Railway Rolling Stock Energy Efficiency Control
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Solution Overview
Problem
Current railway train operation efficiency relies heavily on driver experience and uses average specifications, leading to inaccurate energy consumption management due to deviations in traction characteristics over time and varying environmental conditions, which reduces the locomotive's usable traction effort significantly.
Innovation Solution
The method involves estimating actual dependencies of traction and braking characteristics, wheel-to-rail traction coefficient, and resistance to movement to calculate optimal control inputs for the train's traction and braking equipment, using parameters like speed, coordinates, and overhead contact system voltage, and transmitting these inputs to the train's control system for efficient energy use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If average specifications of train are used for control, then device complexity is reduced, but manufacturing precision and operational accuracy deteriorate due to deviations in traction characteristics
Solution Approach 1:
The system dynamically changes control parameters (traction effort, braking force) based on actual measured conditions rather than using fixed average specifications. Sensors monitor wheel-to-rail traction coefficient, resistance to movement, and train weight in real-time, allowing the control system to adapt parameters to current operational conditions, thereby maintaining accuracy without excessive complexity
Solution Approach 2:
The control system automatically adjusts traction and braking parameters based on real-time sensor data from the train itself, eliminating the need for complex external control infrastructure. The train's own operational data feeds the control algorithm, enabling self-regulation that balances simplicity with precision
2Productivity
If actual traction characteristics are measured and used for control, then operational efficiency is improved, but loss of information is reduced and measurement precision requirements increase
Solution Approach 1:
The system implements continuous feedback loops where sensors measure actual traction characteristics (wheel-to-rail coefficient, resistance to movement) and feed this data back to the control system. This real-time feedback enables dynamic adjustment of control parameters, improving operational efficiency while the feedback mechanism itself handles the complexity of precise measurement requirements
Solution Approach 2:
The control system integrates multiple measurement functions into a single unified platform that handles traction effort, braking force, wheel-to-rail coefficient, and resistance to movement simultaneously. This multi-functional approach reduces overall system complexity while maintaining high measurement precision across all parameters
3Adaptability or versatility
If deviation from average traction specifications is accommodated, then adaptability to varying conditions is improved, but loss of energy increases due to suboptimal control decisions
Solution Approach 1:
The control system transitions from static average-based parameters to dynamic parameter adjustment based on real-time conditions. The system continuously monitors actual traction characteristics and dynamically recalculates optimal control inputs, enabling adaptation to varying wheel-to-rail coefficients, resistance changes, and train weight variations while minimizing energy consumption through optimal control
Solution Approach 2:
The system replaces mechanical trial-and-error adaptation with computational optimization. Rather than physically adjusting components to match average specifications, the control algorithm computationally determines optimal traction and braking parameters based on actual measured conditions, reducing energy loss while adapting to varying operational environments
Data Source
AI summary
The invention is intended for conserving energy expended by railway rolling stock, for instance by a locomotive when carrying out train operations and shunting, when trains are run in an automatic mode or in a train operator assistance mode. A method for increasing the efficiency of rolling stock includes the following steps: obtaining the parameters of the rolling stock, including at least the following: speed, coordinates, overhead system voltage, traction engine current voltage, brake line discharging; in addition, determining at least the dependence parameters of an active traction force, braking force, motion resistance force, force of wheel adherence to the rails, and the mass of the rolling stock; then, determining the optimal control to be carried out by traction and braking equipment of railway rolling stock based on the dependence parameters obtained during the previous step; then, transmitting the optimal control, determined during the previous step, to a rolling stock control system for implementation or for displaying to the train operator.