SDV Guide
digital.auto
  • Welcome
  • SDV101
    • Part A: Essentials
      • Smart Phone? No: Habitat on Wheels!
      • Basics: What is a Software-defined Vehicle
      • MHP: Expert Opinion
      • Challenges: What sets automotive software development apart?
      • SDV Domains and Two-Speed Delivery
    • Part B: Lessons Learned
      • Learnings from the Internet Folks
        • Innovation Management
        • Cloud Native Principles
          • DevOps and Continuous Delivery
          • Loose Coupling
            • Microservices & APIs
            • Containerization
            • Building Robust and Resilient Systems
      • Learnings from the Smart Phone Folks
    • Part C: Building Blocks
      • Foundation: E/E Architecture
        • Today`s E/E Architectures
        • Evolving Trends in E/E Architectur
        • Case Study: Rivian
      • Standards for Software-Defined Vehicles and E/E Architectures
      • Building Blocks of an SDV
        • Service-Oriented Architecture
          • The SOA Framework for SDVs
          • Container Runtimes
          • Vehicle APIs
          • Example: Real-World Application of SDV Concepts
          • Ensuring Functional Safety
          • Event Chains in Vehicle SOAs
          • Vehicle SOA Tech Stack
        • Over-the-Air Updates: The Backbone of Software-Defined Vehicles
        • Vehicle App Store: The Holy Grail of Software-Defined Vehicles
      • Summary: Building Blocks for Software-Defined Vehicles
    • Part D: Implementation Strategies
      • #DigitalFirst
      • Hardware vs Software Engineering
        • The Traditional V-Model in Automotive Development
        • Agile V-Model, anybody?
        • Key: Loosely Coupled, Automated Development Pipelines
        • The SDV Software Factory
      • Implementing the Shift Left
        • Simulation and Digital Prototyping
          • Early Validation: Cloud-based SDV Prototyping
          • Detailed Validation: SDVs and Simulation
        • Towards the Virtual Vehicle
          • Case Study: Multi-Supplier Collaboration on Virtual Platform
          • Long-Term Vision
        • Physical test system
        • De-Coupled, Multi-Speed System Evolution
        • Continuous Homologation
        • Summary and Outlook
      • Enterprise Topics
        • Variant Management
        • Engineering Intelligence
        • Enterprise Organization, Processes, and Architecture
        • Incumbent OEMs vs EV Start-ups
  • SDV201
  • ./pulse
    • SDV Culture
    • Lean Sourcing
      • LeanRM
        • Why so many Requirements?
      • SCM for SDVs
    • SDV Systems Engineering
      • LeanSE
      • SDVxMBSE
    • Digital First
    • Loose Coupling
      • API-first
      • Freeze Points
    • Automation and Engineering Intelligence
    • Continuous Homologation
    • Build / Measure / Learn
  • Glossary
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SDV Guide

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(c) 2025 Dirk Slama

On this page
  • The Shift North: Decoupling Software from Hardware
  • Comparing E/E Architectures
  • Benefits and Challenges of Modern E/E Architectures
  • Adoption Trends in the Automotive Industry
  • The Path Forward
  1. SDV101
  2. Part C: Building Blocks
  3. Foundation: E/E Architecture

Evolving Trends in E/E Architectur

PreviousToday`s E/E ArchitecturesNextCase Study: Rivian

Last updated 6 months ago

As automotive OEMs strive to address the challenges of traditional E/E architectures, several transformative trends are emerging to reshape the landscape. These trends aim to simplify complexity, enhance scalability, and future-proof vehicles for the software-defined era.

The first major trend is the introduction of domain controllers, which consolidate the functions of multiple specialized ECUs into fewer, more powerful domain-specific units. This approach streamlines vehicle design and reduces the overall complexity of hardware systems.

The second trend is centralized computing, where high-performance computing units manage diverse software and AI workloads across multiple domains. Centralized compute enables faster, more flexible software updates and supports advanced functionalities such as ADAS and infotainment.

Lastly, zonal architectures are gaining traction. These architectures organize the E/E system based on the physical layout of the vehicle, significantly reducing wiring complexity. Zone controllers handle the functionality of specific vehicle zones, interlinking with a central compute unit for coordination. This shift introduces hardware abstraction layers, allowing domain-oriented software to operate independently of the physical vehicle layout.

The Shift North: Decoupling Software from Hardware

The concept of the shift north marks a transformative approach in E/E architecture evolution, especially in the context of zonal designs with central computing. While traditional domain-centralized architectures focus on hardware-level clustering of functions, zonal architectures take a fundamentally different path. They create a physical layout-based design to significantly reduce wiring complexity, grouping functionality according to the physical zones of the vehicle.

In a zonal setup, zone controllers handle a wide variety of functions from multiple domains within their specific physical areas. This approach simplifies the vehicle's hardware by decoupling domain functionality from its physical organization. The functional clustering, traditionally tied to hardware, shifts upwards into the software domain.

This shift north relies on hardware abstraction layers (HALs), which create a critical buffer between software and hardware. HALs ensure that software components are shielded from the specifics of the physical layout. As a result, developers can work in a domain-oriented approach, unaware of the underlying zonal structure. This abstraction fosters scalability, flexibility, and maintainability, enabling faster updates and easier integration of new features, independent of hardware constraints.

The shift north is a key enabler for modern software-defined vehicles, unlocking the potential of zonal architectures while maintaining the domain-focused design needed for complex vehicle systems.

Comparing E/E Architectures

Different E/E architectures offer distinct advantages and trade-offs. Domain-centralized architectures cluster functionality at the hardware level, while zonal architectures with central compute shift functional clustering to software.

For instance, in a zonal setup, each vehicle zone operates independently with isolated wiring harnesses and a dedicated zone controller. Central compute handles higher-level functions, with high-resolution sensors directly connected to it. This design fosters modularity and loose coupling, laying the foundation for scalability, maintainability, and agility.

Benefits and Challenges of Modern E/E Architectures

Modern E/E architectures offer several advantages while presenting notable challenges. On the benefits side, they reduce costs by minimizing the number of ECUs and simplifying wiring, which lowers manufacturing expenses. Scalability and flexibility improve, making upgrades easier and designs more future-proof. Modular designs enable parallel development, shortening time to market, while central computing supports advanced software features like over-the-air updates. Reliability is enhanced through simplified architectures, which streamline diagnostics and reduce failures. Additionally, standardized interfaces improve collaboration with suppliers and the broader ecosystem.

However, challenges persist. Transitioning to these architectures involves high costs, as overhauling legacy systems requires substantial investment. Organizational barriers complicate adapting processes like development, approval, and procurement. Integration risks arise from combining new and legacy technologies, requiring careful coordination. Economic pressures and regulatory demands can delay projects, while established OEMs may hesitate to adopt bold changes, opting instead for incremental adjustments to mitigate risks.

Adoption Trends in the Automotive Industry

The automotive industry is currently witnessing varied adoption patterns across OEMs. Traditional E/E architectures dominate today but are gradually declining in favor of domain-centralized and vehicle-centralized architectures. Domain-centralized systems are already prominent, while vehicle-centralized setups, though less common in 2024, are expected to grow steadily in the coming years. Predictions suggest a significant shift toward these modern architectures as OEMs balance innovation with the costs of legacy system overhauls.

The Path Forward

Evolving E/E architectures represent the foundation for software-defined vehicles, bridging hardware efficiency with software-driven innovation. While the transition poses challenges, the potential for cost savings, enhanced functionality, and faster innovation cycles underscores the importance of embracing these new paradigms. OEMs must carefully navigate the trade-offs to ensure a successful transformation.