Demystifying Software-Defined Vehicle Architecture for Modern Automotive Systems

The article "Demystifying Software-Defined Vehicle Architecture for Modern Automotive Systems" examines the transformative evolution in automotive design as vehicles transition from hardware-centric platforms to software-defined systems. It explores how the Software-Defined Vehicle (SDV) paradigm is revolutionizing automotive architecture through centralized computing platforms, virtualization technologies, and service-oriented design principles. The article details the layered software stack that enables hardware abstraction, the critical role of hypervisors in managing mixed-criticality workloads, and the heterogeneous computing approaches that optimize performance across diverse vehicle functions. The article investigates enabling technologies, including over-the-air update infrastructure and standardized middleware frameworks that facilitate continuous improvement throughout vehicle lifecycles. It extends to real-world applications, highlighting accelerated innovation cycles, hardware consolidation benefits, and emerging business models enabled by this architectural approach. The article also addresses key challenges in functional safety compliance, cybersecurity, and development complexity while providing perspective on future directions, including edge-cloud hybrid computing and specialized automotive processing technologies.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-04
DOI
https://doi.org/10.5281/zenodo.16735475
Primary Topic
Safety Systems Engineering in Autonomy
Type
article
Field-Weighted Citation Impact
0.00
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article

Demystifying Software-Defined Vehicle Architecture for Modern Automotive Systems

Zenodo (CERN European Organization for Nuclear Research)
Safety Systems Engineering in Autonomy
article

Demystifying Software-Defined Vehicle Architecture for Modern Automotive Systems

article en

Abstract

The article "Demystifying Software-Defined Vehicle Architecture for Modern Automotive Systems" examines the transformative evolution in automotive design as vehicles transition from hardware-centric platforms to software-defined systems. It explores how the Software-Defined Vehicle (SDV) paradigm is revolutionizing automotive architecture through centralized computing platforms, virtualization technologies, and service-oriented design principles. The article details the layered software stack that enables hardware abstraction, the critical role of hypervisors in managing mixed-criticality workloads, and the heterogeneous computing approaches that optimize performance across diverse vehicle functions. The article investigates enabling technologies, including over-the-air update infrastructure and standardized middleware frameworks that facilitate continuous improvement throughout vehicle lifecycles. It extends to real-world applications, highlighting accelerated innovation cycles, hardware consolidation benefits, and emerging business models enabled by this architectural approach. The article also addresses key challenges in functional safety compliance, cybersecurity, and development complexity while providing perspective on future directions, including edge-cloud hybrid computing and specialized automotive processing technologies.

Zenodo (CERN European Organization for Nuclear Research)
Film Independent (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Safety Systems Engineering in Autonomy
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Demystifying Software-Defined Vehicle Architecture for Modern Automotive Systems · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS