Hyundai Mobis announced that it has developed an integrated communication controller, which enables real-time communication of various vehicle information with other vehicles or infrastructure through external communication networks.
The company succeeded in localizing the core connected car technology that connects vehicles, people, things and infrastructure with high-speed communication networks.
The controller connects various electronic control units (ECU) mounted on the vehicle, including the powertrain, multimedia, airbags and brake systems, through wired communication to collect and analyze various kinds of vehicle operation data in real time. It can process large amounts of data, including the data from various sensors like radars, lidars and cameras, and autonomous driving-related data.
It also communicates this information with the outside through full-time wireless network connectivity. It can also implement various connected car services, such as remote vehicle control and automatic update of the software of various systems, and functions like eCall, which automatically transmits accident information in case of an emergency.
The connected car, a smart mobility device, is expected to greatly change the future driving environment.
For example, the software of various in-vehicle systems is automatically updated so that the driver can always keep in-vehicle software up-to-date during their ownership of the vehicle without having to pay any extra attention. The errors of existing software can be corrected, and new functions and technologies can be applied to the vehicle in real time.
The connected car is expected to improve the performance of the vehicle through the ECU updates in the vehicle, e.g. the safety, convenience and powertrain, and enhance the energy efficiency of electric vehicles by improving the software of the battery management system, drive motors and regenerative braking system.
It will be possible to collect and accumulate the operation data necessary for autonomous driving and high-definition maps, e.g. information on various incidents likely to occur during driving and steering information. It will then make it possible to analyze AI-based real-time traffic information to inform the driver of the best route and provide parking space information of the destination. It will also be possible to use the connected technology to implement various auxiliary functions for safe driving, e.g. real-time high-definition map update, work-zone-avoidance driving and avoiding collision with a vehicle in front of a preceding vehicle that stops suddenly.
Detailed vehicle data, including the status of the powertrain of the vehicle, fuel efficiency and driving habits, can be used not only to diagnose failures in real time, but also implement an open service ecosystem, e.g. integrated parking reservation, driving habit-linked insurance, smart home connection solutions and AI support.