Vehicle Control Apparatus Speed Bump Sloshing Mitigation
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Solution Overview
Problem
Conventional vehicle control systems fail to effectively reduce sloshing when a vehicle encounters speed bumps, relying solely on driver judgment and brake/accelerator control, which can compromise ride comfort and safety.
Innovation Solution
A vehicle control apparatus equipped with a distance sensor, speed sensor, and processor that uses a prediction model to calculate optimal braking or accelerating intensity based on vehicle speed and weight to minimize sloshing by controlling the brake or accelerator when approaching a speed bump.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the vehicle speed is not reduced when approaching a speed bump, then the ride comfort deteriorates and sloshing increases, but maintaining speed causes load to be applied to the vehicle
Solution Approach 1:
The system performs preliminary action by detecting the speed bump in advance using a distance sensor and calculating the optimal braking intensity before the vehicle reaches the speed bump. The processor determines the appropriate braking force based on predicted sloshing characteristics, allowing the driver to apply brakes smoothly and reduce sloshing before it becomes severe, rather than reacting after the vehicle has already encountered the bump.
2Object-affected harmful factors
If conventional vehicle control systems rely solely on driver judgment for brake control, then the system complexity remains low, but the ride comfort and sloshing reduction capability deteriorate
Solution Approach 1:
The system implements feedback by using a distance sensor to detect the speed bump's position and distance, then feeding this information to the processor which calculates the optimal braking intensity. This closed-loop feedback mechanism allows the system to automatically adjust braking recommendations based on real-time distance measurements, significantly improving sloshing reduction compared to conventional systems that rely solely on driver judgment without automated feedback.
Solution Approach 2:
The system replaces the purely mechanical/manual brake control system with an intelligent control system that uses sensors and processors to automatically calculate and recommend optimal braking intensity. This substitution transforms the manual mechanical control into an automated intelligent system that considers vehicle speed, weight, and distance to the speed bump, thereby reducing sloshing while maintaining manageable system complexity.
3Object-affected harmful factors
If the brake is operated with high braking intensity to reduce sloshing, then the ride comfort improves, but the vehicle stability may be compromised and energy consumption increases
Solution Approach 1:
The system applies parameter changes by dynamically adjusting the braking intensity parameter based on multiple inputs including vehicle speed, vehicle weight, and distance to the speed bump. Rather than using fixed high or low braking intensity, the processor calculates the optimal braking parameter that achieves sufficient sloshing reduction while minimizing energy consumption. This adaptive parameter adjustment allows the system to use only the necessary braking force, avoiding excessive energy waste.
Data Source
AI summary
A vehicle control apparatus is disclosed. The vehicle control apparatus includes a distance sensor configured to sense a distance from a speed bump, a speed sensor configured to sense a speed of a vehicle, a vehicle driver configured to control an operation of a brake or an operation of an accelerator, and a processor configured to provide an input parameter comprising a speed and a weight of the vehicle to a prediction model and control the vehicle driver so that the brake is operated at a braking intensity outputted from the prediction model when the vehicle enters the speed bump on the basis of the distance from the speed bump.


