Jing Shan

TL;DR: In this paper, the operation parameters of PEMFC were optimized by the orthogonal experiment method, which met the requirements of the fuel cell parameter optimization test under steady working condition.

TL;DR: In this article, the effects of the driving cycle, which is composed of idle condition, accelerated condition and overload condition, on the durability of fuel cell were investigated, and various techniques were applied to investigate the degradation mechanism during driving cycle.

TL;DR: In this article, an in-situ segmented cell testing technology is used to analyze the degradation mechanism of MEA during start-up and shut-down cycles, which demonstrated that the cell suffered current reversal and the performance of the fuel cell significantly decreased after 1800 cycles.

TL;DR: Li et al. as discussed by the authors proposed a new fault diagnosis algorithm based on binary matrix encoding neural network called BinE-CNN, which extracted high-dimensional features through binary encoding, and the feature maps are transferred to a convolutional neural network (CNN) to realize seven-category fault classification.