AI helps city planners build EV charging network
Mobility & Transport
An algorithm forecasts demand to maximise location efficiencies
Spotted: In many countries, the infrastructure needed to support a comprehensive electric vehicle (EV) industry is lagging behind the driving technology. The result is a confusing mix of charging points that rarely seem to be part of a coordinated network. As part of the move to improve customer experiences, UK software company Evotrack has developed an algorithm that predicts future charging demand and monitors current usage.
Designed for use by city planners and logistics managers, the tool helps governments and businesses maximise use per station while maintaining the smallest possible footprint for each location. By better understanding traffic flows and patterns in energy demand, organisers can choose the type of charger best suited to the local community’s EV needs.
Evotrack points to continued development of EV batteries as an important reason to continuously monitor charging station usage. As batteries become larger and stronger, and storage more efficient, charging requirements are likely to change again. As a result, data will be ever more important for servicing rural areas and for making the switch from petrol to electric as smooth as possible.
Finding ways to make take-up of EVs easier and more pleasant is the focus of several innovations Springwise has spotted, including a portable personal charger and a charging station that includes a number of additional services and amenities.
Written by: Keely Khoury
27th June 2022
Email: oytun@evotrack.co.uk
Website: evotrack.co.uk