Delivering a connected future for motoring - a case study of limited mobile signal coverage on public electric vehicle chargepoint use

This isn’t just a matter of convenience, it is a potentially significant issue for achievement of a number of government ambitions, including the path to net zero and the promotion of safer roads. [...] It follows that the scope for experiencing a failed connection grows the more the number of connections required, and such a failure will give the driver the understandable impression that the charger is not working, when in reality it might be in fully functional condition but unable to work for that driver due to the absence of one or other of the mobile signal services required to close the cir. [...] As this report is meant to serve as a demonstrator, the report uses sampling of chargers to provide indicative results on the issue of mobile connectivity at chargers and to demonstrate the practicality of the methods used. [...] So, from the NCR, two sample cuts of the data are produced: • a sample of London that is based on all the EV chargers within a random 7% sample of all the H3 hexes (at zoom level 11) in London that have 3.7kW to 7kW Type 2 chargers (from BP Pulse, POD Point, GeniePoint, char.gy, Mer, blink, ubitricity, Connected Kerb, Source London), and • a sample of Great Britain (excluding London) that is based. [...] This produces, for each API call, a full account of real-world, crowd-sourced data for a given MNO at a given location for 4G, including maximum, minimum and mean signal strength (in dBm12), the number of devices contributing to that result, and the distance from that site to the location of any data used for interpolation (for locations where data is interpolated).