Hydrogen Filling Control Method for Abnormality Detection
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Solution Overview
Problem
Current fuel filling systems for hydrogen tanks in fuel cell vehicles face challenges in accurately determining abnormalities in sensors and tanks during filling, leading to prolonged refilling times due to reduced flow rates needed for accurate temperature prediction, which is inaccurate due to heat dissipation and short prediction windows.
Innovation Solution
A control method that determines a filling mode based on detected sensor values and unique tank information, including heat release characteristics and volume, to predict physical quantities like temperature and pressure, allowing continuous verification and interruption of filling if inconsistencies are found, thus maintaining high accuracy without lengthening refilling time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the flow rate during initial filling is reduced to raise prediction accuracy of temperature inside the hydrogen tank, then the determination accuracy of abnormalities is improved, but the time required in refilling lengthens
Solution Approach 1:
The patent applies preliminary action by pre-acquiring unique information about the hydrogen tank (volume, material, shape, insulation properties) before filling begins. This information is used to calculate a correction coefficient that compensates for heat dissipation effects, allowing accurate temperature prediction without reducing the filling flow rate. The correction coefficient is calculated in advance based on tank characteristics and filling conditions, enabling high-speed filling while maintaining prediction accuracy.
Solution Approach 2:
The patent changes the parameter used for temperature prediction from relying solely on standard thermodynamic models to using a corrected model that incorporates a correction coefficient derived from unique tank information. This parameter change allows the system to account for heat dissipation effects specific to each tank, improving prediction accuracy without requiring reduced flow rates. The correction coefficient adjusts the predicted temperature values to match actual tank behavior under high-speed filling conditions.
2Measurement precision
If the prediction window is extended to account for heat dissipation effects, then the prediction accuracy is improved, but the determination of abnormalities becomes less accurate due to significant temperature fluctuation
Solution Approach 1:
The patent applies parameter changes by introducing a correction coefficient that specifically compensates for heat dissipation effects. Instead of extending the prediction window and dealing with large temperature fluctuations, the system modifies the temperature prediction model by applying this correction coefficient. This allows the system to maintain a short prediction window while still accounting for heat dissipation, thereby preserving both prediction accuracy and abnormality determination reliability.
Solution Approach 2:
The patent creates a corrected temperature prediction model that copies the standard prediction approach but adjusts it with a correction coefficient derived from unique tank information. This copied and modified model accurately predicts temperature while compensating for heat dissipation, allowing the system to maintain short prediction windows and reliably detect abnormalities without being misled by heat dissipation effects.
3Ease of manufacture
If standard temperature prediction methods are used without unique tank information, then the filling process is simple, but the prediction accuracy is insufficient due to heat dissipation effects
Solution Approach 1:
The patent applies preliminary action by pre-acquiring and storing unique information about the hydrogen tank (volume, material, shape, insulation properties) before the filling process. This information is used to calculate a correction coefficient that compensates for heat dissipation effects. The system maintains simplicity by automatically using this pre-acquired information without requiring complex real-time measurements or adjustments during filling, thus improving prediction accuracy while keeping the process simple.
Solution Approach 2:
The patent applies self-service by having the system automatically use the unique tank information and correction coefficient to adjust temperature predictions during filling. The system self-corrects for heat dissipation effects without requiring external intervention or complex manual adjustments, maintaining ease of operation while improving prediction accuracy through the use of tank-specific characteristics.
Data Source
AI summary
A control method for a hydrogen filling system is provided. A hydrogen filling system (S) includes a vehicle (V) that sends unique information (V, MC) of the hydrogen tank and detected values (T, P) of sensors, and a station (9) that determines a filling mode based on this information (V, MC, P, T), and fills hydrogen to the tank in this determined mode. A station ECU (95) calculates predicted values (T′, P′) of the temperature and pressure inside of the hydrogen tank during filling of hydrogen based on the unique information (V, MC), continuously confirms whether the detected values (T, P) of the sensors and the predicted values (T′, P′) match while filling fuel, and in the case of an inconsistency between the detected values and predicted values being confirmed, interrupts filling of fuel in the filling mode determined based on the unique information.