While there is no definitive number, reports suggest that EVs can generate as much as 25 gigabytes an hour to over 30 terabytes daily, depending on their usage. As such, EVs are essentially computers with wheels.
Due to the wealth of data generated, connected vehicle apps are enormous data sources that can be translated into intelligence. OEMs and aftermarket providers can use this abundance of data in the future to deliver compelling connected apps that have gamification elements such as challenges, rewards and milestones to promote eco-friendly driving habits amongst consumers. OEMs can also create in-app milestones and rewards for customers who complete specific sustainability-related objectives while also collecting and analyzing vehicle performance data and energy consumption.
Looking beyond the vehicle, automakers can also leverage connected car data to enter into collaborative partnerships with dealerships to conduct eco-friendly driving workshops and promote eco-friendly driving features within the OEM's vehicles.
Recent advancements in technology, such as AI (artificial intelligence), also allow OEMs to utilize their collected data further. OEMs can use AI to provide an analytical summary of the terabytes of raw data that is collected from the car. Once the raw data has been analyzed, OEMs can use this data for a myriad of purposes, such as predicting energy usage and driving patterns to suggest when to charge a car so it has enough energy to sustain the expected journey. Additionally, automakers can use this data to improve future EVs or influence other areas, such as charging infrastructure or battery design.
Third parties harnessing that analyzed data can also use this to help with the strategic positioning of charging stations. One of the biggest remaining obstacles to EV adoption in the North American market is range anxiety; using this data can help provide more information to consumers and manufacturers regarding battery degradation and usage. Additionally, the development of longer-running batteries allows for a greater adoption of EVs.
Finally, connected car data can also be used to fuse with data coming out of an interoperable and public charging grid. The data harnessed from these grids and the EVs will also help with the smart planning required to power these charging networks. Data collected from a public charging grid would also help local governments to create a viable solution to sustain loads of users simultaneously plugging in their EVs at home.