Tire-Aware Driving Control Parameters for Vehicle Controllability
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Solution Overview
Problem
Conventional vehicle control systems do not adequately consider tire condition, limiting the controllability of automated driving.
Innovation Solution
An information processing device that communicates with vehicles to acquire tire-related information, calculate driving control parameters based on this data, and transmit them to the vehicle for improved control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional vehicle control systems are used without considering tire condition, then the system complexity remains low, but the vehicle controllability deteriorates
Solution Approach 1:
The system separates tire condition monitoring and control parameter calculation into a distinct information processing device that operates independently from the main vehicle control system. This segmentation allows the vehicle controllability to be improved through tire-specific processing without significantly increasing the overall system complexity, as the tire monitoring function is modular and can be added without redesigning the entire control architecture.
Solution Approach 2:
The information processing device acts as an intermediary between tire sensors and the vehicle control system. It acquires tire-related information, calculates appropriate driving control parameters based on tire conditions, and transmits these parameters to the vehicle control system. This intermediary approach enables improved controllability by providing processed, tire-specific control parameters without requiring direct integration of tire monitoring into the complex existing control architecture.
2Manufacturing precision
If tire-related information is acquired and processed, then the driving control precision is improved, but the information processing requirement increases
Solution Approach 1:
The system extracts only the essential tire-related information needed for control parameter calculation, such as tire pressure, temperature, and wear status, from the vast amount of available vehicle data. By taking out only the critical tire-specific parameters and processing them separately, the system achieves improved driving control precision without the need to process and manage all vehicle information, thus reducing the overall information processing requirement.
Solution Approach 2:
The information processing device transforms raw tire-related information into calculated driving control parameters that are directly applicable to vehicle control. This parameter transformation converts complex tire condition data into simplified control commands, improving driving control precision while reducing the information processing burden on the main vehicle system, as the transformed parameters are more compact and action-oriented.
Data Source
AI summary
In order to improve vehicle controllability, an information processing device 1 that is able to communicate with a vehicle 5 via a network includes a controller, the controller executing operations including acquiring tire-related information, calculating a driving control parameter based on the tire-related information, and transmitting the driving control parameter to the vehicle 5.