Increasing the speed of uptake of electric vehicles is crucial to meeting net-zero goals(Gov2023). Overcoming data sharing issues would help to alleviate key barriers to uptake and improve infrastructure planning. The fleet and leasing markets collect significant amounts of telematics data, but the ability to maximise the value of it is limited by an inability to make it available to third-party solution providers. Transport Systems Catapult(2023) estimate economic loss caused by data sharing issues in the UK transport market is £43.4bn/year. If CATEVNA unlocks 1% of lost productivity and 3% insurance costs by overcoming privacy and security issues, it will unlock over £400m of revenue. A major issue keeping vehicle leasing prices higher is the lack of available data on vehicle condition and performance through its lifetime(Krishna 2021). Leasing costs could be reduced if it was easier to make key data available outside the organisation to companies who can complete these assessments. While telematics in vehicles gather much of the required data, lease/fleet companies are unable to make the data available due to a range of issues. These typically fall into three main categories: 1. Commercial sensitivity of location data of vehicles 2. Privacy issues of employees/private lease clients, centred on tracking their movements, driving style and in-vehicle activity. 3. Limited control mechanisms for data sharing permission, particularly with telematics-based solution, often resulting in an 'all or nothing' consent option which introduces significant barriers to sharing. These barriers prevent independent assessments which could transform the market. CATEVNA seeks to overcome these barriers by creating a platform to collect relevant data which is not currently accessible to third parties. This data is then codified and processed to translate the anonymised data to useful data for a specific application. This means sensitive data is never shared outside the company, but the required outputs can still be obtained to enable the health check to take place. Outputs: \*Feasibility study which details the market needs, business case, legal/regulatory issues and potential technical solutions to roadmap a demonstrator project \*Proof of concept test solution to validate the technology principles will achieve the intended goals

Increasing the speed of uptake of electric vehicles is crucial to meeting net-zero(Gov2023). Cars/taxis account for 56% of UK transport emissions(DfT 2023). Range anxiety remains a key barrier to EV transition, with 58% of potential new car buyers held back by range anxiety(Volvo 2020). The issue becomes more pertinent in the second-hand EV market, where battery degradation causes vehicles to lose range - a concern holding back 62% potential used EV buyers (GFI 2023) and accurate data on the vehicle and condition is harder to access which increases buyer concerns. World Economic Forum(2021), Herberz et al(2022), Kwikfit(2020) report similar findings. Unlocking the second-hand car is critical to EV uptake. GFI(2023) suggests the used market can boost EV uptake by 17m if barriers to consumer confidence are overcome. While producing our core product, the ClearWatt solution, which seeks to assess the performance of a real vehicle by tracking key metrics which impact performance, we discovered that wheel size/ design is rarely discussed in range discussions but plays an important part in the metric, potentially impacting by over 15%. WIRE seeks to rectify the solution by utilising AI to collect the required data on the new features with a simplified collection method and uses AI to match the key feature markers to the range impacts. It will enable this information to interface with the wider ClearWatt algorithm, which will then factor these features into the range estimator. WIRE supports customers to capture vital information which impacts vehicle range with minimal effort. Key innovations: 1)Innovative AI solution to process the parameters against the database and identify appropriate characteristics, informing range estimates 2)Creation of an innovative data capture tool which enables use from everyday mobile devices with no bespoke functionality Business productivity will be improved by reducing manual time to extract the data from 26mins per car to 30 seconds, saving the team hundreds of person-days as the solution scales, reducing support calls and customer bounce rates.

