Automotive applications
Data loggers are used in various areas of the automotive industry:
Vehicle testing
When developing new vehicles, it is essential to analyze the interaction of all electronic components. Data loggers can record sensor and control unit data, evaluate them, and provide an error analysis, if needed. Detailed data acquisition at an early stage is especially important for the introduction of new drive technologies, such as electric or hybrid drives.
Long-term and endurance tests
Data loggers are used to analyze the reliability and lifetime of components in durability tests. These tests help identify potential weaknesses early on. By recording vibration and oscillation patterns, developers can gain insight into material fatigue and wear.
Troubleshooting
For sporadic errors, a continuous data acquisition is essential. Data loggers can trigger critical events, record configured measurement data, and aid with error analysis. This helps workshops and developers locate and fix problems and sporadic malfunctions efficiently, saving time and money.
Fleet management and telematics
Modern fleet management systems use data loggers to monitor fuel consumption, road performance, and vehicle condition, thereby increasing efficiency and reducing costs as well as facilitating the planning of maintenance intervals and minimizing unexpected downtimes.
Autonomous driving and driver assistance systems
The ever-growing automation of driving changes and increases the requirements regarding data acquisition and storage. In addition to the usual automotive networks, such as CAN, LIN, or FlexRay, high speed data from cameras, radar systems, and LIDAR have to be recorded as well, e.g. in order to precisely analyze the vehicle environment. This helps developers optimize algorithms for autonomous driving.