Development Diagnostics: Automated Data-driven Validation of the Diagnostic Implementation

CLAAS is one of the world’s leading manufacturers of agricultural machinery. As a family-owned company with a history dating back to 1913, CLAAS develops machines such as tractors, combine harvesters, forage harvesters, telescopic handlers and balers for agricultural customers worldwide. In its diagnostic data, CLAAS describes the interrelationships between diagnostic parameters and ECU inputs and outputs.

Tthe interdependencies between the diagnostic and ECU environments are typically not described formally in the diagnostic data. As a result, further processing by automated methods is generally not possible. This is relevant for both fault memory tests and diagnostic parameter tests. Fault memory tests require a known setting condition for each DTC, while diagnostic parameter tests need a clear relationship between diagnostic parameters and ECU pins. In both cases, function-specific preconditions must be considered during test execution.

In cooperation with Vector, Claas links diagnostic parameters and ECU I/O information with existing network and hardware descriptions. Based on specification data such as CDD or ODX, fully automated diagnostic implementation tests are generated and executed in the existing CANoe test environment. For this purpose, Claas uses the CANoe.DiVa tool from Vector.

The I/O information in the diagnostic description and from other sources is imported into CANoe.DiVa to parameterise a test generator. The test environment stimulates a sensor pin of the ECU, writes a new value to the ECU, or reads values at the diagnostic service. Fault memory tests verify whether the correct DTC was stored in fault memory.