Recap of audio system diversification (more audio levels, more car variants (ICE, BEV, PHEV), more functionalities (incl RNC, haptics, headrest, etc) Challenges of today’s audio component integrations: Interior sound challenges, Exterior sound challenges Propositions for disrupting compact (and often doorless) architectures, still meeting performance and functional requirements Specific Speaker requirements for these compact architectures Final layout propositions
As automotive and embedded platforms evolve toward increasingly complex, multi-core SoCs, achieving reliable real-time audio performance has become more difficult than ever. Subtle interactions among computation, memory subsystems, caches, interrupts, and schedulers can produce intermittent audio dropouts that are hard to reproduce, diagnose, and assign to any single component. Diagnosing and isolating defects within software stacks developed by multiple distributed teams presents a significant challenge.
Software-defined vehicles are transforming automotive audio by demanding scalable and reusable architectures across increasingly complex platforms. Building a solid foundation requires mastering low-latency signal paths, early audio, multicore partitioning, thread management, and safety compliance, alongside preset management, OTA updates, HLOS control, and diagnostics. A modular "Subcanvas" approach completes the framework by organizing features, protecting IP, enabling PC-based simulation and earlier real-world integration, simplifying collaboration, and creating new opportunities for IP evaluation and modern sourcing decisions
he development of automotive audio systems is increasingly driven by the need to reduce late‑stage integration risk and to support earlier, more informed design decisions—often before physical prototypes are available. In parallel, objective audio quality and speech intelligibility metrics are being adopted more widely to complement and reduce reliance on subjective listening tests. Together, these trends motivate a shift toward system‑level modeling and simulation approaches that connect digital signal processing (DSP), electro-acoustic transducers, cabin acoustics, and human perception. This tutorial presents practical strategies for unifying simulations of audio DSP and acoustics in the context of automotive audio design using MATLAB and Simulink. Drawing on experience from collaborations across OEMs and the automotive supply chain, the tutorial discusses workflows that allow combinations of multiple model partitions—such as DSP algorithms, loudspeaker and transducer models, cabin acoustic representations, and psychoacoustic assessment—to coexist within unified time‑domain simulations. This enables engineers to better understand cross‑domain interactions and evaluate design tradeoffs earlier in the development process.
