Software Defined Vehicles promise faster time-to-market for new features, lower total cost of ownership, more secure software through faster and simpler over-the-air updates and a more desirable development environment, lowering entry barriers to automotive software development. It bears the promise of reducing the number of hardware control units, thus allowing for new, more efficient E/E architecture topologies. This large spread in scope of potential use cases results in many different and often ambiguous expectations of what a Software Defined Vehicle actually is. We present a classification of Software Defined Vehicles applying different approaches within our safe and secure Engineering, comprising software and E/E architecture, depending on the use cases’ focus on time-to-market, packaging and total cost of ownership – or all of these. In addition, we show how this classification represents added value in series production and we demonstrate its realization with systems engineering in a practical example.
Session:
Software Defined Vehicle I
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| 14:10 - 14:40