Spark EV Technology has announced its collaboration with BP that provided real-world trials which validated its advanced range prediction system for electric vehicles (EVs).

The project saw BP employees based at five locations drive 10,000 km in two types of EVs equipped with Spark’s journey prediction solution and supplied by Zipcar and Avis Budget Group.

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.

According to Spark range and time anxiety are key factors that are holding back drivers and businesses from buying EVs. By delivering more accurate range predictions, based on actual driving style, topography and current atmospheric conditions, Spark’s proprietary technology aims to overcome these fears and increases driver trust that they will be able to get to their destination without needing to recharge. As Spark’s AI algorithms learn with every journey, it hopes to continually improve the accuracy of personalised journey predictions. 

During its trial with BP, Spark said that 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, Spark intelligent range prediction uses data on where the car is going, not where it has been, and for the same journeys predicted the range to an accuracy of just 3.8 miles and 0.4 miles respectively. 

Sophia Nadur, Innovation Director, BP said, ‘Our trial with Spark EV helped to increase our understanding of how technology could help reduce consumer range anxiety, especially for new EV drivers.’

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