At this year's CES in Las Vegas, Renault-Nissan showcased an open-source automotive platform POM, created jointly with OSVehicle, ARM, Pilot and Sensoria. As the world's first open-source mass market vehicle, it will make its platform available to anyone interested in copying and modifying existing software in order to create a fully customizable electric vehicle.
POM, the open automotive platform is based on Twizy, with all the bodywork parts removed and its basic platform offered to start-ups, independent laboratories, private customers and researchers that can use POM and modify the software as they please and create their own electric vehicle.
The partners of the project play various roles. OSVehicle for example provides on-demand design and engineering services for complete personalization, while bringing together a group of entrepreneurs, developers, designers, and engineers that openly exchange ideas and experiences.
On the other hand, Renault's collaboration with ARM will offer Twizy's open-source software and hardware architecture to allow new features, including interoperability with ARM®-based connected devices.
With Pilot, Renault explored aftermarket opportunities beyond traditional automotive offerings, finding Pilot's Light Pulse Cable technology can be paired with the carmaker's electric mobility expertise to create the world's first electroluminescent charging cable for electric vehicles. As explained by Renault, the cable indicates the existing charge level by illuminating and flashing on and off in proportion to electricity flow. The flash rate will then slow down as the battery charges and switch off completely once fully charged.
Renault-Nissan also teamed up with smart garments manufacturer Sensoria (known for its intelligent T-shirt which records a driver's heart rate) to develop a sensitive socks to improve drivers' footwork. The sock has sensors integrated that gather information on how the driver presses the speed, break and accelaration pedals. The gathered information is then transmitted to an app that compares them with information on speed, braking and acceleration, whilst allowing the driver to improve his or her performance based on calculated results.