Long short-term memory deep learning model for predicting the dynamic performance of automotive PEMFC system

[1]  Siyuan Wu,et al.  Investigation of assisted heating cold start strategies from -40 °C for proton exchange membrane fuel cell stack , 2023, International Journal of Green Energy.

[2]  Deok-Joo Lee,et al.  A cost-effectiveness analysis of fuel cell electric vehicles considering infrastructure costs and greenhouse gas emissions: An empirical case study in Korea , 2022, Sustainable Energy Technologies and Assessments.

[3]  Zirong Yang,et al.  Development of a comprehensive transient fuel cell-battery hybrid system model and rule-based energy management strategy , 2022, International Journal of Green Energy.

[4]  Qing Du,et al.  Degradation prediction of proton exchange membrane fuel cell stack using semi-empirical and data-driven methods , 2022, Energy and AI.

[5]  Yuekuan Zhou,et al.  Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: challenges and future perspectives , 2022, Energy and AI.

[6]  B. Pla,et al.  Effect of dynamic and operational restrictions in the energy management strategy on fuel cell range extender electric vehicle performance and durability in driving conditions , 2022, Energy Conversion and Management.

[7]  Y. Li,et al.  Study of degradation of fuel cell stack based on the collected high-dimensional data and clustering algorithms calculations , 2022, Energy and AI.

[8]  K. Jiao,et al.  Operation Characteristics of Open-Cathode Proton Exchange Membrane Fuel Cell with Different Cathode Flow Fields , 2022, SSRN Electronic Journal.

[9]  Jinrui Chen,et al.  Study on the influence of segmented fuel cell by grooving method and its application in oxygen starvation diagnosis , 2021, International Journal of Hydrogen Energy.

[10]  Yifei Wang,et al.  Thermally Regenerative CO2-Induced pH-Gradient Cell for Waste-to-Energy Conversion , 2021, ACS Energy Letters.

[11]  K. Jiao,et al.  An Artificial Intelligence Solution for Predicting Short-Term Degradation Behaviors of Proton Exchange Membrane Fuel Cell , 2021, Applied Sciences.

[12]  N. Brandon,et al.  Designing the next generation of proton-exchange membrane fuel cells , 2021, Nature.

[13]  Hongwei Li,et al.  Multi-objective optimization of PEM fuel cell by coupled significant variables recognition, surrogate models and a multi-objective genetic algorithm , 2021 .

[14]  M. Ni,et al.  Numerical study of high temperature proton exchange membrane fuel cell (HT-PEMFC) with a focus on rib design , 2021 .

[15]  Shuiguang Tong,et al.  Modeling and dynamic performance research on proton exchange membrane fuel cell system with hydrogen cycle and dead-ended anode , 2021 .

[16]  Guobin Zhang,et al.  “3D+1D” modeling approach toward large-scale PEM fuel cell simulation and partitioned optimization study on flow field , 2020 .

[17]  Kui Jiao,et al.  Multi-physics-resolved digital twin of proton exchange membrane fuel cells with a data-driven surrogate model , 2020 .

[18]  Junhong Zhang,et al.  An Intelligent Approach for Contact Pressure Optimization of PEM Fuel Cell Gas Diffusion Layers , 2020, Applied Sciences.

[19]  K. Jiao,et al.  Life cycle assessment of fuel cell, electric and internal combustion engine vehicles under different fuel scenarios and driving mileages in China , 2020 .

[20]  Bowen Wang,et al.  AI-based optimization of PEM fuel cell catalyst layers for maximum power density via data-driven surrogate modeling , 2020 .

[21]  K. Jiao,et al.  A comprehensive proton exchange membrane fuel cell system model integrating various auxiliary subsystems , 2019 .

[22]  Tao Zeng,et al.  Modelling and predicting energy consumption of a range extender fuel cell hybrid vehicle , 2018, Energy.

[23]  Kui Jiao,et al.  Multi‐phase simulation of proton exchange membrane fuel cell with 3D fine mesh flow field , 2018, International Journal of Energy Research.

[24]  K. Jiao,et al.  A quasi-2D transient model of proton exchange membrane fuel cell with anode recirculation , 2018, Energy Conversion and Management.

[25]  Niusha Shafiabady,et al.  Dynamic modelling of PEM fuel cell of power electric bicycle system , 2016 .

[26]  S. Hochreiter,et al.  Long Short-Term Memory , 1997, Neural Computation.