Engine Misfire Detection Using Road Surface State Variables
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Solution Overview
Problem
Existing state detection systems for internal combustion engines face challenges in accurately detecting variations in combustion state among cylinders due to road surface unevenness, which affects the accuracy of misfire or air-fuel ratio detection by vibrating the crankshaft and complicating the analysis of rotational behavior.
Innovation Solution
A state detection system that utilizes machine learning to combine rotation waveform variables and road surface state variables to determine the combustion state, incorporating parameters learned from data to account for the effects of road surface conditions, thereby enhancing detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If misfire detection is performed based on crankshaft rotation fluctuation pattern, then misfire or air-fuel ratio variation can be detected, but detection accuracy deteriorates due to road surface vibration superimposed on crankshaft rotation
Solution Approach 1:
The patent introduces a road surface state variable as an intermediary factor to mediate between the crankshaft rotation data and the misfire detection algorithm. By incorporating this intermediary variable that represents road surface conditions, the system can distinguish between vibrations caused by misfires and those caused by road surface unevenness, thereby resolving the interference problem while maintaining detection accuracy.
2Reliability
If detection system processes rotation waveform data in real-time, then timely misfire detection is achieved, but computational load on vehicle increases
Solution Approach 1:
The patent segments the detection system into two parts: a vehicle-side execution device that collects and pre-processes data (obtaining rotation waveform variables and road surface state variables), and a remote data analysis device that performs the heavy computational misfire detection. This segmentation transfers the computational burden from the vehicle to a remote server, reducing onboard energy consumption while maintaining timely detection capability through efficient data transmission and processing architecture.
Data Source
AI summary
A state detection system for an internal combustion engine is provided. A detection mapping takes, as inputs, rotation waveform variables and a road surface state variable to output a combustion state variable. The rotation waveform variables include information on a difference between cylinders in the rotational speed NE of a crankshaft during periods in which the respective cylinders generate combustion torque. The combustion state variable relates to a level of variations in combustion state among the cylinders. A determination process performed by an execution device determines whether the internal combustion engine is in a predetermined operating state based on an output value of the detection mapping that takes, as inputs, values of the rotation waveform variables and a value of the road surface state variable.