Fuel Cell Stack Reconditioning Control via Power Estimation
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Solution Overview
Problem
Existing fuel cell stack reconditioning methods are inefficient as they often trigger reconditioning based on vehicle trips or time, leading to unnecessary wet operations that can cause reliability issues and stack degradation, and lack optimal control over humidification levels.
Innovation Solution
A system and method that dynamically trigger reconditioning based on maximum stack power estimation falling below a predetermined threshold and disable reconditioning if the power increase is not significant or if the time between reconditioning triggers is too short, using a controller to manage humidification levels and prevent anode starvation and freeze risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reconditioning is triggered based on vehicle trips or time intervals, then reconditioning frequency is increased to maintain stack performance, but unnecessary wet operations cause reliability issues and stack degradation
Solution Approach 1:
The system changes the triggering parameter from fixed time/trip intervals to dynamic stack power estimation thresholds. By monitoring actual stack performance parameters and comparing against thresholds, the system adapts reconditioning frequency to actual stack condition, avoiding unnecessary operations while maintaining reliability.
Solution Approach 2:
The system implements feedback control by continuously monitoring stack power output and using this information to trigger reconditioning only when performance degradation is detected. The controller receives feedback from power measurements and adjusts reconditioning timing accordingly, preventing both over-reconditioning and under-reconditioning.
2Reliability
If reconditioning is performed frequently to maintain stack performance, then stack performance is improved, but abnormal operation conditions increase causing reliability issues
Solution Approach 1:
The system transitions from static, predetermined reconditioning schedules to dynamic, condition-based triggering. The reconditioning operation becomes adaptive, responding to real-time stack performance measurements rather than following a fixed timetable, thereby performing only when actually needed.
Solution Approach 2:
The system performs preliminary assessment of stack performance through power estimation before triggering reconditioning. By evaluating stack condition in advance using measured parameters and comparing against thresholds, the system determines whether reconditioning is actually required, avoiding unnecessary abnormal operations.
3Reliability
If wet operation is increased to improve humidification during reconditioning, then membrane hydration is improved, but anode starvation and freeze risks increase
Solution Approach 1:
The system uses the fuel cell stack's own power generation capability as the trigger criterion for reconditioning. By monitoring whether the stack can maintain minimum power output, the system ensures that reconditioning is only initiated when the stack has sufficient operational reserve to safely undergo wet operations without causing anode starvation or freeze conditions.
Data Source
AI summary
A system and method for determining when to trigger reconditioning of a fuel cell stack and when to disable the reconditioning of the fuel cell stack. In one embodiment, the stack reconditioning is triggered when a maximum stack power estimation falls below a first predetermined power threshold. The reconditioning of the stack can be disabled so it is not performed when the trigger occurs if the reconditioning process does not raise the maximum power estimation above a second predetermined power threshold or the time from one reconditioning trigger to a next reconditioning trigger is less than a predetermined time threshold, or both.