Automatic Train Operation Traction Distribution for Energy-Saving Control

The patent applies feedback by using actual train operation data (traction current, speed, position) to continuously evaluate and update the performance of different traction distribution strategies. The system calculates actual energy consumption based on measured parameters and uses this feedback to determine the optimal strategy, closing the loop between model prediction and real-world performance.

The patent changes the approach from using a fixed energy consumption model to dynamically evaluating multiple traction distribution strategies based on actual operational parameters. It calculates performance indices using real-time data including traction current, speed, and position, rather than relying on a predetermined model that may not reflect actual conditions.

The patent implements dynamics by making the optimal traction distribution strategy adaptable to different track sections and operating conditions. Instead of using a fixed speed curve model, the system dynamically evaluates multiple strategies based on actual train operation data and selects the optimal one for each specific section, allowing the control system to adapt to varying speed requirements and track characteristics.

The patent creates a universal evaluation framework that can handle different track sections and speed requirements through a single adaptive system. The performance index calculation method is universally applicable to various operating conditions, evaluating traction distribution strategies across different scenarios including sections with strict speed requirements, thereby providing multi-functionality without requiring separate control systems for each case.

The patent uses feedback mechanisms to continuously monitor actual train operation parameters (traction current, speed, position) and compare them with planned values. This feedback loop enables the system to calculate actual energy consumption and adjust the traction distribution strategy to minimize energy loss, thereby improving energy-saving effect while maintaining a relatively simple system structure through existing sensors and controllers.

The patent changes the approach from using fixed speed curve models to dynamically optimizing traction distribution based on actual operational parameters. By calculating performance indices using real-time data including traction current, speed, and position, the system identifies strategies that actually minimize energy consumption in practice, rather than relying on theoretical models that may not reflect real-world energy usage patterns.