求，这是计算投资回报的关键。英国政府目前正在买单，提供税收优惠、拥堵和清洁空气区优惠，以推动电动汽车的采用。这是昂贵和不可持续的。电动汽车辅助将旨在使电动汽车车主和充电站基础设施运营商之间就近期充电要求和充电基础设施在任何给定时间的可用性进行实时信息交换。成功实现电动汽车辅助可以改善乘坐电动汽车出行的整体客户体验，直接解决里程焦虑，并通过优化每个客户的利用率帮助运营商从充电资产中获得最大价值。总而言之，这些支持电动汽车辅助的成果可以为支持英国在未来十年的电动转型做出重大贡献。合作伙伴已经制定了一个为期6个月的研究计划，通过桌面研究、电动汽车社区参与、以及概念验证测试练习，询问：*电动汽车辅助如何才能最有效地获取和共享信息？*如何激励最终用户与运营商分享他们的电动汽车出行需求？*运营商如何最有效地利用电动汽车辅助产生的需求预测？*如何扩大电动汽车辅助并将其用于商业目的以达到最佳效果？*电动汽车辅助对英国政府的“归零之路”战略有何确切影响？该项目由伯明翰的出行需求和路线优化平台‘You’牵头。聪明。这件事。(YST)，并得到西米德兰兹郡运输公司(“TfWM”)的支持，该公司是整个地区收费点资产的所有者和运营商。

**EV Assist -- Feasibility Study of Vehicle-User-Network Optimisation**The aim of the project is to assess the technical feasibility and commercial potential of "EV Assist", a personalised travel assistant that will use artificial intelligence and machine learning to increase use of electric vehicles and infrastructure.Every car that is replaced with an electric vehicle contributes a CO2 saving of around 133.1g/km. Lower running costs, less maintenance, a lower carbon footprint and cleaner air all add up to significant social, economic, and environmental benefits. But the EV industry is struggling to achieve the necessary adoption to realise these benefits.'Range anxiety' is at the route of the EV paradox. A perceived lack of access to charge points among would-be EV users, discourages them from switching from traditional combustion engine vehicles, with their established fuel supply chain. This could be overcome with additional charge-point infrastructure but currently operators have no means of capturing granular demand, which is key to calculating return on investment.The UK Government is currently picking up the bill, offering tax incentives, congestion and clean air zone concessions to drive EV adoption. This is costly and unsustainable.EV ASSIST will be designed to enable real-time information exchanges between electric vehicle owners and charge point infrastructure operators regarding near-term charging requirements and the availability of charging infrastructure at any given time.The successful realisation of EV ASSIST can improve the overall customer experience of travelling by EV, directly addressing range anxiety, and helping operators extract maximum value from their charging assets by optimising utilisation per customer. In combination, these EV ASSIST enabled outcomes can make a significant contribution to supporting the UK's electric transition over the next decade.A 6-month research programme has been put together by partners to investigate vehicle-user-network optimisation through desktop research, EV community engagement, and Proof-of-Concept test exercises asking:* How can information be most efficiently captured and shared by EV ASSIST?* How to incentivise end-users to share their EV travel requirements with operators?* How can operators most effectively exploit EV ASSIST generated demand forecasts?* How to scale and commercially exploit EV ASSIST to best effect?* What is the precise impact EV ASSIST can have on the UK government's "Road to Zero" strategy?The project is led by Birmingham-based travel demand and route optimisation platform 'You. Smart. Thing.' (YST) and supported by Transport for West Midlands ("TfWM"), owner and operator of charge point assets across the region.