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Functional ceramic support as an independent catalyst layer for direct liquid fuel solid oxide fuel cells

Journal of advanced Ceramics 2023年第3期12卷 474-486页

作者： Jie Luo Kai Zhao Jishi Zhao Jun Li Yihui Liu Dongchu Chen Qing Xu Min Chen School of Materials Science and Hydrogen Energy Foshan UniversityFoshan 528000China Guangdong Key Laboratory for Hydrogen Energy Technologies Foshan UniversityFoshan 528000China Foshan Institute of Environment and Energy Technology Foshan 528000China R&D Center of Hydrogen Energy Standardization Yunfu 527300China Hubei Key Laboratory of Advanced Technology for Automotive Components&Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of TechnologyWuhan 430070China School of Materials Science and Engineering Wuhan University of TechnologyWuhan 430070China

A porous ceramic support is designed as a multi-functional independent catalyst layer for solid oxide fuel cells(SOFCs)running on liquid hydrocarbon *** layer consists of a highly porous Ce_(0.9)Ca_(0.1)O_(2−δ)ceramic backbone and active NiMo catalysts,which could be integrated into the conventional Ni metal containing the anode for internal reforming of the hydrocarbon *** to conventional catalyst layers sintered on the anodes,this independent catalyst layer could be simply assembled on top of the anode without additional sintering,thereby avoiding the mismatch of the thermal expansion coefficient between the catalyst layer and the anode and improving stability of a single ***,a current collector layer could be inserted between the catalyst and the anode to enhance current collection efficiency and electrochemical performance of the single *** 750℃,the independent catalyst layer displays high activity towards the catalytic decomposition of methanol,and the single cell could achieve the maximum power density of 400–500 mW·cm^(−2)in dry ***,by employing the independent catalyst layer,the single cell offers additional in-situ catalyst regeneration capability under the methanol operation *** 10 mL·min−1 air into an anode channel for 5 min is found to be effective to burn out carbon species in the catalyst layer,which reduces the degradation rate of the cell voltage by orders of magnitude from 2.6 to 0.024 mV·h−1 during the operation of 360 h in dry *** results demonstrate the significance of the independent catalyst layer design for direct internal reforming methanol fuel cells.

关键词： independent catalyst layer NiMo-Ce_(0.9)Ca_(0.1)O_(2−δ)catalyst internal reforming methanol solid oxide fuel cell(SOFC)

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Intelligent Vehicle Positioning Method Based on GPS/Lidar/Derivative Data Fusion 3

Intelligent Vehicle Positioning Method Based on GPS/Lidar/De...

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3rd IEEE International Conference on Information Systems and Computer Aided Education, ICISCAE 2020

作者： Wei, Haiyuan Huang, Miaohua Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Hubei Collaborative Innovation Center for Automotive Components Technology Research Center for New Energy and Intelligent Connected Vehicle Wuhan430070 China

ISBN: (纸本)9781728183039

Ensuring the accurate positioning of the vehicle at any time is the key to navigation and path planning in unmanned driving vehicle. Due to the changes and signal attenuation of vehicle-mounted GPS signals when they pass through electric clouds, and the reflection of GPS signals when they encounter glass curtain wall, and under underground garages, tunnels and overpasses, for example, GPS satellite signals cannot be received by vehicle-mounted GPS locator due to the obstruction of buildings. The above-mentioned situations will cause the vehicle GPS positioning signal to be unstable or even missing. And the current positioning method based on lidar has become the mainstream positioning method for unmanned vehicles. However, under bad weather conditions, the detection capability of infrared waves will be greatly attenuated, and the stability of lidar positioning will also be affected. Therefore, this paper introduces an unmanned driving vehicle positioning method based on GPS/lidar/derivative data fusion when the environment map is known. That is, when the GPS signal is good and the lidar is in good weather conditions, the vehicle can be accurately positioned by GPS/lidar/derivation fusion. While the GPS positioning signal or lidar positioning is unstable and in the event of a short absence, it is still can achieve accurate positioning of intelligent vehicles through a derivation-based approach. The experimental data and MATLAB software simulation results show that the horizontal error of vehicle positioning is within the range of 14.3cm and the longitudinal error is within the range of 8.8cm, within 5 seconds after the lidar and GPS signals are lost simultaneously. © 2020 IEEE.

