Hydrogen Filling Control for Inter-Vehicle Transfer
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing hydrogen filling systems for fuel cell vehicles lack an efficient method to select the optimal combination of supplier and fillable hydrogen tanks for inter-vehicle hydrogen transfer, relying on differential pressure without considering real-time tank pressures and travel routes.
Innovation Solution
A hydrogen filling control method and system that acquires and compares internal pressure data from multiple vehicles to determine the most suitable hydrogen tank combination for inter-vehicle hydrogen filling, using a data processor and vehicle controllers to manage tank pair data and control the filling process based on requested modes (rapid or close packed) and real-time conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If inter-vehicle hydrogen filling is performed using differential pressure without considering real-time tank pressures, then the filling process can be initiated, but the selection of optimal tank combination is inefficient and may not maximize hydrogen transfer amount or minimize filling time
Solution Approach 1:
The system performs preliminary actions by acquiring internal pressure data from multiple hydrogen tanks in advance, calculating the differential pressure for each tank combination, and determining the optimal tank pair before the filling process begins. This preliminary calculation ensures that the selected combination maximizes hydrogen transfer efficiency while considering real-time pressure conditions.
Solution Approach 2:
The system dynamically adjusts the tank combination selection based on real-time internal pressure data from the hydrogen tanks. By continuously monitoring pressure changes and recalculating optimal combinations, the system adapts to varying conditions to maintain maximum filling efficiency throughout the process.
2Productivity
If multiple hydrogen tanks are monitored and compared to determine optimal tank combination, then hydrogen transfer efficiency is maximized, but the data acquisition and processing complexity increases
Solution Approach 1:
The hydrogen tanks themselves provide the necessary pressure data through their own sensors and communication systems. The system leverages the self-reported data from each tank to automatically determine the optimal combination without requiring external measurement devices or complex manual monitoring.
Solution Approach 2:
The system replaces manual or mechanical methods of determining optimal tank combinations with automated electronic data processing. By using electronic sensors and computational algorithms to analyze pressure data and select the best tank pair, the system reduces the complexity of detection and measurement while improving filling speed.
3Quantity of substance
If the system determines optimal tank combination based on real-time pressure data, then the amount of hydrogen filled is optimized, but the time required for data acquisition and analysis increases
Solution Approach 1:
The system performs preliminary calculations of differential pressure and optimal tank combinations based on real-time pressure data before the filling process begins. By determining the best tank pair in advance, the system maximizes the amount of hydrogen that can be transferred while minimizing the time spent on data processing during the actual filling operation.
Solution Approach 2:
The system rapidly acquires and processes pressure data from multiple tanks, quickly identifying the optimal combination and proceeding immediately to the filling process. This streamlined approach minimizes the time lost to data analysis while ensuring the selected tank combination maximizes hydrogen transfer quantity.
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 efficient selection of hydrogen tank combinations for optimal hydrogen transfer, prioritizing either the amount of hydrogen filled or the filling time, ensuring effective hydrogen management between fuel cell vehicles by leveraging real-time tank pressure data and travel route information.
Implementation Method 1
emergency hydrogen filling is performed from another fuel cell vehicle by using a differential pressure
Data Source
AI summary
A hydrogen filling control method includes: acquiring first and second hydrogen tank data; acquiring third hydrogen tank data; and determining a hydrogen tank combination based on the first, second, and third hydrogen tank data. The first hydrogen tank data includes internal pressure of a first hydrogen tank provided in a first vehicle. The second hydrogen tank data includes internal pressure of a second hydrogen tank provided in the first vehicle. The third hydrogen tank data includes internal pressure of a third hydrogen tank provided in a second vehicle. The hydrogen tank combination indicates which hydrogen tanks to be involved in hydrogen filling, out of the first and second hydrogen tanks provided in the first vehicle, and the third hydrogen tank provided in the second vehicle.