The lack of charging infrastructure is the #1 contributor to EV drivers’ range anxiety, and accurate range prediction is the cornerstone of every EV trip. To mitigate EV range anxiety, machine learning algorithms help to enhance prediction accuracy and yield far more consistent results than traditional physics-based modeling.
None of the physical-based EV range predictions can consistently provide accurate results. An intelligent vehicle system that learns one's driving pattern and fuses real-time car sensors can predict EV battery consumption more accurately.
The in-car EV range estimation is every now and then off by a stunning 20-30% across the board, not nearly accurate enough to make drivers feel safe.
Range anxiety is still a widespread issue among EV owners and the ones looking to switch to EV. We leveraged machine learning to mitigate the problem and reassure drivers on exactly how much range they’ve got left, and learned quite a bit in the process.