scholarly journals Data-driven coordinated control method for multiple systems in proton exchange membrane fuel cells using deep reinforcement learning

2022 ◽  
Vol 8 ◽  
pp. 290-311
Author(s):  
Jiawen Li ◽  
Tiantian Qian ◽  
Tao Yu
Keyword(s):  
Fuel Cells ◽  
Reinforcement Learning ◽  
Proton Exchange Membrane ◽  
Control Method ◽  
Coordinated Control ◽  
Proton Exchange ◽  
Data Driven ◽  
Multiple Systems ◽  
Exchange Membrane

scholarly journals Data-Driven Control for Proton Exchange Membrane Fuel Cells: Method and Application

2021 ◽  
Vol 9 ◽  
Author(s):  
Jiawen Li ◽  
Kedong Zhu ◽  
Tao Yu
Keyword(s):  
Fuel Cells ◽  
Pid Controller ◽  
Proton Exchange Membrane ◽  
Control Method ◽  
Proton Exchange ◽  
Data Driven ◽  
Air Supply ◽  
Optimal Control Method ◽  
Policy Gradient ◽  
Exchange Membrane

A data-driven optimal control method for an air supply system in proton exchange membrane fuel cells (PEMFCs) is proposed with the aim of improving the PEMFC net output power and operational efficiency. Moreover, a marginal utility-based double-delay deep deterministic policy gradient (MU-4DPG) algorithm is proposed as a an offline tuner for the PID controller. The coefficients of the PID controller are rectified and optimized during training in order to enhance the controller’s performance. The design of the algorithm draws on the concept of marginal effects in Economics, in that the algorithm continuously switches between different forms of exploration noise during training so as to increase the diversity of samples, improve exploration efficiency and avoid Q-value overfitting, and ultimately improve the robustness of the algorithm. As detailed below, the effectiveness of the control method has been experimentally demonstrated.

scholarly journals Model-Based Data Driven Approach for Fault Identification in Proton Exchange Membrane Fuel Cell

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3144
Author(s):  
K. V. S. Bharath ◽  
Frede Blaabjerg ◽  
Ahteshamul Haque ◽  
Mohammed Ali Khan
Keyword(s):  
Fuel Cells ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Data Driven ◽  
Fault Classification ◽  
Fault Identification ◽  
Support Vector ◽  
Model Based ◽  
Data Limitations ◽  
Exchange Membrane

This paper develops a model-based data driven algorithm for fault classification in proton exchange membrane fuel cells (PEMFCs). The proposed approach overcomes the drawbacks of voltage and current density assumptions in conventional model-based fault identification methods and data limitations in existing data driven approaches. This is achieved by developing a 3D model of fuel cells (FC) based on semi empirical model, analytical representation of electrochemical model, thermal model, and impedance model. The developed model is simulated for membrane drying and flooding faults in PEMFC and their effects are identified for the action of varying temperature, pressure, and relative humidity. The ohmic, concentration, activation and cell voltage losses for the simulated faults are observed and processed with wavelet transforms for feature extraction. Furthermore, the support vector machine learning algorithm is adapted to develop the proposed fault classification approach. The performance of the developed classifier is tested for an unknown data and calibrated through classification accuracy. The results showed 95.5% training efficiency and 98.6% testing efficiency.

Control of proton exchange membrane fuel cells using data driven state space models

2010 ◽  
Vol 88 (7) ◽  
pp. 861-874 ◽  
Author(s):  
R.N. Methekar ◽  
S.C. Patwardhan ◽  
R. Rengaswamy ◽  
R.D. Gudi ◽  
V. Prasad
Keyword(s):  
Fuel Cells ◽  
State Space ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
State Space Models ◽  
Data Driven ◽  
Using Data ◽  
Exchange Membrane

scholarly journals Multi-physics-resolved digital twin of proton exchange membrane fuel cells with a data-driven surrogate model

Energy and AI ◽  
2020 ◽  
Vol 1 ◽  
pp. 100004 ◽  
Author(s):  
Bowen Wang ◽  
Guobin Zhang ◽  
Huizhi Wang ◽  
Jin Xuan ◽  
Kui Jiao
Keyword(s):  
Fuel Cells ◽  
Surrogate Model ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Data Driven ◽  
Digital Twin ◽  
Exchange Membrane

Highly proton conductive membranes based on carboxylated cellulose nanofibres and their performance in proton exchange membrane fuel cells

2019 ◽  
Author(s):  
Valentina Guccini ◽  
Annika Carlson ◽  
Shun Yu ◽  
Göran Lindbergh ◽  
Rakel Wreland Lindström ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Surface Charge ◽  
Proton Exchange Membrane ◽  
Membrane Surface ◽  
Proton Exchange ◽  
Membrane Thickness ◽  
Fuel Cell Performance ◽  
Cellulose Nanofibres ◽  
Exchange Membrane

The performance of thin carboxylated cellulose nanofiber-based (CNF) membranes as proton exchange membranes in fuel cells has been measured in-situ as a function of CNF surface charge density (600 and 1550 µmol g<sup>-1</sup>), counterion (H<sup>+</sup>or Na<sup>+</sup>), membrane thickness and fuel cell relative humidity (RH 55 to 95 %). The structural evolution of the membranes as a function of RH as measured by Small Angle X-ray scattering shows that water channels are formed only above 75 % RH. The amount of absorbed water was shown to depend on the membrane surface charge and counter ions (Na<sup>+</sup>or H<sup>+</sup>). The high affinity of CNF for water and the high aspect ratio of the nanofibers, together with a well-defined and homogenous membrane structure, ensures a proton conductivity exceeding 1 mS cm<sup>-1</sup>at 30 °C between 65 and 95 % RH. This is two orders of magnitude larger than previously reported values for cellulose materials and only one order of magnitude lower than Nafion 212. Moreover, the CNF membranes are characterized by a lower hydrogen crossover than Nafion, despite being ≈ 30 % thinner. Thanks to their environmental compatibility and promising fuel cell performance the CNF membranes should be considered for new generation proton exchange membrane fuel cells.<br>

Latest Trends and Challenges In Proton Exchange Membrane Fuel Cell (PEMFC)

2017 ◽  
Vol 10 (1) ◽  
pp. 96-105 ◽  
Author(s):  
Mohammed Jourdani ◽  
Hamid Mounir ◽  
Abdellatif El Marjani
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Total Cost ◽  
Cell Efficiency ◽  
Technical Advances ◽  
Exchange Membrane

Background: During last few years, the proton exchange membrane fuel cells (PEMFCs) underwent a huge development. Method: The different contributions to the design, the material of all components and the efficiencies are analyzed. Result: Many technical advances are introduced to increase the PEMFC fuel cell efficiency and lifetime for transportation, stationary and portable utilization. Conclusion: By the last years, the total cost of this system is decreasing. However, the remaining challenges that need to be overcome mean that it will be several years before full commercialization can take place.This paper gives an overview of the recent advancements in the development of Proton Exchange Membrane Fuel cells and remaining challenges of PEMFC.

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