Robust Connectivity Solutions for Next-Generation Automotive Data Networks

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New architectures incorporating high-speed computing clusters supporting signal processing for sensor fusion applications will have increasingly challenging requirements for data high-speed communications within vehicles. That means vehicle manufacturers must consider the limitations of physical channel properties during the definition of the architecture and selection of communication protocols.

Fragmented vs Converged Vehicle Architectures

A modern luxury vehicle can contain up to 100 electronic control units (ECUs) based on multiple proprietary operating systems. These range from simple control programs to complex, real-time, multifunctional operating systems or embedded platforms.

The number and complexity of advanced driver assistance systems (ADAS) that will ultimately lead to fully automated driving is increasing. As a result, traditional ECU-based architectures are reaching their limits. Vehicle manufacturers, therefore, need to develop new concepts to manage the high levels of complexity and data through-put. By clustering functions into domains and converging ECUs, vehicle manufacturers can optimize the weight of the harness and reduce connectivity complexity. This could result in a reduction in components and overall cost.

Clustering functions into domains and converging ECUs can optimize the weight of the harness and reduce connectivity complexity.