Hydrogen Fueling Model Updates Using Vehicle and Station Data
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Solution Overview
Problem
Conventional hydrogen fueling processes in hydrogen fueled mobility lack efficiency, speed, and real-time operability, and do not utilize state-of-the-art information and communications technologies for precise control and validation based on real-time on-site data.
Innovation Solution
A hydrogen fueling test method and system that utilizes real-time on-site data to update a model for hydrogen fueling processes, incorporating artificial neural networks and model predictive control to enhance precision and safety, allowing active control of temperature and pressure in hydrogen tanks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional hydrogen fueling processes are used, then the fueling process can be completed, but the efficiency and speed of the fueling process are insufficient
Solution Approach 1:
The patent implements a feedback mechanism where the control device receives real-time state information (temperature, pressure, flow rate) from sensors during the fueling process, compares it with target values, and dynamically adjusts the fueling rate to optimize both speed and safety, thereby improving fueling efficiency and reducing time loss
Solution Approach 2:
The patent transitions from static fueling rates to dynamic fueling control by continuously adjusting the fueling parameters based on real-time tank state changes, enabling the system to adapt to varying conditions and maximize fueling speed while maintaining safety constraints
2Reliability
If real-time control of hydrogen fueling is implemented, then the safety and precision are improved, but the system complexity increases
Solution Approach 1:
The control device performs multiple functions including receiving state information, calculating target states, controlling fueling rates, and managing thermal effects, thereby improving safety through integrated control without proportionally increasing system complexity
Solution Approach 2:
The patent replaces complex mechanical control systems with electronic control and computational algorithms, using software-based models to predict tank state changes and optimize fueling parameters, thereby achieving high reliability with reduced hardware complexity
3Measurement precision
If conventional fueling models are used, then the modeling process is simple, but the prediction accuracy of hydrogen state changes is insufficient
Solution Approach 1:
The patent incorporates multiple dynamic parameters (temperature, pressure, flow rate, thermal capacity) into the fueling model to accurately predict hydrogen state changes, improving measurement precision by capturing the complex thermodynamic behavior of hydrogen during rapid fueling
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
Enhances the efficiency and speed of hydrogen fueling while ensuring safety, enabling precise modeling and control of the fueling process using real-time on-site data, and improving prediction accuracy.
Implementation Method 1
the hydrogen supply system plays a role of changing a pressure condition of the hydrogen safely stored in the hydrogen fuel storage tank from a high pressure to a low pressure
Implementation Method 2
The hydrogen electric vehicle produces electrical energy by supplying the high-pressure hydrogen stored safely in a hydrogen fuel storage tank and the oxygen introduced through an air supply system to a fuel cell stack and causing an electrochemical reaction between the hydrogen and the oxygen to occur
Implementation Method 3
A thermal management system may release heat generated while the fuel cell stack undergoes an electrochemical reaction to the outside and circulate cooling water to maintain a temperature of the fuel cell stack within a certain range
Data Source
AI summary
A method according to an embodiment of the present disclosure comprises the steps of: transmitting, to a hydrogen fueled mobility, hydrogen fueling control-related information affecting the state of hydrogen in a mobility tank of the hydrogen fueled mobility; acquiring, as a feedback to the hydrogen fueling control-related information, on-site data on a change in the state of hydrogen in the mobility tank; and on the basis of the on-site data on a change in the state of hydrogen in the mobility tank, corresponding to the hydrogen fueling control-related information, updating a model for a hydrogen fueling process for the hydrogen fueled mobility, corresponding to the hydrogen fueling control-related information.