Fuel Cell Hydrogen Supply Pressure Control via Mode-Based Sensor Correction
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Solution Overview
Problem
Existing hydrogen supply control systems for fuel cell vehicles face errors in hydrogen supply pressure measurements due to sensor inaccuracies, leading to hyper- or hypo-pressurization and potential fuel supply interruptions.
Innovation Solution
A method and system that calculate target hydrogen supply pressure based on required output, operate the fuel supply valve duty, and determine modes for hydrogen supply pressure measurement correction, using a controller to adjust the valve duty based on actual sensor measurements and a preset map, thereby eliminating errors and maintaining stable control values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If average of hydrogen supply pressures measured by two sensors is used to calculate hydrogen supply pressure measurement, then measurement coverage is improved, but measurement precision deteriorates due to sensor errors such as offset, moisture inflow, or incorrect sensing
Solution Approach 1:
The control method segments the measurement process into distinct operational modes (normal mode, high current mode, error mode) based on FSV duty ranges and sensor measurement validity. Each mode applies different calculation strategies: using sensor averages in normal conditions, using map-based predictions with validation in high current conditions, and using error detection logic when sensor readings are invalid. This segmentation allows the system to optimize measurement precision for each specific operating condition while maintaining overall reliability.
Solution Approach 2:
The system changes the measurement calculation parameters dynamically based on operating conditions. When FSV duty exceeds a threshold or sensor errors are detected, the system switches from using actual sensor measurements to using map-based predicted values. The correction value calculation also changes parameters by applying different gain factors (e.g., 0.5 or 0.8) depending on the magnitude of pressure deviation, allowing adaptive adjustment of measurement reliability across different operating ranges.
2Reliability
If FSV duty is corrected based on hydrogen supply pressure measurement, then hydrogen supply control is improved, but system stability deteriorates due to excessive oscillation of control values
Solution Approach 1:
The system implements a feedback mechanism where the calculated correction value is applied to adjust the FSV duty, and this corrected duty is then used to recalculate the target hydrogen supply pressure. The feedback loop includes validation checks that prevent excessive corrections by comparing corrected values against expected ranges and by using map-based predictions as references. This feedback structure improves control reliability while preventing oscillation through bounded correction amounts and reference comparisons.
Solution Approach 2:
The correction mechanism applies partial correction rather than full correction to the FSV duty. The correction value is calculated as a fraction (e.g., 50% or 80%) of the raw error signal, preventing over-correction and excessive oscillation. This partial action approach allows the system to improve control accuracy gradually while maintaining stability, avoiding the harmful effects of aggressive full-correction strategies.
3Measurement precision
If mode-based calculation method is implemented for hydrogen supply pressure measurement, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system uses dynamic mode selection based on real-time operating conditions (FSV duty range, sensor measurement validity, pressure deviation magnitude). The control algorithm automatically transitions between different calculation modes without requiring manual intervention or complex hardware changes. This dynamic adaptation achieves high measurement precision across varying operating conditions while keeping the added complexity manageable through software-based logic rather than hardware complexity.
Data Source
AI summary
A method and a system for controlling hydrogen supply for a fuel cell are provided. The method includes calculating a target hydrogen supply pressure, which is a target pressure value of hydrogen supplied to a fuel cell stack based on a required output. A fuel supply valve (FSV) duty is then adjusted based on the calculated target hydrogen supply pressure and modes are determined based on the FSV duty or actual hydrogen supply pressure measurements of a sensor. A hydrogen supply pressure measurement is calculated according to each of the determined modes and the FSV duty is corrected based on the calculated target hydrogen supply pressure and the hydrogen supply pressure measurement.