Range anxiety has always been one of the critical issues affecting electric vehicle
commercial penetration and customer acceptance. Current electric vehicle range estimation
methods generally fall into two categories: model-based methods and data-driven methods.
The former requires all vehicle-specific parameters, whereas the latter relies on past energy
consumption data. This paper integrates the advantages of the two approaches. It compares
three different combinations of variables used as inputs for online machine-learning …