Hydrogen Fueling Control Using Model Prediction for Pressure and Temperature
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Solution Overview
Problem
The conventional hydrogen fueling/supply process for hydrogen fueled mobility is inefficient, slow, and not suitable for large-scale hydrogen fueling, lacking integration with advanced information and communications technologies (ICT).
Innovation Solution
A hydrogen fueling method based on model predictive control and an artificial neural network, which acquires current state measurement values, predicts next state values, and generates control commands to optimize the hydrogen fueling process, ensuring real-time operability and safety by managing temperature and pressure within set limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional hydrogen fueling/supply process is used, then safety is maintained through basic control, but efficiency is low and fueling speed is slow
Solution Approach 1:
The patent implements dynamic control of the fueling process by continuously adjusting the pressure ramp rate based on real-time temperature and pressure measurements. The control system dynamically modifies fueling parameters to optimize the balance between fueling speed and safety, rather than using fixed conventional control methods.
Solution Approach 2:
The patent employs a feedback control mechanism where temperature and pressure sensors continuously monitor the compressed hydrogen storage system, and the control system adjusts the fueling rate based on these measurements. This closed-loop feedback enables real-time optimization of fueling speed while maintaining safety constraints.
2Productivity
If faster fueling is implemented, then productivity increases, but temperature and pressure control becomes more difficult
Solution Approach 1:
The patent changes the control parameter from fixed conventional settings to a dynamic pressure ramp rate that is continuously adjusted based on real-time temperature and pressure measurements. This parameter change enables faster fueling while maintaining safety by adapting the fueling rate to actual system conditions.
Solution Approach 2:
The control system performs preliminary calculations of the optimal pressure ramp rate based on predicted temperature and pressure changes. By pre-calculating optimal control parameters before fueling begins and adjusting them in real-time, the system achieves complex control objectives without requiring overly complex real-time control mechanisms.
3Ease of operation
If conventional control methods are used, then system simplicity is maintained, but real-time operability and speed are insufficient
Solution Approach 1:
The patent implements real-time feedback control where sensor measurements of temperature and pressure are continuously fed back to the control system, which immediately adjusts the fueling rate. This real-time feedback loop significantly improves response time and real-time operability compared to conventional open-loop control methods.
Solution Approach 2:
The control system transitions from static conventional control to dynamic real-time control, where control parameters are continuously adjusted based on real-time system state. This dynamic approach enables the system to respond quickly to changing conditions while maintaining ease of operation through automated control.
Data Source
AI summary
A hydrogen fueling method for a hydrogen fueled mobility is based on model predictive control, and includes steps of: obtaining a measurement value of a current state; predicting or obtaining a next state value by using a model predictive control technique based on the measurement value of the current state; and generating a control command for hydrogen fueling based on a comparison result between the measurement value of the current state and the next state value.