Quick Takeaways
  • Software-defined vehicles development is set to accelerate as Valeo and Anritsu join forces on virtual testing environments.
  • The collaboration focuses on reducing complexity and improving efficiency in SDV software and connectivity validation.
On February 5, Valeo S.A. (Valeo) and Anritsu Corporation (Anritsu) announced a collaboration focused on advancing software-defined vehicles through virtual development environments. The partnership aims to improve testing efficiency as SDVs increasingly rely on software, cloud connectivity, and continuous updates, making validation more complex and resource intensive.

Rising Testing Complexity in Software-Defined Vehicles

As software-defined vehicles evolve, the number of parameters required during testing has expanded significantly. Vehicles must now be validated across cloud connections, software update scenarios, and multiple operating conditions, increasing the burden on engineering teams responsible for ensuring reliability and performance.
Traditional validation methods depend heavily on physical hardware and manual processes. Engineers often perform complex operations that simulate different real-world scenarios, which can slow development cycles and increase costs while limiting flexibility during early-stage software validation.

Virtual Development Environment Using Digital Twins

To overcome these challenges, Valeo and Anritsu combined their strengths to enable a more advanced virtual development approach. Valeo contributed its software development solutions, while Anritsu applied its deep expertise in automotive connectivity and communication testing.

Integration of Networks and V2N/V2X Communication

The collaboration enables the creation of digital twins that closely mirror real-world conditions. These virtualized environments integrate networks from multiple telecommunications carriers and support vehicle to network and vehicle to everything communications, allowing engineers to validate software behavior under diverse connectivity scenarios.
By shifting more validation work into virtual environments, the joint solution helps reduce reliance on physical hardware, supports earlier detection of issues, and improves overall efficiency in software-defined vehicles development while maintaining technical accuracy and real-world relevance.
Company Press Release

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