MarkR
Member
While the Big Brother aspect of owning a Tesla kinda creeps me out, their ability to monitor energy utilization between map points would suggest that the data is already available to fairly accurately predict the distance that is likely to be traveled with a given level of charge. Yes, I know that load weight and wind are not collected and am aware that driving habits will vary, but info like speed, acceleration patterns, time, GPS coordinates, and heater/ac use could be collected (and probably are). I'd imagine that it would be easy to predict the energy needed between most any two coordinate within the navigation system and the accuracy would improve as more Model S owners travel any given route. For that matter, the driving patterns of individual users could become a variable in a prediction algorithm that further enhances accuracy.