Vehicle Guidance Control System for Deceleration Point Calculation
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Solution Overview
Problem
Existing vehicle guidance control systems require continuous high-processing-capability calculations for accurate acceleration/deceleration points, leading to increased calculation costs and time, especially when handling multiple parameters and sensor inputs.
Innovation Solution
A guidance control system for two-wheeled vehicles that calculates acceleration/deceleration start points using real-time traveling condition information and stored vehicle information, with an actuator applying a force to the throttle operator to notify the driver of approaching start points, minimizing calculation costs and time by separating information into real-time and static data categories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous real-time calculation with multiple parameters and sensor inputs is used to calculate acceleration/deceleration start points, then calculation accuracy is improved, but calculation cost and calculation time increase
Solution Approach 1:
The patent segments the calculation process by dividing parameters into two categories: traveling condition information (real-time changing parameters like vehicle speed, road shape, weather) and vehicle information (static parameters like vehicle weight, driver weight, tyre specifications). This segmentation allows the system to handle real-time calculations more efficiently by separating dynamically changing data from static data, reducing the overall calculation burden while maintaining accuracy.
Solution Approach 2:
The patent applies preliminary action by storing vehicle information (static parameters) in advance in the controller's memory before actual operation. This pre-storation of vehicle weight, driver weight, tyre specifications, and other static vehicle characteristics eliminates the need to recalculate these values during real-time operation, significantly reducing calculation time and processing load while maintaining calculation accuracy.
2Measurement precision
If continuous real-time calculation with multiple parameters and sensor inputs is used to calculate acceleration/deceleration start points, then calculation accuracy is improved, but system cost increases due to high-processing-capability requirements
Solution Approach 1:
The patent segments the calculation process by dividing parameters into two categories: traveling condition information (real-time changing parameters like vehicle speed, road shape, weather) and vehicle information (static parameters like vehicle weight, driver weight, tyre specifications). This segmentation allows the system to handle real-time calculations more efficiently by separating dynamically changing data from static data, reducing the overall calculation burden while maintaining accuracy.
Solution Approach 2:
The patent applies preliminary action by storing vehicle information (static parameters) in advance in the controller's memory before actual operation. This pre-storation of vehicle weight, driver weight, tyre specifications, and other static vehicle characteristics eliminates the need to recalculate these values during real-time operation, significantly reducing calculation time and processing load while maintaining calculation accuracy.
Data Source
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AI summary
A guidance control system for a vehicle calculates a start point for deceleration operation of the vehicle on the basis of traveling condition information that changes as the vehicle travels and vehicle information that changes only slightly as a result of the travel of the vehicle. If the driver maintains a throttle operator at a given opening angle or more at a specific point before a point suitable to start decelerating, an actuator applies a force to the throttle operator in the direction of closing the throttle, thus notifying the driver that the vehicle is close to the point suitable to start decelerating. The system calculates a start point suitable for deceleration operation of a vehicle with high accuracy using more input values while at the same time keeping calculation cost and time to a minimum.