Traffic Control Device Optimizing Regenerative Power via Parameter Adjustment
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Solution Overview
Problem
Existing traffic control methods fail to achieve sufficient energy saving as they require a large number of predefined traveling patterns, leading to increased simulation time and inefficiencies in identifying an optimized operation schedule, especially when these patterns do not conform to inter-station distances or route states like gradients.
Innovation Solution
A traffic control device that sets adjustment values for station stop times and departure intervals, calculates power consumption and regenerative power, and uses evaluation values to identify optimal values for energy saving, reducing the number of required traveling patterns and simulating operations efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the number of traveling patterns is increased to conform to inter-station distances and route states, then energy saving is improved, but simulation time is increased
Solution Approach 1:
The patent segments the traveling pattern into a basic pattern and adjustment values. Instead of creating multiple complete traveling patterns for different conditions, the system uses one basic traveling pattern and adjusts it through parameter modifications (station stop times, departure intervals, speed adjustments) to adapt to various inter-station distances and route states, thereby reducing simulation time while maintaining energy optimization capability
Solution Approach 2:
The patent changes parameters of a single basic traveling pattern rather than creating multiple fixed patterns. By adjusting parameters such as station stop times, departure intervals, and speed modifications based on inter-station distance and route conditions, the system achieves adaptation to different scenarios without increasing the number of patterns, thus reducing simulation time while optimizing power consumption
2Loss of energy
If multiple traveling patterns are prepared to conform to different route states, then energy saving is improved, but device complexity is increased
Solution Approach 1:
The patent creates a universal basic traveling pattern that can serve multiple functions by accepting adjustment values for different route conditions. This single pattern structure handles various inter-station distances, gradients, and operational requirements through parameter adjustment rather than requiring separate patterns for each condition, thereby reducing system complexity while maintaining energy optimization
Solution Approach 2:
The patent transforms static multiple traveling patterns into a dynamic single pattern system. The basic traveling pattern dynamically adapts to different route states through adjustment values that modify station stop times, departure intervals, and speed profiles based on real-time conditions, eliminating the need for multiple fixed patterns and reducing overall system complexity
Data Source
AI summary
Adjustment values, including a station stop time or a departure interval, are set for each vehicle. Next, the set adjustment values and a traveling pattern are used to calculate the power consumption by and regenerative power from each vehicle when in operation for each time point. Next, the total vehicle power at each time point is calculated by subtracting the total regenerative power from braking vehicles from the total power consumption by powering vehicles one a per time point basis. Next, a positive value or a negative value is extracted from the total vehicle power at each time point. Next, an evaluation value is calculated using the absolute value of the total of the extracted values. Next, adjustment values that produce the smaller evaluation value are identified.