DSA's Engineering Solutions for powerful and future-proof vehicle diagnostics
Modern vehicle architectures impose high demands on diagnostics, safety, and scalability of the vehicle electrical system. DSA supports OEMs from an early stage of vehicle development and contributes in-depth engineering expertise to the specification, implementation, and validation of vehicle diagnostics. This results in stable series production processes and sustainable after-sales structures.
Comprehensive diagnostic systems for software-defined vehicles
DSA solutions focus on the design, development, and validation of diagnostic systems as an integral part of software-defined vehicles. These are based on standardised approaches: Open Diagnostic Data eXchange (ODX) for the structured description of diagnostic data, Measurement Calibration Diagnostic (MCD) for standardised access, and Open Test Sequence eXchange (OTX) for reproducible test and validation procedures. Service-Oriented Vehicle Diagnostics (SOVD) is also becoming an established component of diagnostic functions for service-oriented architectures and networked vehicle functions.
Diagnostic validation in engineering processes
Diagnostic, test, and validation solutions integrated into engineering processes allow functions to be tested, analysed, and verified at an early stage. Protocols, services, and functions are evaluated transparently, and maturity levels are determined objectively. The tools from the PRODIS product family ensure consistent and reproducible validation of diagnostic quality.
In addition, DSA develops complete diagnostic architectures at an overall vehicle level. This includes the definition of clear diagnostic requirements as well as system integration. Individually designed hardware and software solutions, even for vehicles with complex assistance and driving functions, ensure scalability, expandability, and long-term maintainability.
Toolchain throughout the vehicle life cycle
DSA designs future-proof diagnostic systems with modern software technologies, data-based analysis methods, and a consistent toolchain throughout the entire vehicle life cycle, from engineering to production and after sales to connected vehicle scenarios. Engineering forms the technical foundation: robust, transparent, and sustainable.
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