The impact of V2G on EV battery degradation was found by Guo (2019) to be the primary concern about V2X activity for most EV users. It frequently features as a key reason for end users to be unwilling to undertake V2X activities (van Heuveln 2021, V2Street 2020, Guidehouse 2021). Battery experts have conflicting perceptions on the impact of degradation. Uddin 2017 suggests positive impacts, Duberry 2017 suggested it was detrimental while Tchagang (2020) thought it was beneficial if optimised effectively. Consumer perception will provide significant barriers without tools to overcome the concerns and reassure them (Noel 2019). Without customer engagement, V2X will be unable to reach mass-market and provide the necessary support for decarbonising homes/building/grid (Gschwendtner 2021, Element Energy 2019), estimated to be 50GW capacity potential by 2050 (OFGEM 2021, National Grid 2021). Not undertaking V2X activity means the customer could lose out on £400-600 of potential savings/revenue generate by V2X models (Cenex 2022), while every V2G-enabled EV can save the grid operational cost of £12k/year and 60 tonnes/year CO2 (Chademo 2021). BEVScanV2X seeks to overcome these challenges by creating a cost-effective tool to monitor battery health and advise optimal approaches to maximise battery life and financial returns from V2X. It will apply innovative algorithms across data obtained from the vehicle and battery to provide the most accurate health assessment possible outside of a battery test lab. This will support customers to increase V2X uptake by removing their concerns and breeding confidence that they are optimising their battery health.

BEVscan aims to improve the user experience throughout the secondary EV market by providing the buyer and seller of a used EV with robust data regarding the health of the car battery. The value of second-hand electric vehicles is inherently linked to the battery SoH (State of Health). BEVscan will assess the feasibility of measuring SoH when an electric vehicle is due to be sold using key metrics such as overall battery degradation, number of historical charge cycles (on different types of charger) and a number of other key indicators that highlight the profile of current and future battery performance. It combines the development of an on-board hardware device plugging into the OBD with a software solution to interpret the findings to provide consistency of results across brands. Key objectives of BEVscan include: 1. Detailed research to determine all available data streams available across OEMs/models to design a consistent benchmark standard for SoH. 2. Hardware feasibility study to determine the best approach to gathering data, optimise readings and determine independent verification of the SoH. 3. Test software proof of concept to determine most effective communications approaches for sharing data to cloud and secure storage approaches 4. Detailed market assessment to validate routes to market

The UK will ban all sales of new diesel and petrol cars by 2040 (DEFRA,2017). The adoption of Electric Vehicles (EVs) could add c.30GW to UK peak demand by 2050 (National Grid, 2017), requiring significant upgrades to the UK's electricity grid, costing 'tens of billions' (ESC, 2018). This can be reduced to around 8GW with smart charging technologies, including the integration of charging and battery storage (National Grid, 2018). Vehicle-to-grid offers potential revenue streams to boost the business case for chargers. Limiting factors in accessing grid services are unpredictability of vehicle plug-in at optimum times for grid services. Required charger response times to access the most valuable markets (FFR) limit are unlikely to be met with existing products due to the need for communications between the market signal, charger and car before the energy flow can commence. This risk limits the applicability of the V2G model in the market. In this project, Agile intend to overcome many of those issues through testing the feasibility of new V2G developments with battery-enhanced chargers. It will explore the development of optimisation algorithms which improve the response times for key markets and mitigate potential unavailability of vehicles for charging without impacting the grid services.

E-mobility is set to be a cornerstone of future low carbon travel. EVs currently make up about 1% of global vehicle sales, but EV penetration is forecast at 35-47% of new cars by 2040 (BNEF, 2017). By 2030, EV sales are expected to account for 60% of UK new car sales, but mass electrification of mobility still relies on improved access to charging services. E-mobility innovators Agile Impressions and artificial intelligence experts creators of Verv Green Running, designed a novel solution intended to meet the market need for improved EV charging services. The consortium seek to explore the potential for a Blockchain Enabled Controller for E-Mobility Sharing (BECEMS). BECEMS allows private charging station owners to share their charging assets with others and do the billing, by connecting it to a network accessible to the public. Businesses, communities and individuals just have to register and set times when their private charging point is free for use, improving utilisation factors and therefore returns on investment for existing and new charging assets. This feasibility study validate and refine the technical and commercial potential of BECEMS, applying cutting edge technology to improve the user experience and economics of EV charging infrastructure.

