BET-Motors GmbH (Graz, Austria), established in 2023 by experienced automotive engineers and industry veteran C-level top executives from Europe’s leading automotive companies, such as VOLVO, AVL, etc. It is a leading Austrian deep-tech start-up at the forefront of heavy-duty transport electrification. The company specialises in developing battery powered fully electric rolling chassis with integrated powertrain for 42-tonne (Class 8 US, Category N3 in EU) trucks, among other applications, uniquely equipped with up to a 1,000 kWh (1 MWh) battery system that does not increase the vehicle’s tare weight. BET-Motors is the only electric truck chassis design with a driven front axle utilising maximum recuperation potential, achieving an ultra-low range efficiency of <0,8kWh/km. Beyond enabling long-range, zero-emission freight transport, BET-Motors’ patented and innovative “battery-onwheels” solution allows trucks to serve as mobile power sources, supplying energy to depots or the grid and creating additional revenue streams for operators. To date, ExoSkate™ (fully electric rolling chassis), has attracted great interest from Truck OEM manufacturers such as Volvo, Daimler, Scania and logistics e-commerce such as AMAZON who are interested in integrating our technology. Our rolling chassis is currently at TRL6 prototype, ready for the market in 2 years.

The CODE4EV project aims to accelerate the development of electric software-defined vehicles (SDVs) by establishing a collaborative development framework. This framework will support the design, production and operational phases of electric vehicles (EVs) by demonstrating its application through selected Use Cases relevant to emerging and future SDV architectures. The project key objectives include the elaboration of digital design tools and a trustworthy development methodology for electric SDVs, improving the efficiency and reliability of SDV architecture component sharing, and accelerating validation processes. The project also focuses on the implementation of a model-based design, the development of a symbolic ontology knowledge database, and the migration from rapid prototyping environments to automotive SW environments to improve development processes and compliance with industry standards. In addition, CODE4EV aims to provide multi-layered benefits throughout the design, production and operational phases of EVs. This includes methods for defining the SDV architecture, real-time runtime virtualisation approaches, and developing modular HW architectures to optimise data usage. The project Use Cases will demonstrate the implementation of the collaborative development framework, such as data-driven EV optimisation, health monitoring and predictive maintenance, and smart motion control. These Use Cases aim to demonstrate improvements in energy consumption, component life extension and overall vehicle performance. CODE4EV plans to develop virtual, hybrid and full-scale demonstrators of electric SDVs for different vehicle categories, focusing on efficient verification procedures and the evaluation of the scalability of the CODE4EV approach. These efforts aim to ensure compatibility and efficiency for a range of vehicle types, including heavy-duty trucks and L-class EVs, thereby making an important contribution to the promotion of zero-emission mobility solutions.