Telematic Control Unit for Vehicle Energy Balance Analysis
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Solution Overview
Problem
Current methods fail to effectively monitor and optimize energy consumption in heavy-duty vehicles, particularly in fleets, due to the complexity of processing large data volumes and identifying potential malfunctions through energy balance reports.
Innovation Solution
A method and device that analyze energy expenditures from CAN network data and vehicle parameters by comparing them with simulated vehicle models, calculating various energy components, and generating an energy balance report communicated to an external server, allowing for accurate and reliable energy consumption monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If energy expenditures are calculated and analyzed by comparing with vehicle models, then measurement precision of energy consumption is improved, but device complexity increases due to multiple calculation modules and data processing requirements
Solution Approach 1:
The patent introduces a telematic control unit as an intermediary device that centralizes the complex calculation and analysis functions. This unit receives data from various vehicle sensors, performs energy expenditure calculations by comparing with vehicle models, and generates energy balance reports. By concentrating the complex processing in a dedicated intermediary unit rather than distributing it across multiple systems, the patent achieves precise energy measurement while managing system complexity through functional consolidation.
2Loss of information
If full energy balance reports are generated and communicated to external servers, then information completeness is improved, but loss of time increases due to data processing and communication requirements
Solution Approach 1:
The telematic control unit continuously collects and pre-processes energy expenditure data during vehicle operation, maintaining ready-to-analyze datasets in memory. When a full energy balance report is required, the pre-processed data is already organized and calculated, requiring only final compilation and communication to the external server. This preliminary processing during normal operation eliminates the need for time-consuming data collection at the moment of reporting, thus reducing time loss while ensuring information completeness.
3Reliability
If significant volumes of data are processed to identify malfunctions, then reliability of malfunction detection is improved, but productivity decreases due to extensive data processing requirements
Solution Approach 1:
The patent applies local quality by focusing data processing efforts on specific, pre-identified parameters and energy components that are most indicative of malfunctions. Rather than uniformly processing all available data with equal depth, the system selectively analyzes particular energy expenditure categories and comparison metrics that have higher diagnostic value. This targeted approach maintains high reliability in malfunction detection by concentrating analytical resources on the most informative data aspects, thereby improving processing efficiency without sacrificing detection accuracy.
Data Source
AI summary
A method for analyzing the distribution of energy expenditures of a motor vehicle from data from a communications network and from parameters of the vehicle includes steps in which the energy expenditures of the vehicle over a journey are calculated, the said energy expenditures are analyzed by comparing them with at least one model of the vehicle simulating the same journey, an energy balance report is formulated on the basis of the analysis of the energy expenditures and of the fuel consumption and the said energy balance report is communicated to an external server.