Tesla improves queue predictions for Supercharger network

Tesla is using a new machine learning model to provide better queue predictions for its Supercharger charging network. According to the vehicle manufacturer, the model was trained with 14.4 million kilometers (9 million miles) of anonymized vehicle movement data in the vicinity of Superchargers worldwide. Because Tesla is simultaneously the charging network operator, the route planning provider, and the car manufacturer, Tesla has an advantage over other charging station providers in this regard. The German federal government plans to make charging easier and more transparent for all e-car drivers with the Master Plan for Charging Infrastructure 2030, regardless of the manufacturer.

According to Tesla, the new model specifically recognizes a vehicle's charging intention based on its travel history, even before it arrives at the Supercharger. The model feeds the trip planner in the vehicle, which is supposed to calculate routes to minimize the total travel time, including charging stops. According to Tesla, the error rate in queue estimation has been reduced to 20 percent in this way. In rare extreme situations with more than 10 vehicles waiting, this means a forecast deviation of only one to two vehicles.

Problem: When drivers don't just charge

One challenge was that many Supercharger locations are located near shopping centers, restaurants, and other places to spend time. As a result, charging stops often take longer than necessary for the onward journey. This has also been taken into account in the model. The vehicle movement data was determined by geofencing in the vicinity of the Superchargers. Tesla also announced further improvements that are already under development. Tesla's current Spring Update 2026 also brings numerous innovations for vehicles and software.

There were mixed reactions in the comments on the X post: Some wish for a queue order for Tesla vehicles so that individual drivers do not cut in line when a charging station becomes free during waiting times. Such a system is apparently already being tested. Especially at shopping centers, according to vehicle owners, there are sometimes small traffic jams that block other parking spaces. However, this is contrasted by the fact that Tesla has now opened its Supercharger network to other vehicles in many places, where such a waiting number could not be distributed via the navigation system. Other commentators suggested that Tesla should further expand its charging network and increase charging speed for vehicles in the future to reduce waiting times.

(mki)