Google Maps adds AI-based EV route planning to Android Auto

Source Domain: www.electrive.com

The approach enables route planning without direct vehicle data integration. Instead, users manually input their starting state of charge, after which the system dynamically updates projections based on driving conditions and charging events. The company says this allows it to scale the feature across a broad vehicle base, including models that do not offer native route planning.

After entering vehicle details such as make and model in the app, drivers can set a destination and view projected battery consumption for the journey. By adding the current state of charge, Maps generates recommended charging stops, including timing, duration and estimated battery level on arrival, alongside an updated estimated time of arrival.

Google states that the system relies on a combination of artificial intelligence and energy modelling to deliver accurate predictions across a wide range of vehicles.

“To deliver accurate battery predictions for hundreds of vehicles, we combine AI with advanced energy models that analyse car details — like weight and battery size — alongside Maps’ real-time information about traffic, road elevation and weather,” the company said.

With the update, Google is positioning Maps as a central interface for EV navigation, reducing reliance on third-party applications. The company notes that ‘Maps will recommend when and where to charge based on your EV model and battery level, reducing range anxiety and the need to juggle multiple apps.’

The rollout is underway across hundreds of EV models in the US, including vehicles from brands such as BMW, Hyundai, Mercedes-Benz and Volkswagen. Google indicates that additional models and markets will follow.

blog.google, insideevs.com

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