Article
Chemistry, Physical
Wu Yujing, Zhou Hongxiu, Zhang Ao, Zhao Leqing
Summary: The research shows that flowing electrode direct methanol fuel cell (FEDMFC) effectively reduces methanol crossover rate while maintaining high power densities. Increasing flow rate can decrease crossover rate but will affect efficiency and stability, with optimal flow rate controlled at 1-3 sccm.
JOURNAL OF POWER SOURCES
(2022)
Article
Chemistry, Physical
Alper Can Ince, Mustafa Fazil Serincan, C. Ozgur Colpan
Summary: This paper aims to identify the irreversibilities in the condenser of a direct methanol fuel cell (DMFC) system and present possible enhancements in its design through local entropy generation analysis (L-EGA). The study calculates the local entropy generation terms originating from heat and mass transfer in the condenser under variable operating conditions. The results show differences in irreversibilities due to heat and mass transfer, and the exergy destruction ratio provides an estimation of the condenser's exergy performance.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Energy & Fuels
Anders Christian Olesen, Soren Knudsen Kaer, Torsten Berning
Summary: Direct-methanol fuel cell (DMFC) systems are relatively simple, but accurately controlling the mixture of methanol and water is a key challenge. Computational fluid dynamics can provide fundamental understanding of this. This paper presents a three-dimensional, steady-state, two-phase, multi-component and non-isothermal DMFC model that can account for various transport phenomena. The model is validated against experimental measurements and used to study the impact of volume porosity and capillary pressure on performance.
Article
Electrochemistry
Mohamed E. Abdelrahman, Hanguang Zhang, Gang Wu, Xianglin Li, Shawn Litster
Summary: In this study, a platinum group metal-free Fe-N-C catalyst derived from metal organic framework precursors was evaluated for the cathode side of a direct methanol fuel cell. The catalyst exhibited high performance under liquid methanol and air operation, with the cathode contributing significantly to the voltage loss. Improvements in catalyst layer fabrication were identified through nanoscale X-ray computed tomography.
ELECTROCHIMICA ACTA
(2022)
Article
Biochemistry & Molecular Biology
Aser Alaa Ahmed, Malik Al Labadidi, Ahmed T. Hamada, Mehmet Fatih Orhan
Summary: This study provides an overview of the fundamentals, principles, and evaluation factors of direct methanol fuel cells (DMFCs), and conducts a parametric investigation on a JENNY 600S DMFC. The study finds that increasing the operating temperature of the fuel cell improves its output voltage, but decreases its maximum efficiency limits.
Article
Biophysics
Liliana P. T. Carneiro, Nadia S. Ferreira, Ana P. M. Tavares, Alexandra M. F. R. Pinto, Adelio Mendes, M. Goreti F. Sales
Summary: This work presents an electrochemical sensor with a biomimetic plastic antibody film for the detection of carcinoembryonic antigen (CEA), integrated in the electrical circuit of a direct methanol fuel cell (DMFC). The sensor showed high sensitivity and selectivity, demonstrating linear responses in different media and operating well in the presence of human serum.
BIOSENSORS & BIOELECTRONICS
(2021)
Article
Materials Science, Multidisciplinary
Thanarajan Kumaresan, Dineshkumar Ponniyan, Mathan Chandran, Jegathishkumar Ramasamy, Velarasan Venkatachalam, Karthikeyan Palaniswamy, Senthilarasu Sundaram
Summary: In this study, the overall performance of a direct methanol fuel cell with an active area of 100 cm(2) was experimentally tested under different operating situations. The most influencing parameters, such as anode flow rate, cathode reactant, and cathode flow rate, were compared in terms of their performance output. Additionally, the performance of different cathode flow channels, namely serpentine and sinuous, were compared to improve reactant supply. Using sinuous flow field at the cathode and specific methanol and oxygen flow rates, a maximum power density of 24 mW/cm(2) was achieved.
