Fast car chargers are great – until they finish before you do. Many electric vehicle (EV) drivers face the awkward “lunch break” problem: your car is charged, but you’re still eating, risking idle fees and blocking others.

In this project, the goal is to design concepts and service demos that address this and similar challenges by using data to create a more human-centric charging experience. How might we develop a more seamless and intuitive EV “smart charging” service that understands the driver’s current situation or overall trip? The team will have access to an extensive real-world database of charging-related data points and can combine this with other data sources to make the service more intelligent.

We are seeking innovative concepts and prototypes that demonstrate how data can be used to build a more intelligent and user-friendly EV charging ecosystem. The ideal solution will not only solve the "lunch break" problem but also open up new possibilities for context-aware services that make owning and operating an EV more enjoyable and stress-free.