scholarly journals Artificial intelligence-based multi-objective optimisation for proton exchange membrane fuel cell: a literature review

Author(s):  
Zhiming Feng ◽  
Jian Huang ◽  
Shan Jin ◽  
Guanqi Wang ◽  
Leo Chen

<p>Proton exchange membrane fuel cells (PEMFCs) are promising devices for conversing chemical energy into electrical energy due to their versatile properties, such as high power density, quick start-up, lower operating temperature, and portability, etc. For PEMFC technology to outperform the incumbent technologies, artificial intelligence (AI) based multi-objective optimisation (AI-MOO) has been employed to facilitate the design and applications of PEMFC since AI-MOO is flexible enough to consider various factors simultaneously in the customized multiple objective functions and under new or updated case situations. This review provides a comprehensive literature survey on AI-MOO employed in PEMFC field. Firstly, AI-MOO were introduced in detail, including the definition, categories and framework. Then the objectives, intelligent algorithms and trade-off methods that are commonly used in PEMFC were tabularised and evaluated. The application of AI-MOO in PEMFC were summarised systematically based on the application areas, including the PEMFC components, kinetics and thermodynamics, control and monitoring systems, the overall performance, and the hybrid systems. The related studies were tabularised and discussed, especially algorithms, variables, objectives and optimisation results. Finally, <a>this review addressed the current challenges in the research area and proposed research implications for future investigations.</a></p>

2021 ◽  
Author(s):  
Zhiming Feng ◽  
Jian Huang ◽  
Shan Jin ◽  
Guanqi Wang ◽  
Leo Chen

<p>Proton exchange membrane fuel cells (PEMFCs) are promising devices for conversing chemical energy into electrical energy due to their versatile properties, such as high power density, quick start-up, lower operating temperature, and portability, etc. For PEMFC technology to outperform the incumbent technologies, artificial intelligence (AI) based multi-objective optimisation (AI-MOO) has been employed to facilitate the design and applications of PEMFC since AI-MOO is flexible enough to consider various factors simultaneously in the customized multiple objective functions and under new or updated case situations. This review provides a comprehensive literature survey on AI-MOO employed in PEMFC field. Firstly, AI-MOO were introduced in detail, including the definition, categories and framework. Then the objectives, intelligent algorithms and trade-off methods that are commonly used in PEMFC were tabularised and evaluated. The application of AI-MOO in PEMFC were summarised systematically based on the application areas, including the PEMFC components, kinetics and thermodynamics, control and monitoring systems, the overall performance, and the hybrid systems. The related studies were tabularised and discussed, especially algorithms, variables, objectives and optimisation results. Finally, <a>this review addressed the current challenges in the research area and proposed research implications for future investigations.</a></p>


2019 ◽  
Vol 166 (14) ◽  
pp. F1112-F1116 ◽  
Author(s):  
Junning Wen ◽  
Dechun Si ◽  
Shangshang Wang ◽  
Han Ding ◽  
Chaoming Li ◽  
...  

2021 ◽  
Author(s):  
Hongying Tang ◽  
Kang Geng ◽  
Lei Wu ◽  
Junjie Liu ◽  
Zhiquan Chen ◽  
...  

Abstract Conventional proton exchange membrane fuel cells (PEMFCs) operate at a narrow temperature range, either under low temperature conditions (80‒90°C) using fully-humidified perfluorosulfonic acid (Nafion®) membranes or under non-humidified high temperature conditions (140‒180°C) using phosphoric acid (PA)-doped membranes to avoid water condensation-induced PA leaching. To allow wide operational flexibility over the full spectrum of temperature and humidity ranges, we present an innovative design strategy by using PA-doped intrinsically ultramicroporous membranes constructed from rigid and contorted high free volume polymers. The membranes with an average ultramicropore radius of 3.3 Å showed a significant siphoning effect as confirmed by the delocalization of PA in 31P NMR, thus allowing high retention of PA even under highly humidified conditions and presenting more than three orders of magnitude higher proton conductivity retention than conventional dense PA-doped polybenzimidazole membranes (PBI/PA). The resulting PEMFCs display impressive performance over a much broader temperature range from − 20 to 200°C and can accomplish over 100 start-up/shut-down cycles even at − 20°C. The broad operational flexibility rendered from the high PA-retention can ultimately simplify heat and water management and thereby reduce PEMFC costs.


Author(s):  
Sang-Yeop Lee ◽  
In-Gyu Min ◽  
Hyoung-Juhn Kim ◽  
Suk Woo Nam ◽  
Jaeyoung Lee ◽  
...  

Due to the advantage of fuel cells over secondary batteries such as long operation time, many efforts were executed in order to use fuel cells as main power sources of small electronic devices such as laptop computers and mobile phones. For the same reason, fuel cells are promising power sources for the hazardous mission robots. Fuel cells are able to increase their radius action through extension of operation time. Despite this advantage, there still exist technical barriers such as increasing power density, efficient hydrogen storage, and fast startup of the power system. First, in order to increase power density, the united stack including proton exchange membrane fuel cells (PEMFC) and membrane humidifying cells were developed. Also, the hydrogen generating system using NaBH4 solution was employed to store hydrogen effectively. In addition, to shorten start-up time, hybrid control of PEMFC and Li-ion battery was adopted. The approaches mentioned above were evaluated. The developed PEMFC/humidifier stack showed high performance. As compared with full humidification condition by external humidifiers, the performance decrease was only 1% even though hydrogen was not humidified and air was partially humidified. Besides, by integrating the PEMFC and the humidifier into a single stack, considerable space for tubing between them was saved. Also, the hydrogen generator operated well with the PEMFC system and allowed for effective fuel storing and refueling. In addition, due to the efficient hybrid control of PEMFC and battery, start-up time was significantly shortened and capacity of PEMFC was reduced, resulting in compactness of the power system. In conclusion, a 600 W PEMFC power system was developed and successfully operated with the robot. Through development and evaluation of the PEMFC power system, the possibility of PEMFC as a novel power source for the hazardous mission robot was verified.


Sign in / Sign up

Export Citation Format

Share Document