Article
Energy & Fuels
Haibo Gan, Hai Sun
Summary: This paper presents a novel methanol sensor-less startup control (SLSC) algorithm for direct methanol fuel cells (DMFCs), based on the unimodal relationship of current vs. methanol concentration. Experimental results showed that the SLSC algorithm is capable of starting a DMFC under various initial concentrations and temperatures, and can be adjusted to reduce startup time or improve energy efficiency.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Qiang Li, Dezhi Ming, Liang Fang, Xu Guo, Mao Lei, Jialin Liu
Summary: The research investigated the formation of CO2 bubbles in the anode microchannels of direct methanol fuel cells, and found that applying a DC electric field can effectively control the movement characteristics of CO2, thus reducing the anodic polarization effect.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Electrochemistry
Mariano Asteazaran, German Cespedes, Silvina Bengio, Ana Maria Castro Luna
Summary: One of the significant drawbacks of Direct Methanol Fuel Cells is high overpotential for the methanol oxidation reaction, as well as CO poisoning of Pt. In this study, electrocatalysts with suitable properties and outstanding performance have been developed by synthesizing PtCu and PtCuRu materials through a simple and scalable process. The materials were further treated to enhance their surface with a higher density of active sites and surface defects. The trimetallic catalysts showed a substantial reduction in CO electrooxidation and improved methanol oxidation performance.
JOURNAL OF APPLIED ELECTROCHEMISTRY
(2023)
Article
Chemistry, Multidisciplinary
Muralikrishna Boni, Surapaneni Srinivasa Rao, Golagani Naga Srinivasulu
Summary: This experimental study investigated the performance of passive direct methanol fuel cells (DMFC) with respect to the activation of the membrane electrode assembly (MEA), methanol concentration, bolt tightening torque, and stability of the fuel cell stack. The results showed that the fuel cell performance was enhanced with increasing methanol concentration from 1 M to 5 M and then decreased. Furthermore, increasing the bolt torque from 4 N-m to 7 N-m improved the fuel cell performance, but exceeding the optimal torque led to a decrease in performance.
KOREAN JOURNAL OF CHEMICAL ENGINEERING
(2022)
Article
Energy & Fuels
Luis Blanco-Cocom, Salvador Botello-Rionda, L. C. Ordonez, S. Ivvan Valdez
Summary: This study proposes a new semi-empirical mathematical model for DEFC simulations at different temperatures by introducing temperature-dependent parameter forms. The model is combined with a distribution algorithm to find the best numerical simulation that reproduces the experimental polarization curve. The method is validated by estimating parameters from experimental data and can be used to reduce physical experimentation and test different designs and operation settings.
Article
Chemistry, Physical
Haibo Gan, Hai Sun, Yujiang Song
Summary: This paper presents an advanced sensor-less method for monitoring methanol concentration in the rest cycle of a DMFC. The rationality of the method is confirmed through sensitivity analysis experiments and the accuracy is assessed through 1,900 experiments under random conditions. The results demonstrate the desired accuracy and stability of the sensor-less method, suggesting promising applications in various scenarios.
JOURNAL OF POWER SOURCES
(2023)
Article
Engineering, Environmental
Wei Wuen Ng, Hui San Thiam, Yean Ling Pang, Yun Seng Lim, Jianhui Wong, Lip Huat Saw
Summary: In this study, a self-healable proton exchange membrane (PEM) with methanol-blocking properties was successfully demonstrated by assembling sulfonated graphene oxide (SGO) with Nafion and poly(vinyl alcohol) (PVA). The hybrid membrane showed higher proton conductivity and better methanol-blocking effect compared to recast Nafion, and exhibited excellent performance in a single DMFC.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)
Article
Engineering, Environmental
Diyan ul Imaan, Fasil Qayoom Mir, Babar Ahmad
Summary: The proton exchange membranes fabricated using polyvinyl alcohol and alpha alumina show high mechanical stability and thermal performance as well as other important parameters like water uptake and ion exchange capacity. In DMFC testing, the membranes exhibit good performance at 60 degrees Celsius.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Hongzhan Ma, Xuening Chu, Deyi Xue, Dongping Chen
JOURNAL OF INTELLIGENT MANUFACTURING
(2019)
Article
Computer Science, Artificial Intelligence
Zhaoxia Zhang, Qing Jiang, Rujing Wang, Liangtu Song, Zhengyong Zhang, Yuanyuan Wei, Tao Mei, Biao Yu
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
(2019)
Article
Engineering, Industrial
Lei Zhang, Xuening Chu, Deyi Xue
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2019)
Article
Computer Science, Artificial Intelligence
Junjie Huang, Zhiling Wang, Huawei Liang, Linglong Lin, Biao Yu, Fei Dong, Yan Xu
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
(2020)
Article
Green & Sustainable Science & Technology
Zhifeng Liu, Jun Yan, Qiang Cheng, Congbin Yang, Shuwen Sun, Deyi Xue
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Chemistry, Multidisciplinary
Hui Zhang, Huawei Liang, Xiang Tao, Yi Ding, Biao Yu, Rengui Bai
Summary: The paper proposes a hierarchical driving force distribution and control strategy for six-wheel drive skid-steering electric unmanned ground vehicles, utilizing a nine-degrees-of-freedom dynamics model and integral sliding mode control and PID control methods in the upper layer controller. The lower layer controllers adopt a driving force distribution method to allocate torques to the six motors, achieving better vehicle maneuverability and stability.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Civil
Ruochen Yin, Yong Cheng, Huapeng Wu, Yuntao Song, Biao Yu, Runxin Niu
Summary: This article proposes a lane marking semantic segmentation method based on LIDAR and camera image fusion using a deep neural network. By merging camera images and LIDAR point clouds and incorporating a long short-term memory structure for time series information, the proposed method achieves accurate semantic segmentation of bird's-eye view LIDAR point clouds, significantly improving the automation of high-precision map construction.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Mechanical
Kang Huang, Jiandong Li, Zicheng Zhu, Biao Yu
Summary: This paper presents an adaptive robust control method to balance the uncertain Cubli system on its corner. By establishing a dynamic model and applying Lyapunov theory for stability verification, the effectiveness of the control method is demonstrated.
TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING
(2022)
Article
Physics, Multidisciplinary
Biao Yu, Hui Zhu, Deyi Xue, Liwei Xu, Shijin Zhang, Bichun Li
Summary: This research introduces an optimization-based dead reckoning calibration scheme that uses a differential global positioning system to improve the quality and efficiency of parameter calibration for intelligent vehicles. The scheme minimizes the difference between dead reckoning and global positioning system positions to achieve better calibration. Experiments demonstrate the effectiveness of the proposed scheme.
Article
Engineering, Civil
Weixin Huang, Huawei Liang, Linglong Lin, Zhiling Wang, Shaobo Wang, Biao Yu, Runxin Niu
Summary: This paper proposes a fast point cloud ground segmentation approach based on a coarse-to-fine Markov random field (MRF) method, which utilizes an improved local feature extraction algorithm to achieve more accurate and computationally efficient ground segmentation. Experimental results demonstrate that the proposed approach outperforms traditional methods and is faster compared to graph-based methods.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Environmental Sciences
Hui Zhu, Xinkai Kuang, Tao Su, Ziyu Chen, Biao Yu, Bichun Li
Summary: In this paper, a dual-constraint LiDAR-based SLAM scheme is proposed to address the influence of fewer feature points and dynamic obstacles on location and mapping in off-road environments. By abstracting LiDAR registration into in-window constraints and out-of-window constraints, the scheme achieves a compromise between accuracy and real-time performance, while providing richer constraint information through optimized variables. The advantages of incremental SLAM map construction are utilized to design various map forms. Experimental results demonstrate the scheme's superiority in accuracy compared to mainstream LiDAR SLAM schemes.
Article
Engineering, Electrical & Electronic
Hao Xu, Xiang Dong, Wenxuan Wu, Biao Yu, Hui Zhu
Summary: Three-dimensional object detection is crucial in autonomous driving for environment perception, and current pillar-based methods have shortcomings in overlapping and occluded scenes. To address this, we propose an improved pillar-based network with a two-stage pillar feature-encoding module, enhancing the model's ability to distinguish objects and reducing under-segmentation and false detections. Experimental results on the KITTI dataset show significant improvements in detection accuracy compared to PointPillars, particularly for car, pedestrian, and cyclist 3D detection.
WORLD ELECTRIC VEHICLE JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Chen Hua, Runxin Niu, Biao Yu, Xiaokun Zheng, Rengui Bai, Song Zhang
Summary: In a complex off-road environment, generating a safe and effective global route is crucial for unmanned ground vehicles (UGVs). This research proposes a method that considers terrain factors and soil mechanics to plan the global route, using a high-resolution 3D terrain model and an improved A* algorithm.
Article
Engineering, Civil
Shaobo Wang, Pan Zhao, Biao Yu, Weixin Huang, Huawei Liang
JOURNAL OF ADVANCED TRANSPORTATION
(2020)
Article
Engineering, Manufacturing
Guanying Huo, Xin Jiang, Cheng Su, Zehong Lu, Yuwen Sun, Zhiming Zheng, Deyi Xue
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING
(2019)
