[PDF][PDF] 基于SSA-GRU 大功率多状态PEMFC 寿命预测

张宸铭, 张达 - 科学技术与工程, 2024 - stae.com.cn
摘要提出了一种用于最大额定功率为110 kW 的质子交换膜燃料电池(proton exchange
membrane fuel cell, PEMFC) 剩余使用寿命的麻雀搜索算法优化门控循环单元的方法 …

Prediction of PEMFC remaining life based on XGBoost-RFECV algorithm and LSTM neural network

常家康, 吕宁, 詹跃东 - Journal of Electronic Measurement and …, 2023 - jemi.cnjournals.com
针对质子交换膜燃料电池 (PEMFC) 寿命预测方法中 PEMFC 特征对其寿命的影响程度未知和
模型预测精度低的问题, 提出一种基于 XGBoost-RFECV 算法和长短期记忆 (LSTM) 神经网络的 …

[PDF][PDF] 基于XGBoost-RFECV 算法和LSTM 神经网络的PEMFC 剩余寿命预测

常家康, 吕宁, 詹跃东 - 电子测量与仪器学报, 2022 - jemi.cnjournals.com
针对质子交换膜燃料电池(PEMFC) 寿命预测方法中PEMFC 特征对其寿命的影响程度未知和
模型预测精度低的问题, 提出一种基于XGBoost-RFECV 算法和长短期记忆(LSTM) …

动态工况下基于WOA-BiGRU 的PEMFC 性能退化预测

杨柳, 王巍 - 重庆理工大学学报(自然科学), 2024 - clgzk.qks.cqut.edu.cn
质子交换膜燃料电池(protonexchangemembranefuelcell, PEMFC) 是重要的现代可持续能源
发电装置, 准确估计其性能退化对实际应用至关重要. 传统的数据驱动方法缺少对老化机制的 …

Decay Prediction of Multi-State High-Power Pemfc Based on Multi-Input

D Du, C Zhang - Available at SSRN 4590191 - papers.ssrn.com
The service life of the proton exchange membrane fuel cell (PEMFC) is an important
condition to ensure their use on large trucks. In order to select the most relevant data from …

Performance Decay Prediction Model of Proton Exchange Membrane Fuel Cell Based on Particle Swarm Optimization and Gate Recurrent Unit​

Z Zhao, Y Fu, Z Wang, J Pu, S Shen, D Ma… - Available at SSRN … - papers.ssrn.com
The durability of proton exchange membrane fuel cells (PEMFC) is an important issue that
restricts their large-scale application. In order to improve their reliability during use, this …

Remaining useful life prediction for fuel cell based on support vector regression and grey wolf optimizer algorithm

K Chen, S Laghrouche, A Djerdir - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Remaining useful life prediction is an important way to improve the durability and reduce the
cost of the proton exchange membrane fuel cell. This paper presents a novel method to …

[引用][C] 基于粒子滤波和遗传算法的氢燃料电池剩余使用寿命预测

谢宏远, 刘逸, 候权, 徐心海 - 东北电力大学学报, 2021

[引用][C] 质子交换膜燃料电池剩余使用寿命预测方法综述及展望

李奇, 刘嘉蔚, 陈维荣 - 中国电机工程学报, 2019

[引用][C] 质子交换膜燃料电池的寿命预测研究

刘浩 - 2019 - 博士学位论文]. 杭州: 浙江大学