Rail Vehicle Platooning via Wireless Control
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Solution Overview
Problem
Existing vehicle platooning systems face challenges in achieving high lengthwise density of rail cars, reducing aerodynamic drag, and efficiently managing payload routing and load balancing within rail networks.
Innovation Solution
The proposed system and method enable platooning of electric rail vehicles equipped with advanced sensor suites and powertrains, allowing for dynamic load balancing, coordinated braking, and autonomous operation, which reduces the need for mechanical couplings and inter-car tensile components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional mechanical couplings and inter-car tensile components are used in rail vehicles, then structural strength and reliability are improved, but device complexity and maintenance requirements increase
Solution Approach 1:
The patent removes traditional mechanical couplings and inter-car tensile components from the rail vehicle system. Instead of using physical mechanical connections between cars, the invention employs wireless communication and control systems to coordinate vehicle operations, thereby eliminating complex mechanical coupling mechanisms while maintaining system reliability through electronic control and sensing.
Solution Approach 2:
The invention replaces the mechanical coupling system with an electronic control system. Rather than relying on physical mechanical connections for force transmission and coordination, the system uses sensors, wireless communication, and electronic control units to manage inter-vehicle interactions, substituting mechanical complexity with electronic intelligence.
2Ease of operation
If rail vehicles operate in loose formation with larger gaps between cars, then ease of operation and routing flexibility are improved, but aerodynamic drag increases
Solution Approach 1:
The patent implements dynamic gap adjustment between rail vehicles based on operational conditions. The system can vary the distance between cars in real-time, maintaining tighter formations when aerodynamic efficiency is critical and allowing larger gaps when routing flexibility or operational requirements demand it. This dynamic adjustment optimizes the trade-off between energy loss and operational ease.
Solution Approach 2:
The invention employs sensor systems that continuously monitor gap distances, aerodynamic conditions, and vehicle performance. This feedback information is used by control systems to automatically adjust vehicle positioning and spacing, optimizing the balance between reducing aerodynamic drag and maintaining routing flexibility based on real-time operational needs.
3Productivity
If payload routing is optimized for each individual car, then productivity and operational efficiency are improved, but the need for mechanical couplings and load balancing mechanisms increases device complexity
Solution Approach 1:
The patent replaces mechanical load balancing mechanisms with electronic control systems. Instead of using physical devices to transfer and balance loads between cars, the system uses wireless communication, sensor data, and electronic control to coordinate payload routing decisions, achieving operational efficiency without the complexity of mechanical load balancing hardware.
Solution Approach 2:
The invention enables each vehicle to autonomously determine and execute its own payload routing based on information received from the control system and neighboring vehicles. Each car independently optimizes its payload delivery while coordinating with the overall platoon, eliminating the need for complex centralized mechanical load balancing mechanisms.
Data Source
AI summary
In variants, the system can include a set of vehicles, cooperatively capable of forming a platoon. Each vehicle within the platoon can be configured to operate based on feedback from other vehicles within the platoon. In examples, a vehicle can selectively brake based on feedback from other vehicles within the platoon.