Electric Vehicles Can Now Accurately Predict Remaining Range, Empowering Drivers.
The article explores how the internal battery resistance of electric vehicles affects the accuracy of range estimation. By combining a vehicle consumption model with a battery prediction model, the researchers developed a method to predict internal battery losses based on energy consumption. They found that these losses vary based on factors like battery temperature and state of charge, leading to inaccuracies in current range estimation algorithms. The proposed method aims to reduce these inaccuracies by predicting internal battery losses more accurately.
