Predictive Vehicle Damping Control for Road Shock Absorption
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Solution Overview
Problem
Current damping systems in vehicles experience a time delay in adjusting damping forces in response to shocks and vibrations, leading to an unpleasant ride for passengers due to reduced effectiveness in absorbing road irregularities.
Innovation Solution
A system comprising a sensor arrangement to sense upcoming path characteristics, a software application to predict damping force values, and a control arrangement to automate the adjustment of damping forces through actuators in the vehicle's damping system, allowing for timely and precise regulation of damping forces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If damping force adjustment is made after detecting shocks and vibrations, then the damping system can respond to road conditions, but the time delay reduces the effectiveness of absorbing shocks and vibrations
Solution Approach 1:
The system performs preliminary action by predicting road conditions ahead of the vehicle using sensor data and machine learning models. The damping force is adjusted in advance based on predicted upcoming road irregularities, rather than waiting to detect shocks after they occur. This predictive approach eliminates the time delay inherent in reactive systems.
Solution Approach 2:
The system implements feedback by continuously collecting sensor data from the vehicle and road, processing this information through machine learning models, and using the predictions to adjust damping forces. The system also incorporates feedback from actual road conditions encountered to refine future predictions, creating a closed-loop control system that improves over time.
2Ease of operation
If traditional reactive damping adjustment is used, then the system structure remains simple, but passenger comfort deteriorates due to delayed shock absorption
Solution Approach 1:
The system replaces traditional mechanical feedback-based damping control with an intelligent system using sensors, processors, and machine learning algorithms. Instead of relying solely on mechanical shock detection and hydraulic response, the system uses electronic sensors to gather data, computational models to predict conditions, and electronic control to adjust damping, substituting mechanical reactivity with intelligent prediction.
Solution Approach 2:
The damping system performs self-service by automatically adjusting damping forces based on predictive algorithms without requiring manual intervention. The system autonomously processes sensor data, predicts road conditions, and modifies damping characteristics in real-time, eliminating the need for driver input while continuously optimizing passenger comfort.
Data Source
AI summary
A system for regulating damping force of vehicle, includes a sensor arrangement configured to sense data related to characteristic(s) of an upcoming path of the vehicle; software application executable on user device associated with user, wherein software application is configured to receive sensed data from sensor arrangement communicably coupled with software application; and process sensed data to predict damping force value(s) based on characteristic(s) of upcoming path of vehicle; and control arrangement communicatively coupled with software application and operatively coupled with actuator(s), wherein actuator(s) is coupled with damping system of vehicle, and wherein control arrangement is configured to control actuator(s) to regulate damping force based on predicted damping force value(s).