The method allows for route planning without the need for direct integration of vehicle data. Instead, users are required to manually enter their initial state of charge, after which the system updates projections dynamically based on driving conditions and charging events. The company claims this enables the feature to be scaled across a wide range of vehicles, including those that do not support native route planning.
Once drivers input vehicle information such as make and model into the app, they can specify a destination and see projected battery usage for the trip. By including the current state of charge, Maps provides suggested charging stops, detailing timing, duration, and estimated battery level upon arrival, along with an updated estimated time of arrival.
According to Google, the system utilizes a blend of artificial intelligence and energy modeling to produce accurate predictions for a diverse array of vehicles.
“To provide precise battery forecasts for numerous vehicles, we integrate AI with sophisticated energy models that evaluate car specifications — such as weight and battery capacity — in conjunction with Maps’ real-time data on traffic, road elevation, and weather conditions,” the report stated.
With this update, Google is positioning Maps as a primary interface for electric vehicle navigation, thereby decreasing dependence on third-party applications. The company emphasizes that ‘Maps will suggest when and where to charge based on your EV model and battery status, alleviating range anxiety and minimizing the need to manage multiple applications.’
The rollout is currently in progress across hundreds of electric vehicle models in the United States, including those from manufacturers like BMW, Hyundai, Mercedes-Benz, and Volkswagen. Google has indicated that more models and markets will be added in the future.