Vehicle Energy Data Comparison for Discrepancy Detection
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Solution Overview
Problem
Monitoring and understanding energy consumption in vehicles is complex due to numerous influencing factors, making it time-consuming to detect discrepancies and identify the root cause of energy deviations.
Innovation Solution
A method and device that compare operating data with modelling data generated by a digital model of the vehicle, detecting discrepancies and evaluating their causes to improve energy consumption handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring and analysis of energy consumption data is performed, then detailed understanding of energy usage is achieved, but the process becomes extremely time-consuming and complex due to numerous influencing factors
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the vehicle that replicates its energy consumption behavior. This digital model allows automated comparison between expected and actual energy usage without manual intervention, resolving the contradiction by providing precise analysis through automation rather than time-consuming manual processes
Solution Approach 2:
The system continuously compares actual operating data against the digital twin model and automatically feeds back discrepancies. This closed-loop feedback mechanism enables real-time detection of energy consumption anomalies without manual analysis, achieving both precision and time efficiency
2Loss of information
If comprehensive data collection from multiple sources is implemented, then complete energy consumption picture is obtained, but data complexity and difficulty of root cause detection increase
Solution Approach 1:
The digital twin acts as an intermediary that processes and integrates data from multiple sources (sensors, operating conditions, environmental factors). Instead of directly analyzing complex raw data, the system compares simplified model outputs against actual measurements, reducing processing complexity while maintaining data completeness
Solution Approach 2:
The patent segments the complex energy consumption analysis into distinct components: the digital twin model handles theoretical calculations while the actual vehicle provides measured data. This segmentation allows each component to handle specific data types independently, reducing overall system complexity
Data Source
AI summary
A device obtains modelling data associated with energy consumption of a model vehicle. The modelling data are generated by a digital model of the vehicle in operation. The device obtains operating data associated with energy consumption of the vehicle in operation. The device compares the operating data to the modelling data. Based on a result of the comparing, the device detects a discrepancy between the operating data and the modelling data and associated with the energy consumption. The device evaluates the detected discrepancy associated with the energy consumption. The device triggers an operation when the discrepancy has been detected.