Continuous Homologation
Last updated
Last updated
As Software-Defined Vehicles (SDVs) evolve through frequent software updates, ensuring compliance with regulatory and safety standards becomes a continuous challenge. Traditionally, vehicle homologation—the process of certifying that a vehicle meets regulatory standards—was performed after development was complete. This model worked in a hardware-dominated automotive world but fails in the fast-paced, iterative environment of SDVs. This is where Continuous Homologation (CoHo) comes into play.
The Shift-Left approach in SDV development advocates for earlier testing, validation, and integration, moving critical processes "leftward" on the development timeline. Continuous Homologation extends this principle by embedding compliance checks into the development process itself. Rather than treating homologation as a final, isolated step, CoHo ensures that every change—whether a software patch or a major feature update—is evaluated for regulatory impact as soon as it is proposed.
By shifting regulatory validation left, CoHo allows software teams to identify and address compliance issues early. This reduces the risk of costly delays caused by late-stage certification failures. It also ensures that regulatory compliance keeps pace with rapid development cycles, enabling continuous delivery while maintaining safety and legal integrity.
Automated Compliance Checks: Every Change Request (CR) is automatically matched against relevant regulations using advanced tools.
Virtual and Real-World Testing: Compliance is validated through simulation, virtualization, and real-world testing environments.
Progressive Validation: Testing progresses from early prototypes to full-system integration, ensuring continuous verification.
Collaborative Ecosystem: OEMs, suppliers, and regulators must work together using shared platforms to streamline compliance efforts.
The whitepaper “Continuous Homologation for Software-Defined Vehicles” provides a detailed framework for implementing CoHo. It covers Change Request management, regulatory mapping, dependency analysis, and simulation-based validation, supported by real-world case studies. The proposed system emphasizes automation, scalability, and collaborative standard-setting within the industry.
For a deeper dive, read the full whitepaper here: .
