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PHOTO CAPTION: EOLAS-EV smart phone app.

More Accurate Range Prediction Algorithm To Aid Electric Car Drivers

Abalta’s EOLAS-EV polygon-based algorithm integrates real-time on-board energy consumption and regeneration data as well as factors such as street slope and historic and real-time traffic data to provide more accurate mapping.

Published: 17-May-2013

It’s not hard for electric car drivers to imagine this situation. Your battery’s state-of-charge is at about one-third, and you are called upon an unexpected errand. The range-guess-o-meter on your car's dash says you can barely make it without charging, but you know it's not reliable. Do you really have enough juice? A new cloud-based application from Abalta Technologies promises to give you a more definitive answer.

Rather than having to program in your destination, EOLAS-EV displays different colored polygons overlaid on a map. They show you how many miles are left on your battery and where you could go on that charge.

“Imagine you jump into an EV that has this solution,” Abalta president and CEO Michael O’Shea told PluginCars.com. “Today, you see a number, perhaps a battery icon that has the remaining capacity. Not very useful. We are proposing that you see a map, a polygon, and it tells you how far you can go. If you turn on the heater or air conditioner the polygon shrinks.”

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