Vehicle State Estimation Using Rough Set Rule Segmentation
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Solution Overview
Problem
Current vehicle state estimation systems face challenges in defining detailed vehicle states while managing increased processing loads and communication data, especially as vehicle states change dynamically, leading to inefficiencies in data processing and communication.
Innovation Solution
A vehicle state estimation system utilizing rough set theory to manage a rule set of definition rules, where vehicle data is used as condition attributes and state is the decision attribute, allowing for the selection of specific data common to a specific state, reducing the amount of data needed for estimation and processing load, and enabling real-time capability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle state is defined in detail, then the accuracy of vehicle state estimation is improved, but the amount of information to be processed and recorded increases
Solution Approach 1:
The patent segments the vehicle data into two categories: important data that is common to all vehicles of the same type, and unimportant data that varies between vehicles. The management server stores and manages the important data segments, while the terminal device processes and transmits only the unimportant data segments. This segmentation allows for detailed vehicle state estimation using the managed important data, while reducing the overall information processing burden by excluding redundant unimportant data.
2Measurement precision
If the vehicle state is defined in detail, then the accuracy of vehicle state estimation is improved, but the processing load of the controller increases
Solution Approach 1:
The patent introduces a management server as an intermediary between the terminal device and the data storage system. The management server performs the complex task of managing and processing the important vehicle data, while the terminal device's processing load is reduced to only handling the unimportant data. This intermediary approach enables detailed vehicle state estimation without overburdening the terminal controller's processing capabilities.
3Measurement precision
If the vehicle state is defined in detail, then the accuracy of vehicle state estimation is improved, but the communication data amount increases
Solution Approach 1:
The patent extracts and separates the important data from the complete vehicle data set. The management server manages the extracted important data, which is common to all vehicles of the same type, while the terminal device only needs to process and transmit the remaining unimportant data. This extraction approach enables accurate vehicle state estimation using the managed important data, while significantly reducing the communication data amount by excluding the unimportant data from transmission.
Data Source
AI summary
According to the present invention, a state estimation control device installed in a vehicle manages a rule set, which is a set of defined rules that are defined by rough set theory, which uses various vehicle data as conditional attributes and the state of the vehicle as the determining attribute. The state estimation control device acquires vehicle data of the vehicle that is the estimation objective, and estimates the state of the vehicle by referencing the rule set based on the acquired vehicle data.