files and start the conversion. The output will be a standardized file compatible with most analysis software. Vector Support Method 2: Python Automation (asammdf)
This script uses the python-can library to read the BLF and asammdf to write the MF4:
| Method | Time | File Size (Output) | Metadata Preserved | | :--- | :--- | :--- | :--- | | | 9 min 30 sec | 2.1 GB | Yes | | CANape 22+ CLI (New) | 1 min 12 sec | 1.9 GB | Yes | | asammdf v7.0 (Old lib) | 4 min 50 sec | 2.4 GB | Partial | | asammdf v7.5+ (New) | 2 min 10 sec | 1.8 GB | Full | convert blf to mf4 new
The process involves using the , which can be accessed via the Tools menu. As detailed in the guide, you simply select the importer converter for Vector logging files, configure the options (including adding necessary DBC files for signal interpretation), and select your BLF file. This method also supports a command-line tool called CallConverter , which is perfect for automating batch conversions within a scripting environment.
: Use the built-in Log File Conversion tool located under the Tools menu to convert logs without needing external software. files and start the conversion
对于追求兼容性的数据交换和深度信号分析，MF4格式具有独特价值；而对于要求极致记录性能的场景，BLF仍是首选。理解两种格式的技术差异，并结合实际工程需求选择最佳工具，有助于在汽车电子开发中打造更具扩展性和鲁棒性的数据处理流程。
For high-volume automation, libraries like asammdf allow programmatic conversion of raw CAN data to .mf4 . You can read BLF files, apply .dbc databases, and structure the data efficiently within Python. A common approach involves loading log data and mapping it directly to MDF4 channels. 3. Hardware-Specific Converters Alternative tools offer flexible, non-Vector solutions: As detailed in the guide, you simply select
The built-in provides the most accurate and safe option for setups with valid Vector software licenses (such as CANape or vSignalyzer). Step-by-Step Native Conversion Database Selection for Vector Logging Converter
Metadata Format 4 (MF4) is a metadata-based data format used to store and exchange data in various applications, including smart home automation, IoT devices, and industrial automation. MF4 is designed to provide a flexible, scalable, and compatible data format that can adapt to changing data requirements. MF4 files contain a sequence of metadata elements, each describing a specific data point or event. The format offers several benefits, including:
Modern versions of CANape and CANoe feature built-in batch conversion tools. Open Vector CANape. Navigate to the menu and select the File Converter . Set your source format to Binary Logging Format (*.blf) . Set your target format to ASAM MDF4 (*.mf4) .