AI technology company Spark EV Technology has claimed its electric vehicle range prediction system is more accurate than EV range read-outs.

The company said it came to this conclusion after partnering with BP, with drivers travelling 10,000kms in EVs fitted with its journey prediction software.

As part of the testing phase, drivers entered their proposed journey into Spark’s smartphone application to record data and make comparisons with the onboard range display. They then received personalised advice on whether they could complete it based on live data, driving style, urban/country routes, previous trips and charge point locations.

spark-IOT_sml_0

Spark added its tool would help to eliminate ‘range anxiety’ which is a major barrier to people switching to electric vehicles and said its software “overcomes these fears and increases driver trust that they will be able to get to their destination without needing to recharge.”

The firm said its algorithms learns with every journey meaning it continually improves the accuracy of personalised journey predictions.

During the trial, Spark said it was observed that one car could have driven 45 miles more than its displayed range, and on another journey an extra 21 miles more range had to be used to complete the journey than the car predicted. In comparison, the firm’s range prediction for the same journeys predicted the range to an accuracy of 3.8 miles and 0.4 miles respectively.

“At Spark our mission is to make electric vehicles mainstream by removing barriers to adoption around range and time anxiety,” said Justin Ott, CEO of Spark Technology. “Through our collaboration with BP we have taken the first steps to demonstrate the strength of our unique technology and how it can drive greater uptake of EVs through more accurate range predictions, based on real-world conditions and driving styles.”