Fuel Cell Minimum Voltage Estimation via Group Monitoring

The patent introduces an estimation device as an intermediary that calculates the minimum cell voltage based on group voltage measurements and statistical relationships. Instead of directly measuring every cell voltage, the system uses group measurements as intermediaries to infer individual cell voltages through estimation algorithms, thereby reducing monitor complexity while maintaining measurement precision.

The patent creates a virtual copy of the minimum cell voltage value through estimation rather than direct physical measurement. The estimation device generates an estimated minimum cell voltage value that replicates the information obtained from direct measurement, allowing the system to achieve the same monitoring capability with reduced hardware complexity.

The patent implements dynamic estimation methods that adapt to different operating conditions. The estimation device adjusts its calculation approach based on the detected group voltages and operational state, using multiple estimation methods and selecting the most appropriate one for the current condition. This dynamic adaptation maintains reliability across varying voltage conditions, particularly addressing the wider voltage variation in lower voltage cells.

The patent changes the parameters used for estimation based on operating conditions. Instead of using a fixed estimation formula, the system adjusts estimation parameters such as the relationship between group voltage and individual cell voltage based on detected conditions. This parameter adaptation ensures reliable minimum cell voltage detection across different operational states, particularly when voltage variations are wide.