The automotive market is undergoing a transformation. New technologies, consumer demands, environmental pressures and more are driving a race to reinvent the personal driving experience by making it more comfortable, convenient, safe, and sustainable. The result is a transportation revolution that is powering autonomous vehicle development, vehicle electrification, and connected smart mobility. Furthermore, while legacy automakers are working to deliver new and advanced vehicles, they are also feeling the pressure created by a flurry of new entrants to the automotive marketplace. Technology companies and small digitally native automotive startups are keen to take part in this revolution and can rely on their expertise in the digital world to give them an advantage.
As the appetite for high-tech vehicles continues to increase, the nature of vehicle development has changed. Modern vehicles are increasingly defined by software and electronic components that enable the advanced features desired by consumers. This transition towards a software-defined vehicle has also caused a rapid growth in vehicle complexity. To keep up, legacy automotive original equipment manufacturers (OEMs) and suppliers must be able to deliver innovative software-driven vehicle features and contend with the mounting complexity of integrating them into the mechanical, electrical, and electronic systems of a vehicle.
In this session, Nand Kochhar, VP of Automotive and Transportation Industries at Siemens Digital Industries Software will discuss how automakers must rethink traditional vehicle development processes and embrace digital technologies to compete in this dynamic and crowded marketplace. Nand will cover how a model-based systems engineering (MBSE) approach is critical for enabling automakers to capture vehicle development holistically, as a system-of-systems, including electronics, software, networks, electrical wiring, and mechanical systems.
With such a perspective, automakers will drive innovation at the rapid pace demanded by the market today. Automakers that implement this approach with coherent model-based dataflows will enable their engineers to design and refine functional models of various vehicle systems while optimizing details across the product lifecycle. And organizations throughout the supply chain will be able to connect these models together into a robust and comprehensive digital twin. Finally, Nand will describe how this comprehensive digital twin of the vehicle allows engineers to digitally design, simulate, test, and optimize system intent and performance to arrive at optimal designs quickly and cost-efficiently.