关键词： Optical radar

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Optimization and Scheduling Method for the Operation of Hydrogen-Thermal-Electric Multi-Energy Flow Microgrid System Considering Uncertainty in New Energy Vehicle Load Demand 6

Optimization and Scheduling Method for the Operation of Hydr...

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6th International Conference on Power and Energy technology, ICPET 2024

作者： Zhou, Xianyi Zhang, Rui Du, Banghua Xie, Changjun Li, Zihao Cao, Junhui School of Automation Wuhan University of Technology Wuhan China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China

ISBN: (纸本)9798350375855

To ensure the stable operation of the hydrogen-electric-thermal multi-energy flow system under the impact of New Energy Vehicle (NEV) loads and to improve the system's economic efficiency, this paper proposes an optimization and scheduling method for the operation of the hydrogen-electric-thermal multi-energy flow microgrid system considering the uncertainty of NEV load demand. Firstly, a simulation prediction model for NEV loads and a model for the hydrogen-electric-thermal multi-energy flow microgrid system are established. Secondly, an optimization model for scheduling is established with the system's economic benefits as the objective function, taking into account the NEV load. Finally, the feasibility of the proposed method is verified using the MATLAB platform. The results indicate that this optimization method effectively meets the real-time load demand of the system and reduces the impact of loads on the grid. Compared to dispatch based solely on fixed energy supply plans, this optimization method reduces electricity purchased from the grid, decreases reliance on the main grid, and improves the system's energy utilization efficiency by approximately 7%. Although operational costs may slightly increase, the overall economic benefits are better. © 2024 IEEE.

关键词： Load flow optimization

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Modal analysis of school bus body frame

Modal analysis of school bus body frame

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作者： Tian, Zhe Wen Wei, Yu Gang Si, Hao Jie Mei, Xiao Ming Kuang, Yong Hubei Key Laboratory of Advanced Technology of Automobile Parts School of Automobile Wuhan University of Technology Wuhan 430070 China Dong Feng Touring Car Co Ltd Xiangyang 441000 China

ISBN: (纸本)9783038351221

In the process of exploiting and trial-manufacturing the bus school, we find the small stiffness is insufficient, and there exits such phenomenon that small skin fractures and deformations. This paper Builds a three-dimensional model of the school bus by using CATIA software, and then imports the model into Workbench software, establishing a body frame finite model for free modal analysis. Analyzing the free modal of the body frame based on Workbench, we get the body frame's inherent frequency and vibration mode, and evaluate the body frame vibration characteristics, and put forward improvement proposal on the problem of body frame. © (2014) Trans Tech Publications, Switzerland.

关键词： Modal analysis

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Influence law of different rotational speed ratios on vertical double drive rolling accuracy of large cone 10

Influence law of different rotational speed ratios on vertic...

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2024 10th International Conference on Applied Materials and Manufacturing technology, ICAMMT 2024

作者： Song, Yanli Shen, Changrui Wang, Xuchu Wu, Kai Su, Jianjun Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Hubei Wuhan430070 China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of Technology Hubei Wuhan430070 China Hubei Research Center for New Energy & Intelligent Connected Vehicle Wuhan University of Technology Wuhan430070 China Hubei Qixing Automobile Body Co. Ltd Suizhou441300 China

In the international context of increasing tension over fossil energy, hydrogen energy has an important strategic position in the global energy structure due to its advantages of renewable, pollution-free, and high combustion efficiency. As a core component of heavy-duty chemical equipment such as hydrogen storage and hydrogen production, large cones are difficult to manufacture, and the molding accuracy is difficult to guarantee. This paper takes the vertical double-drive rolling process of large cones as the research object and reveals the influence law of different speed ratios on the axial precision error of large cones, suggesting that the axial tilt is minimized when the inner and outer speeds of the intermediate section are kept the same. © Published under licence by IOP Publishing Ltd.

