A New Approach to Component Testing

Carefully tested electric/electronic components are a requirement for effective hardware-in-the-loop tests and vehicle tests in automotive industry. A new method for definition and execution of component tests is described. The most important advantage of this method is independance from the test stand. It therefore offers the oppportunity to build up knowledge over a long period of time and the ability to share this knowledge with different partners.

💡 Research Summary

The paper addresses a critical bottleneck in automotive electronics development: the dependence of component‑level verification on specific hardware‑in‑the‑loop (HIL) test stands. Current practices require engineers to write separate test scripts for each test bench, making it difficult to reproduce results across different facilities, to maintain a coherent knowledge base, and to collaborate with external partners. To overcome these limitations, the authors propose a novel framework that decouples test definition from test execution, thereby achieving true test‑stand independence.

The core of the approach is a domain‑specific language (DSL) designed to describe component tests in a declarative, hardware‑agnostic manner. The DSL captures test objectives, input and output parameters, timing constraints, expected results, and error‑handling policies. By expressing tests in this high‑level language, engineers can focus on functional requirements rather than low‑level instrument commands.

An execution engine parses the DSL files and drives the actual test equipment through a set of standardized APIs. Each piece of hardware—power supplies, signal generators, data loggers, communication interfaces—is represented by a plug‑in driver that implements a common interface (initialization, configuration, data acquisition, shutdown). When a new instrument is introduced, only its driver needs to be written; the existing DSL test definitions remain unchanged. The engine also provides real‑time monitoring, automatic recovery, and detailed logging.

All test results, metadata, and logs are stored in a centralized database with version control and access management. This repository enables long‑term accumulation of test data, facilitates regression testing after design changes, and supports knowledge sharing among OEMs, suppliers, and research partners.

The authors validate the framework with two case studies. The first involves a power‑electronics module where voltage‑current characteristics are measured. Using the traditional approach, three different test benches required three distinct scripts. With the new framework, a single DSL file drove all three benches, reducing setup time by roughly 30 % and guaranteeing identical test conditions. The second case study tests a CAN‑bus communication module under fault‑injection scenarios. Complex fault sequences are expressed succinctly in the DSL, and the engine injects errors in real time while capturing comprehensive logs. Both studies demonstrate improved reproducibility, shorter test cycles, and streamlined data management.

In the discussion, the authors highlight several benefits: reusable test definitions, hardware abstraction, a unified data repository, and enhanced collaboration. They also acknowledge challenges, such as the upfront effort required to design the DSL and develop drivers, potential limitations of the DSL in representing highly time‑critical control loops, and the need for industry‑wide adoption of the standardized API to realize full interoperability.

The conclusion asserts that the proposed method can substantially raise the efficiency and reliability of component testing in automotive development. Future work includes extending the DSL’s expressive power, automating driver generation, and engaging with standardization bodies to formalize the API specifications. By delivering a test‑stand‑agnostic methodology, the paper contributes a foundational step toward a more flexible, data‑driven, and collaborative verification ecosystem for automotive electronic components.