ECU Diagnosis Rate Optimization via Adaptive Detection Conditions
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Solution Overview
Problem
Existing fault diagnosis systems face challenges in achieving the minimum requirement rate for certain diagnosis items due to difficult-to-satisfy detection conditions, especially for low rate achievers, which can be exacerbated by changing regulations and vehicle usage patterns.
Innovation Solution
An electronic control unit (ECU) is configured with a power controller and a calculation processor that generates control information to prioritize and adjust detection conditions for diagnosis items based on their rate achieve ratios, ensuring that low rate achievers are diagnosed more easily by setting detection conditions in an ascending order of calculated ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the detection condition for system diagnosis items is set with many assumptions (engine rotation number and throttle valve opening degree in specific ranges continuously), then the diagnosis accuracy is improved, but the diagnosis rate becomes difficult to achieve the minimum requirement rate
Solution Approach 1:
The patent applies dynamics by making the detection conditions adaptable and changeable based on actual vehicle operation status. Instead of fixed rigid conditions, the system dynamically adjusts detection thresholds and parameters according to real-time operating data, allowing diagnosis to proceed under varying vehicle states while maintaining accuracy. This resolves the contradiction by enabling diagnosis rate improvement without sacrificing diagnostic precision.
Solution Approach 2:
The patent changes the parameters of detection conditions from fixed values to adjustable ranges based on operation status. By modifying detection parameters dynamically according to vehicle operating conditions (such as adjusting thresholds based on current engine load, temperature, or speed), the system achieves both high diagnosis accuracy and improved diagnosis rate, as diagnoses can be performed across broader operational contexts.
2Reliability
If forceful operation of actuator is performed for monitoring purpose, then the diagnosis of certain diagnosis items is enabled, but the satisfaction of diagnosis detection condition becomes situation dependent and precarious
Solution Approach 1:
The patent applies self-service by enabling the diagnosis system to automatically assess and determine whether detection conditions are satisfied based on real-time vehicle operation data, without requiring manual intervention or forced actuator operations. The system self-evaluates operational status against diagnostic requirements and autonomously proceeds with diagnosis when conditions are met, improving both reliability and ease of operation.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors vehicle operation status and uses this information to determine detection condition satisfaction. By feeding back real-time operational data to the diagnosis logic, the system can reliably determine whether diagnosis should proceed without forced actuator operations, making the process both reliable and operationally straightforward.
3Adaptability or versatility
If new or different diagnosis detection conditions that are more difficult to satisfy are added by regulations, then the diagnosis coverage is improved, but achieving the minimum requirement rate becomes more difficult
Solution Approach 1:
The patent applies dynamics by designing a flexible detection condition framework that can adapt to new regulatory requirements without fixed rigid thresholds. The system dynamically adjusts detection parameters based on actual vehicle operation data, enabling it to accommodate expanded diagnosis coverage while maintaining the ability to achieve minimum requirement rates through adaptive condition satisfaction rather than forced operations.
Data Source
AI summary
An Electronic Control Unit (ECU) includes a diagnosis control request calculator, a power controller, a vehicle behavior monitor and the like. The ECU performs an auto-drive of a vehicle, during which a vehicle power source is controlled by the ECU for improving a rate achieve ratio of a fault diagnosis item. The ECU obtains vehicle information from a drive support ECU, a navigation device and the like. The ECU performs a control for improving a rate achieve ratio during the auto-drive. The ECU ranks the diagnosis items by the rate achieve ratios, i.e., from a low achiever diagnosis item toward a high achiever diagnosis item. The rate achieve ratio of the low achiever diagnosis item is improved by the ECU, by changing a controllable-state detection condition within a detection condition range.