Control Device Switching Tests with Automated Power-Cycle Logging
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Solution Overview
Problem
Current measurement technologies for control devices in vehicles face challenges in automating the power-up and power-down processes, requiring manual interventions and lacking efficiency in identifying issues during robustness tests, especially in complex systems with multiple SoCs and arithmetic logic units.
Innovation Solution
A method utilizing expanded measurement technology hardware and software to automatically record and analyze multiple switching operations of control devices, including power-up and power-down cycles, without influencing the running software, using various interfaces like PCIe, CAN, and trace interfaces, enabling synchronized measurements across multiple devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual intervention is used for power-up and power-down processes, then the testing process can be controlled, but the productivity and automation extent are reduced
Solution Approach 1:
The control device automatically performs power-up and power-down operations without requiring manual intervention. The device self-manages the testing process by autonomously cycling through power states, enabling unattended robustness testing that improves both automation extent and productivity simultaneously
Solution Approach 2:
The testing system is configured in advance to automatically execute power-up and power-down sequences. By pre-programming the test parameters and automation logic, the system prepares the testing framework beforehand, allowing seamless automated execution that eliminates manual steps while maintaining high productivity
2Productivity
If multiple control devices are tested simultaneously, then the productivity increases, but the device complexity and measurement precision requirements increase
Solution Approach 1:
The testing system divides the control devices into separate testing channels or groups, with each device tested independently but concurrently. This segmentation allows parallel testing that increases productivity while managing complexity by isolating measurement requirements for each device
Solution Approach 2:
A universal testing platform is designed that can accommodate multiple control devices with different configurations. The system uses standardized interfaces and adaptive measurement protocols that work across diverse device types, enabling simultaneous testing of multiple devices without proportionally increasing system complexity
3Measurement precision
If comprehensive measurement data is recorded during switching operations, then the measurement precision improves, but the computational load and data processing requirements increase
Solution Approach 1:
Relevant measurement parameters and thresholds are pre-configured before testing begins. By predetermined which data points are critical for issue identification, the system records only essential information with high precision, avoiding the computational burden of processing comprehensive datasets while maintaining accurate problem detection
Solution Approach 2:
The system extracts and focuses on specific critical measurement parameters that are most indicative of control device issues during switching operations. By selectively monitoring key parameters rather than recording all possible data, the system achieves high measurement precision for issue identification while minimizing computational load and data processing requirements
Data Source
AI summary
A method for testing at least one control device. In the method, the at least one control device is switched multiple times using measurement technology that comprises a piece of measurement technology hardware and a piece of measurement technology software, and measurement data of the control device, in which the multiple switching operations can be identified, are recorded by the measurement technology so that the switching operations are automatically recognized.