Rail Vehicle Adhesion Control via Sensor-Based Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional traction and braking controls in rail vehicles cannot accurately detect and adapt to the dynamic conditions of adhesion between the wheel and rail, leading to inefficient use of adhesion and increased wear due to reliance on fixed rules and simple strategies.
Innovation Solution
A method and device that utilize sensor data and models to determine the actual conditions between the wheel and rail, allowing for real-time adjustment of braking and driving forces to optimize adhesion utilization, minimizing wear and ensuring safety by accounting for local and temporal fluctuations in adhesion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional fixed-rule traction and braking controls are used, then the control system is simple and easy to operate, but the adhesion utilization is inefficient and wheel-rail wear increases
Solution Approach 1:
The patent implements a feedback mechanism by continuously monitoring wheel-rail adhesion conditions through sensor systems and adjusting braking/traction forces in real-time based on the determined adhesion state. This closed-loop control allows the system to adapt to changing adhesion conditions while maintaining operational simplicity through automated decision-making algorithms.
Solution Approach 2:
The control system transitions from static fixed rules to dynamic adaptive control by continuously determining the actual adhesion state and adjusting braking/traction forces accordingly. The system dynamically modifies control parameters based on real-time conditions, enabling optimal adhesion utilization without compromising ease of operation.
2Device complexity
If conventional simple strategies to increase adhesion are used, then the control system remains simple, but wheel and rail wear increases significantly
Solution Approach 1:
The patent changes the control parameter from simple force application to adaptive force modulation based on determined adhesion state. By modifying the braking and traction forces according to the actual wheel-rail conditions, the system minimizes wear while maintaining control simplicity through automated parameter adjustment.
Solution Approach 2:
The patent replaces mechanical wear-based adhesion improvement strategies with a sensor-based detection and model-based control system. This substitution uses electronic sensing and computational algorithms to optimize adhesion utilization, eliminating the need for mechanical interventions that cause wear.
3Device complexity
If conventional controls react only after adhesion insufficiency occurs, then the control logic is simple, but safety and performance are compromised
Solution Approach 1:
The patent implements preliminary action by determining the adhesion state before initiating braking or traction events. The system proactively assesses wheel-rail conditions and prepares appropriate control strategies in advance, preventing adhesion insufficiency rather than reacting to it after occurrence.
Solution Approach 2:
The system uses continuous feedback from sensor measurements to maintain an updated understanding of adhesion conditions, enabling proactive adjustments to braking and traction forces before slip or loss of adhesion occurs. This feedback-driven approach enhances safety while keeping control logic manageable through automated decision-making.
4Reliability
If the maximum usable adhesion is adapted in real-time, then safety and wear reduction are improved, but the measurement and control system becomes more complex
Solution Approach 1:
The patent employs a universal sensor system and model framework that can determine adhesion state across various operating conditions and vehicle types. The model-based approach provides a unified method for interpreting sensor data and determining adhesion conditions, reducing the need for multiple specialized systems while achieving enhanced safety and wear reduction.
Solution Approach 2:
The patent introduces a model-based intermediary layer that translates sensor measurements into adhesion state determination. This intermediary model acts as a mediator between raw sensor data and control decisions, simplifying the overall system architecture while enabling real-time adaptation to adhesion conditions for improved safety and wear reduction.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables optimal distribution of braking or driving forces based on real-time adhesion conditions, maximizing traction while minimizing wear and ensuring safe operation by adapting to varying adhesion levels.
Implementation Method 1
optimizing the utilization of frictional locking between a wheel and a rail
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The invention relates to a method for optimizing the utilization of frictional locking between a wheel and a rail, wherein model values (12) for further variables are determined by means of a model (20) from measured values (10) that can be measured by means of an available sensor system of a rail vehicle, a state (14) between the wheel and the rail is determined from the measured values (10) and the model values (12), and the braking force or drive force acting between the wheel and the rail is controlled in accordance with the determined state (14) between the wheel and the rail. The invention further relates to a device for optimizing the utilization of frictional locking.