Study on Humidity Status Fuzzy Estimation of Low-power PEMFC Stack Based on the Softsensing Technology

Abstract

Internal humidity is an important parameter and strongly influences the life and performance of proton exchange membrane fuel cells. However, due to the particularity of the closed structure of the fuel cell, the existing tools and methods cannot directly measure it. Focusing on the low-power fuel cells stack, a method for estimating the humidity of fuel cells based on soft-sensing technology is proposed in this paper. After being combined with the basic concept of fuzzy mathematics, three parameters are taken as the input value of the fuzzy logic soft-sensing model, including the internal resistance, the sum of the initial open-circuit voltage and the battery voltage under the given load current, and the difference between the initial open-circuit voltage and the battery voltage under the given load current. Then the soft-sensing technology model has been established and trained, and the actual runtime data has been adopted to estimate the humidity status. The experimental results proofed and verified the method based on the soft-sensing technology.