Adaptive AUTOSAR refers to an extension of the AUTOSAR standard designed to address the growing complexity and connectivity requirements of modern vehicles, particularly those with advanced driver assistance systems (ADAS), infotainment, and autonomous driving features.
Key characteristics and features of Adaptive AUTOSAR include:
- High-Performance Computing Platforms: Adaptive AUTOSAR is designed to run on more powerful and flexible computing platforms compared to traditional ECUs. These platforms often include multicore processors and support for virtualization.
- Ethernet Communication: Unlike Classic AUTOSAR, which often relies on bus systems like CAN, Adaptive AUTOSAR introduces Ethernet as a primary communication technology. Ethernet supports higher bandwidth and lower latency, making it suitable for applications with increased data transfer requirements.
- Service-Oriented Architecture (SOA): Adaptive AUTOSAR adopts a service-oriented architecture (SOA), allowing for the integration of software services. This enables more flexibility in the deployment of applications and services within the vehicle.
- Dynamic Software Updates: Adaptive AUTOSAR supports the dynamic updating of software components, allowing for over-the-air (OTA) updates. This is particularly important in the context of connected vehicles, where software updates can be delivered remotely.
- Runtime Environment and Communication Management: The runtime environment of Adaptive AUTOSAR is more dynamic, allowing for the addition and removal of software services during runtime. The communication management is adapted to handle the complexity of Ethernet-based communication.
- Application Services: Applications in Adaptive AUTOSAR are organized as services. These services can interact with each other and the underlying platform through standardized interfaces.
Adaptive AUTOSAR is intended to provide a standardized framework that allows automotive manufacturers and suppliers to develop and deploy software applications in a more flexible and scalable manner. It addresses the challenges posed by the increasing complexity of vehicle software and the need for advanced connectivity features in modern vehicles.