Technology
Our Standards aim to freely interconnect tools of a development process chain and to enable a seamless data exchange.
Technology
ASAM Standards focus on defining data models, file formats, communication APIs, software component APIs, and communication protocols for the data exchange between research, development, and validation systems. ASAM standardization seeks to incorporate requirements from many different global viewpoints and produce an efficient interface. Thus, ASAM standardization allow for choice of best tools based on capability, efficiency, and support - rather than proprietary connections.
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Technology Areas
ASAM standards can be categorized in seven domains:
- Measurement & Calibration
- Diagnostics
- ECU Networks
- Software Development
- Test Automation
- Data Management & Analysis
- Simulation
These core domains categorize the current 31 ASAM standards. However, standardization efforts are not limited to these domains. ASAM has installed a process to also address challenges in other domains such as big data, telematics, autonomous driving, etc. First initiatives are under way.
Automotive Tool Chains Supported by ASAM Standards
ASAM standards for ECU development are primarily applied during the design, implementation and calibration phases of ECU software development (left side of the V-Model). They focus on:
- design of functional and interface specifications for software components
- describe ECU network communication
- carrying out measurement, calibration and diagnostics tasks on an ECU
- automation of HIL tests
- description of engineering artifacts
- exchange of problem reports
ASAM standards for test stand and data management systems are primarily applied during the verification & validation phases of ECU software development (right side of the V-Model), and during automated calibration and system testing on engine and vehicle test beds. They focus on:
- test stand operation
- test stand automation
- sensor and actuator integration
- storage and retrieval of test data
- evaluation and analysis of test data
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