Vehicle Emission Analysis System Using Sensor Data Segmentation
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Solution Overview
Problem
Current methods for assessing and optimizing vehicle energy efficiency and emission behavior are limited, as they primarily focus on averaged profiles and do not effectively analyze individual driving states or operating conditions, leading to inefficiencies and increased emissions.
Innovation Solution
A system that uses sensors to measure and analyze emissions profiles over time, correlating them with vehicle operating states, allowing for the determination of characteristic values that assess and optimize energy efficiency and emission behavior by evaluating the energy consumption and emissions across various driving states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If averaged profiles are used to assess vehicle energy efficiency and emission behavior, then the assessment process is simplified, but the analysis precision and ability to identify specific inefficiency causes are reduced
Solution Approach 1:
The patent segments the continuous emission signal into discrete emission events by identifying local maxima that exceed a threshold. Each emission event is then analyzed individually with respect to its timing, duration, and magnitude, allowing precise identification of inefficiency causes while maintaining systematic processing
Solution Approach 2:
The patent creates a digital copy of the emission signal through the evaluation algorithm that processes sensor data. This virtual representation allows detailed analysis of emission patterns without requiring physical modification of the vehicle or emission sources, enabling precise assessment while keeping the system simple
2Measurement precision
If individual driving states are analyzed in detail, then the identification of specific inefficiency causes is improved, but the complexity of the assessment system increases
Solution Approach 1:
The control unit creates a virtual model of vehicle operation by processing sensor data through algorithms that identify emission events and correlate them with driving states. This digital copy enables detailed analysis of individual operating conditions without adding physical complexity to the vehicle system
Solution Approach 2:
The system continuously monitors emission signals and provides feedback by identifying when emission events occur relative to driving state transitions. This feedback mechanism enables precise identification of inefficiency causes while using existing vehicle sensors and control units, avoiding additional system complexity
3Measurement precision
If comprehensive emission data is collected over extended periods, then the energy efficiency assessment accuracy is improved, but the data processing time and computational load increase
Solution Approach 1:
The evaluation algorithm extracts only the relevant emission events from the continuous emission signal by identifying local maxima that exceed a threshold. This extraction process filters out redundant data while retaining all information necessary for accurate energy efficiency assessment, reducing processing time without sacrificing accuracy
Solution Approach 2:
The patent segments the continuous emission data into discrete emission events that can be processed independently. Each event is characterized by its timing, duration, and magnitude, allowing efficient processing of long-term data through systematic analysis of individual events rather than continuous signal processing
Data Source
AI summary
The invention relates to a system comprising a plurality of first sensors to measure parameters characterizing a vehicle operating state; a second sensor to measure a parameter characterizing an emission of an fuel processing apparatus; a control device to measure repeatedly over a predefined time period and to determine a vehicle operating state based on a first data set with measured values from the plurality of first sensors and predefined parameter ranges describing a predefined vehicle operating state; an allocation device to allocate a second data set comprising measured values from the second sensor to the predefined vehicle operating state; and an evaluation device to determine a characteristic value for assessing or optimizing the operating behavior of the vehicle based on the vehicle operating state and the second data set, wherein the characteristic value characterizes an energy efficiency of the vehicle or an emission behavior of the fuel processing apparatus.