New tech to remove electric vehicle range anxiety launches

Aimed at fleet operators moving to electric vehicles (EVs), Spark EV has unveiled its new artificial intelligence-based journey prediction telematics solution.

Spark EV is expected to enable vehicles to complete more journeys between charges, removes range anxiety and enable greater fleet utilisation, with up to 20 per cent more journeys completed between charges.

The technology analyses live driver, vehicle and other data sources, such as the weather and congestion, and then uses its advanced AI software algorithms to increase the accuracy of journey predictions for electric vehicles.

Using machine learning, Spark EV automatically updates predictions after each journey, continually improving efficiency.

Drivers and fleet managers simply enter their journey through the app, Spark EV’s web interface, or their existing fleet management software, and it advises whether they will be able to complete it, based on live data, previous trips and chargepoint locations.

This delivers reassurance to fleet managers and drivers that they will be able to schedule and complete jobs without running out of charge, removing range anxiety while increasing the amount of potential vehicle journeys by an additional 2.8 per day.

“Fleet managers understand that the future increasingly revolves around electric vehicles, due to new legislation coming into force around the world, a move away from diesel and rapid growth in EV sales,” said Justin Ott, CEO, Spark EV Technology.

“However, existing methods of predicting range between charges are not accurate enough for fleet use, leading to range anxiety and a consequent drop in productivity as managers cut back the number of journeys to avoid potentially running out of power.”

Delivered through a monthly subscription model, Spark EV easily integrates with existing fleet management/scheduling systems through its open API, or can be used as a standalone solution for smaller fleets and can be installed with all current EVs.