1 option
Options for Introducing SOVD in SDV Architectures Softing Automotive Electronics GmbH
- Format:
- Book
- Conference/Event
- Author/Creator:
- Mayer, Julian, author.
- Conference Name:
- WCX SAE World Congress Experience (2025-04-08 : Detroit, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2025
- Summary:
- The trend for the future mobility concepts in the automotive industry is clearly moving towards autonomous driving and IoT applications in general. Today, the first vehicle manufacturers offer semi-autonomous driving up to SAE level 4. The technical capabilities and the legal requirements are under development. The introduction of data- and computation-intensive functions is changing vehicle architectures towards zonal architectures based on high-performance computers (HPC). Availability of data-connection to the backend and the above explained topics have a major impact on how to test and update such software-defined' vehicles and entire fleets. Vehicle diagnostics will become a key element for onboard test and update operations running on HPCs, as well as for providing vehicle data to the offboard backend infrastructure via Wi-Fi and 5G at the right time. The standard for Service Oriented Vehicle Diagnostics (SOVD) supports this development. It describes a programming interface for a diagnostic system integrated in the vehicle. It's an API for all vehicle architectures capable of fully onboard testing and updating software. Nevertheless, many car manufacturers will have to define a migration path for introducing it step-by-step throughout the entire life cycle. For this reason, a combination of SOVD-capable and UDS-based legacy onboard and offboard systems will become essential.This paper explains the ideas and the concept of the SOVD standard, shows ideas of handling legacy and the "new world" in a lean approach and illustrates them with some practical examples. In the next step, the SOVD functionality described in the standard document is compared with today's UDS-based diagnostic approaches and the existing data processes behind them. Finally, a conclusion about whether SOVD has the potential to entirely replace UDS-based diagnostic will be presented
- Notes:
- Vendor supplied data
- Publisher Number:
- 2025-01-8081
- Access Restriction:
- Restricted for use by site license
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