ECU Telematics Parameter Processing for Bandwidth Optimization
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Solution Overview
Problem
Current vehicle telematics systems are limited in data content and reporting intervals, hindering efficient data collection and analysis for vehicle diagnostics and services.
Innovation Solution
A vehicle system with electronic control units (ECUs) that receive parameter definitions from a remote server, generate processed parameters, and send them to a telematics control unit for upload to a remote server, utilizing dedicated data buffers and networks for efficient data processing and reporting, including compression algorithms to optimize data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If telematics data is uploaded with limited data content and reporting intervals, then network bandwidth consumption is reduced, but data analysis comprehensiveness deteriorates
Solution Approach 1:
The patent segments telematics data into different types (raw parameters, processed parameters, diagnostic data) and processes them differently. ECUs generate both raw parameters and processed parameters (computed by applying parameter definitions to raw parameters), allowing selective upload of compressed processed data while maintaining analysis capability.
Solution Approach 2:
The system performs preliminary processing of telematics data at the ECU level by generating processed parameters from raw parameters using parameter definitions received from the remote server. This preprocessing compresses data before transmission, reducing bandwidth consumption while preserving essential diagnostic information.
2Loss of information
If more telematics data is collected and uploaded, then data analysis comprehensiveness is improved, but network bandwidth consumption increases
Solution Approach 1:
The system changes parameters by transforming raw parameters into processed parameters through computation using parameter definitions. This transformation compresses the data representation while maintaining the essential information needed for diagnostic analysis, achieving better data density for transmission.
Solution Approach 2:
Processed parameters act as an intermediary between raw parameters and the final diagnostic analysis. The ECU computes processed parameters from raw parameters, creating a compressed intermediate representation that reduces transmission bandwidth requirements while preserving diagnostic value.
3Reliability
If telematics system is configured for detailed data reporting, then diagnostic capability is improved, but system complexity increases
Solution Approach 1:
ECUs autonomously generate processed parameters from raw parameters using parameter definitions received from the remote server. This self-service capability at the ECU level enables detailed diagnostic reporting without requiring complex centralized processing architecture, maintaining system reliability while managing complexity.
4Loss of time
If data transmission frequency is increased, then data freshness is improved, but network bandwidth consumption increases
Solution Approach 1:
The system transforms raw parameters into processed parameters through computation, creating a more compact data representation. This parameter transformation allows more frequent reporting of essential diagnostic information within available bandwidth constraints, improving data freshness without proportionally increasing bandwidth consumption.
Data Source
AI summary
A vehicle electronic control unit (ECU) may control a vehicle subsystem and be configured to receive from a remote server via a vehicle telematics unit (TCU), a parameter definition of a processed parameter to be computed by the ECU; generate the processed parameter according to the parameter definition based on a raw parameter generated by the ECU; and send the processed parameter to a vehicle data buffer associated with the ECU for upload to the remote server via the TCU.