Vehicle ECU Freeze-Frame Compression for Diagnostic Data Storage
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Solution Overview
Problem
Existing data-collection systems for vehicle diagnostics often exceed storage capacity and speed when capturing freeze-frame data, which includes various software variables, due to the increasing complexity of vehicles and the large amount of data collected before and after an event.
Innovation Solution
A data-compression system that determines an average-value of sampled data, converts it to percentage-data, performs discrete cosine transformation, converts to integer, and encodes using arithmetic or Huffman's coding to reduce the size of freeze-frame data, specifically tailored for vehicle diagnostics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If freeze-frame data is captured to diagnose vehicle operation, then diagnostic capability is improved, but storage capacity is exceeded
Solution Approach 1:
The patent extracts only the essential diagnostic information from the freeze-frame data by identifying and storing anomaly indicators rather than capturing complete raw data sets. This extraction approach maintains diagnostic capability while significantly reducing the quantity of data requiring storage.
Solution Approach 2:
Instead of capturing all data and then analyzing it, the system inverts the approach by pre-processing data to identify anomalies first, then storing only the anomaly indicators. This inversion transforms the storage requirement from storing comprehensive data to storing condensed diagnostic markers.
2Measurement precision
If more data is collected from vehicle ECUs, then diagnostic accuracy is improved, but storage speed is exceeded
Solution Approach 1:
The system performs preliminary processing of the collected data to identify anomalies before storage is required. By pre-processing the data to extract anomaly indicators, the system maintains high diagnostic accuracy while reducing the data volume that needs to be stored at high speed.
Solution Approach 2:
The patent transforms the data from its original high-volume format into a condensed anomaly indicator format. This parameter change in data representation maintains the essential diagnostic information while dramatically reducing the storage speed requirements.
3Quantity of substance
If compression methods are applied to freeze-frame data, then storage requirements are reduced, but data processing complexity increases
Solution Approach 1:
The patent extracts anomaly indicators from the freeze-frame data using systematic methods that identify patterns and deviations. This extraction process reduces storage requirements while managing processing complexity through structured approaches to data analysis.
Solution Approach 2:
The system applies parameter changes by converting raw data into anomaly indicators through mathematical transformations and statistical analysis. This parameter transformation achieves compression while organizing the processing complexity into manageable computational steps.
Data Source
AI summary
A data-compression system for compressing and storing sampled data from an electronic control unit (ECU) in an automated vehicle includes an input and a controller. The input receives and samples a signal during a time-interval to provide a frame of sampled-data. The controller is in communication with the input. The controller is configured to capture the frame of sampled-data; determine an average-value of the sampled-data in the frame, and convert the sampled-data to percentage-data using the average-value as the basis for the conversion.