Vehicle Diagnostic Test Normalization via Environmental Data
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Solution Overview
Problem
Existing vehicle diagnostic tests are influenced by uncontrolled environmental and operating factors, leading to unreliable and inaccurate results due to lack of consideration for geographic location, weather conditions, usage patterns, and other variables.
Innovation Solution
A system that collects and analyzes data from multiple vehicles to apply normalization functions, adjusting diagnostic test parameters to a common scale based on vehicle identification, operating conditions, and test results, allowing for more accurate assessments by accounting for variations in environmental and usage factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If diagnostic tests are performed in real world conditions without accounting for environmental factors, then the tests can be conducted in practical operating scenarios, but the test results become unreliable and inaccurate
Solution Approach 1:
The patent applies parameter changes by adjusting diagnostic test thresholds and parameters based on environmental conditions such as temperature, humidity, and geographic location. The system modifies test parameters dynamically to account for environmental variations, thereby maintaining measurement accuracy while allowing tests to be performed in real-world conditions rather than controlled environments.
2Device complexity
If diagnostic test parameters are kept fixed and universal, then the test system is simple to implement, but the tests cannot account for variations in geographic location, weather conditions, and usage patterns
Solution Approach 1:
The patent implements dynamics by transitioning from static, fixed test parameters to dynamic parameters that adapt to environmental conditions. The system continuously adjusts diagnostic thresholds based on real-time data about temperature, humidity, geographic location, and vehicle usage patterns, enabling the test specification to remain relatively simple while achieving high reliability across diverse operating conditions.
Solution Approach 2:
The patent applies feedback mechanisms by collecting diagnostic test results and environmental data from multiple vehicles, analyzing this data to identify patterns and adjustments needed, then using this feedback to refine and update test parameters. This closed-loop approach allows the system to maintain simplicity while continuously improving reliability across different geographic locations and weather conditions.
3Ease of manufacture
If diagnostic tests use fixed thresholds without normalization, then the implementation is straightforward, but false positives and false negatives increase due to uncontrolled environmental factors
Solution Approach 1:
The patent applies parameter changes by implementing normalization functions that adjust diagnostic thresholds based on environmental parameters such as temperature and humidity. Rather than using fixed thresholds, the system dynamically modifies these parameters to compensate for environmental effects, thereby reducing false positives and false negatives while maintaining ease of implementation through automated calculations.
Data Source
AI summary
A system comprising a processor is programmed to receive, from a plurality of vehicles, sets of diagnostic test data relating to a performed diagnostic test. Each set of diagnostic test data includes a test output value and one or more corresponding test condition values. The processor is further programmed to select some of the test output values based on selecting a function to relate the test output value to test output values from different sets of diagnostic data. The processor is further programmed to provide the test output value and the corresponding test conditions values as input to the selected function to obtain a plurality of scaled test output values; and generate an adjustment to the diagnostic test based at least in part on the scaled test output values.