"At 40% EV market penetration, 32% of UK local electricity networks will require intervention, with an estimated cost of £2.2bn by 2050 (EA Technologies). Clusters of EVs, such as EV car clubs' hubs, have a more significant impact on the local grid, especially when looking at peak demand, harmonics and voltage violations. V2G has the potential to reduce low voltage network upgrade requirements. In today's perspective, DNOs have no ability to harness V2G to adjust load in localised areas to avoid network faults or support in recovery from network outage/black start circumstances. In order to meet the market need for a cross sector solution, Agile Impressions (AI), Green Running (GR) and E-Car Club (E-Car) seek to establish feasibility for a Blockchain Enabled Vehicle to Local Grid (BEV2LG), implementing GR's emerging blockchain technology in the e-mobility sector, where EC and AI have a strong record delivering business-minded innovation. BEV2LG will enable EV fleet owners to export electricity back to the grid when most needed by local grids and do billing, creating a platform in which EV fleet owners can provide grid balancing services to local networks operators (DNOs) through blockchain technology. This guarantees e-mobility to benefit from: high interoperability across stakeholders, secure permissioned interaction so that various stakeholders work on one value chain, no single point of failure (decentralized, transparent, redundant and secure), and pay-as-you-go microtransactions to be profitable (no middle man). This feasibility study validates the technical and commercial potential of BEV2LG, applying cutting edge technology to unlock V2G services to benefit local networks."

From 3,500 electric vehicles ("EVs") sold in 2013, the UK market has surged to >76,000 sales by 2016 (Next Green Car). Expected to account for 60% of UK new car sales by 2030, mass electrification of mobility poses considerable changes for electricity networks, an extra 20GW of peak demand (EFES). In order to meet the market need for a synergised solution responsive to cross sector demand needs, e-mobility innovators Agile Impressions have designed a novel solution intended to meet the market need for EV electricity demand management - an electric vehicle charge point with integrated battery storage ("EVstor") . A proposed feasibility study will undertake a complimentary package of technical and commercial development research to refine an initial concept, validate feasibility and synergise the proposition with the emerging market need.

From 3,500 electric vehicles ("EVs") sold in 2013, the UK market has surged to >76,000 sales by 2016 (Next Green Car). Expected to account for 60% of UK new car sales by 2030, mass electrification of mobility poses considerable changes for electricity networks, an extra 20GW of peak demand (EFES). E-mobility innovators Agile Impressions and E-Car Club, the UK's first fully electric pay as you drive car club, designed a novel solution intended to meet the market need for EV electricity demand management - Storage Enabled Vehicle Charge Point ("SEVCP"). A proposed feasibility study will undertake a complimentary package of technical and commercial development research to refine an initial concept, validate feasibility and synergise the proposition with the emerging market need.

Agile Impressions (AI) is a social enterprise intent on making e-mobility accessible to all by integrating the latest innovations in vehicle and charging technologies with alternative revenue models to lessen the upfront costs typically associated with e-mobility. A viable alternative to cars on account of longer journey capabilities and lack of physical exertion required, electric bikes (e-bikes) offer a promising low carbon travel option. However, as with electric cars, usage is subject to charging station access, currently underdeveloped in the UK. E-bikes, generally fitted with detachable batteries, normally offer a range of 20-50km. AI has developed a prototype design for a solar powered e-bike charge station (SPEBCS) that can be installed at public/commercial premises to provide cyclists with a convenient means of charging, displacing the need for cyclists to carry their own charger with them as they travel. SPEBCS allows cyclists to receive a newly charged battery upon deposit of their ‘used’ battery, preventing charging requirements from hampering on-the-go cyclists. The two-tiered unit holds 12 battery capsules on each tier, with charging leads on the upper. When charged, batters are released to the lower tier ready for collection. SPEBCS draws power from photovoltaic cells on rotation to maximise radiation capture and generation potential, ensuring e-bikes maximise their carbon savings. The unit’s outer case displays advertising content in prime locations, offering an additional revenue stream. AI exploits maturing battery technology, public support for e-mobility and sharing economy business models to devise an attractive proposition for cyclists, investors and channels to market. Successful deployment requires coordination among stakeholders and detailed market research. This study’s objective is to prove our value proposition, qualify technical feasibility, and produce a technology development plan prior to securing Proof-of-Concept funding