Spark EV is a new AI-based journey prediction telematics solution designed to help fleet EVs complete more journeys between charges, enabling greater fleet utilization.

A combination of sensor technology, cloud-based analysis software and a smartphone app, Spark EV analyzes live driver, vehicle and other data sources, such as weather and congestion, then uses software algorithms to increase the accuracy of journey predictions. Using machine learning, Spark EV automatically updates predictions after each journey, continually improving efficiency.

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

Sold as a monthly subscription, Spark EV is designed to easily integrate with existing fleet management/scheduling systems through its open API, and can also be used as a standalone solution for smaller fleets. It can be installed with all current EVs.

“Fleet managers understand that the future increasingly revolves around electric vehicles,” said Spark EV Technology CEO Justin Ott. “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. Spark EV increases productivity through more accurate predictions that enable 20% more journeys between charges.”

Source: Spark EV Technology