Vehicle Sensor Diagnosis Using Neighboring Vehicle Reference Values
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle diagnosis systems face challenges in accurately diagnosing sensor abnormalities due to variations in sensor types and external environments, leading to difficulties in correctly identifying sensor issues beyond external factors.
Innovation Solution
A diagnosis apparatus and system that utilize vehicle-to-vehicle communication to acquire detection values from neighboring vehicles, estimate appropriate values based on these values, and compare them with the host vehicle's detection values to determine the operation state of sensors, incorporating confidence coefficients and positional information for accurate diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If vehicle-to-vehicle communication is used to acquire detection values from neighboring vehicles, then the need for separate external environment data acquisition is eliminated, but sensor type variations cause detection value differences even under the same external environment
Solution Approach 1:
The patent changes the parameter of comparison from raw detection values to standardized values that are normalized by sensor type and confidence coefficient. This allows detection values from different sensor types to be compared on a common scale, resolving the issue where sensor type variations prevent accurate diagnosis despite using vehicle-to-vehicle communication data
Solution Approach 2:
The patent introduces confidence coefficient as an intermediary parameter that mediates between detection values from different sensor types. The confidence coefficient quantifies the reliability of each detection value based on sensor type matching, allowing the system to weigh and compare values from different sensors appropriately, thus enabling accurate diagnosis while using diverse vehicle data
2Productivity
If detection values from multiple sensor types are compared directly, then data from more vehicles can be utilized, but accurate diagnosis becomes difficult due to inherent differences in detection values across sensor types
Solution Approach 1:
The patent transforms detection values into standardized values by applying normalization based on sensor type characteristics. This parameter change allows the system to utilize detection values from multiple sensor types and vehicles simultaneously while maintaining diagnostic accuracy, as each value is adjusted to account for its sensor type's inherent detection characteristics
Data Source
AI summary
A diagnosis apparatus includes a detection value and appropriate value acquisition unit configured to acquire a detection value of first equipment mounted in a first vehicle and an appropriate value of the detection value of the first equipment, an appropriate value estimation unit configured to estimate an appropriate value of a detection value of second equipment mounted in at least one second vehicle within a predetermined range from the first vehicle based on the detection value of the first equipment and the appropriate value of the detection value of the first equipment, and a diagnosis unit configured to compare the detection value of the second equipment with the appropriate value of the detection value of the second equipment to perform diagnosis of an operation state of the second equipment.