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Researchers Take Big-Data Approach to Estimate Range of Electric Vehicles
Researchers say they have developed a more accurate way to determine how far electric vehicles can go before needing a recharge, which they say should help allay 'range anxiety.'
Credit: NCSU News
North Carolina State University (NCSU) researchers say they have developed a more accurate way to determine how far electric vehicles can go before needing a recharge.
NCSU researchers Habiballah Rahimi-Eichi and Mo-Yuen Chow have taken a predictive, big-data approach to range-estimation. Rahimi-Eichi says their software requires drivers to first enter a destination, then pulls in data on several relevant variables, such as traffic, whether the route includes the highway or goes through the city, weather, and road grades. Data on the performance characteristics of the vehicle and its battery, and the amount of charge remaining in the battery also are entered into the algorithm. In addition, the researchers developed a technique to estimate the state of charge, which they say reduces the range estimation error to a couple of miles.
During testing, the researchers say they were able to get 95-percent range estimation accuracy in some case studies.
"People have a lot of 'range anxiety' in regard to electric vehicles--they're afraid they'll get stuck on the side of the road," Chow says. "Hopefully, our new range estimation software will make people more confident about using electric vehicles."
From NCSU News
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