Fuel Cell Airflow Sensor Calibration Using Thermal Feedback
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Solution Overview
Problem
Existing fuel cell systems face challenges in accurately measuring the flow rate of oxygen supplied due to variations in temperature and humidity, which affect the performance and output of the fuel cell, necessitating a precise tuning of flow rate sensors.
Innovation Solution
A vehicle control apparatus that includes processors, memory, a fuel cell stack, an air compressor, temperature sensors, and flow rate sensors, which maps sensing values to flow rate values using data from temperature changes in the coolant and air compressor, enabling accurate control of air flow to the fuel cell stack.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a flow rate sensor is used to measure air flow to the fuel cell stack, then the flow rate can be monitored, but temperature and humidity variations cause measurement inaccuracies
Solution Approach 1:
The system continuously monitors temperature and humidity conditions and uses this feedback to dynamically adjust and recalibrate the flow rate sensor readings. The control apparatus compares actual temperature and humidity data against reference values and applies correction factors to the flow rate measurements in real-time, ensuring accurate measurements despite environmental variations.
Solution Approach 2:
The patent changes the measurement parameters by introducing temperature and humidity as additional measured variables that affect the flow rate calculation. By incorporating these parameters into the measurement model, the system compensates for their influence on the flow rate sensor output, transforming the measurement approach from direct flow rate detection to a compensated calculation based on multiple parameters.
2Productivity
If the air intake system is replaced to improve performance, then oxygen supply can be enhanced, but the flow rate sensor requires retuning
Solution Approach 1:
The flow rate sensor performs self-tuning by automatically adapting to the new air intake system characteristics. The control apparatus guides the sensor through a calibration process where it measures actual air flow under various operating conditions and autonomously adjusts its internal parameters to match the new system, eliminating the need for manual retuning by technicians.
Solution Approach 2:
The system performs preliminary calibration measurements during the tuning process to establish the relationship between sensor readings and actual flow rates before normal operation begins. By conducting these measurements in advance under controlled conditions, the system prepares the sensor for accurate operation with the new air intake system, preventing measurement errors from the start.
3Measurement precision
If temperature compensation is implemented to improve measurement accuracy, then flow rate precision can be maintained, but system complexity increases
Solution Approach 1:
The control apparatus performs multiple functions using the same temperature and humidity sensors, including flow rate compensation, performance monitoring, and system diagnostics. By making these sensors multi-functional, the system achieves temperature compensation without adding dedicated hardware, thereby maintaining measurement precision while limiting the increase in system complexity.
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
This approach allows for precise tuning of flow rate sensors, enhancing the accuracy of oxygen flow measurement and improving the fuel cell's performance by minimizing the impact of temperature and humidity variations.
Implementation Method 1
a fuel cell, which converts the energy contained in a fuel into electrical energy, may include an electrolyte arranged between a cathode and an anode to cause oxidation of hydrogen at the anode and reduction of oxygen at the cathode, thereby generating electricity and heat together
Implementation Method 2
an air compressor... driven at a first revolutions per minute (RPM)... supplying air to the fuel cell stack via the air compressor
Implementation Method 3
a temperature sensor... determine, based on second data, from the temperature sensor, collected during the first time: a first amount of change in a temperature of a coolant flowing via a cooler, and a second amount of change in a temperature of the air compressor
Implementation Method 4
a flow rate sensor... determine, based on first data, from the flow rate sensor, associated with air supplied to the fuel cell stack... a first sensing value for measuring a flow rate of air
Data Source
AI summary
A vehicle control apparatus may identify a first sensing value for measuring a flow rate of air corresponding to a first RPM while the air is supplied to a fuel cell stack from an outside of the vehicle control apparatus by driving an air compressor based on the first RPM, obtain a first amount of change in a temperature of a coolant flowing using a cooler and a second amount of change in a temperature of the air compressor during a first time during which the air compressor is driven based on the first RPM, obtain a first flow rate value representing the flow rate of the air supplied to the fuel cell stack by using the first amount of change in the temperature of the coolant and the second amount of change in the temperature of the air compressor.