关键词： Hydrogen storage

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Research on Vehicle Damping Control Strategy Based on In-Arm Torsional Electromagnetic Active Suspension

Research on Vehicle Damping Control Strategy Based on In-Arm...

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2021 International Conference on Advances in Optics and Computational Sciences, ICAOCS 2021

作者： Zhang, Hongyang Xiang, Weier Zhou, Kailai Xu, Lin School of Wuhan University of Technology Wuhan China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China

This paper proposes a new control strategy based on the In-Arm Torsional Electromagnetic Active Suspension (ITEAS), which can improve the vehicle ride comfort through adjusting the damper in ITEAS to optimize the kinetic characteristics of the vehicle composed by two ITEAS systems. Firstly, the structure and principle of the new type system is introduced followed by the description of the vehicle and the damper in ITEAS. Secondly, according to theoretical mechanics and fluid mechanics, the dynamic model of ITEAS system and the hydraulic model of shock absorber are established under forced vibration. Then, the PID control simulation model of the front suspension is established in AMESIM with a passive model as reference, due to the special assemble features of the vehicle. The rear suspension adopts predictive control method and the simulation model is built in MATLAB/SIMULINK, whose theory can be summarized as adjusting the duty ratio of the valve in damper to improve the stability of the vehicle under the condition that the road surface information is already known. Lastly, this paper tests the suspension characteristics on the MTS bench, which verifies the proposed control method improves the ride comfort performance and the feasibility of predictive system. © Published under licence by IOP Publishing Ltd.

关键词： Model predictive control

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Research on Data-driven Control Algorithm of Automotive Electronic Control Opening and Closing System 5

Research on Data-driven Control Algorithm of Automotive Elec...

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5th International Conference on Mechatronics and Computer technology Engineering, MCTE 2022

作者： Liu, Jianguo Chen, Zitong Yan, Fuwu Wu, Youhua Sun, Yunfei Hu, Dafeng Chen, Nuo Foshan XianHu Laboratory Guangdong Foshan China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Hubei Wuhan China Collaborative Innovation Center for Automotive Components Technology Hubei Wuhan China Research Center for New Energy & Intelligent Connected Vehicle Hubei Wuhan China Ningbo Huade Automobile Parts Co. Ltd Zhejiang Ningbo China Ningbo Huake Automobile Parts Co. LTD Zhejiang Ningbo China

ISBN: (纸本)9781510661073

This article presents a data-driven control algorithm for automotive electronic control opening and closing system. By collecting the data of various mixed complex working conditions, the automatic decision-making model is formed on the basis of data learning, which can reduce the design and research of the algorithm itself, and improve the intelligence degree of ECU. The untrained data can be collected at any time to learn to get the new model, and the original model can be quickly replaced. According to a large number of data collected in complex mixed conditions, the control method has better adaptability, simplifies the electronic control algorithm, and has certain generality in the field of automotive electronics. This article takes the anti-pinch control of power lift door as an example, proposes a data-driven BP neural network anti-pinch force classification method, selects good data for network training, and the recognition accuracy reaches 99.7%. Based on DSPACE, the rapid prototype bench test results show that the anti-pinch forces are in the range of 70N-100N, which verifies the feasibility of the control method. © 2022 SPIE.

关键词： Classification (of information)

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Vision-based feet detection power liftgate with deep learning on embedded device

Vision-based feet detection power liftgate with deep learnin...

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2022 International Symposium on Sensor technology and Control, ISSTC 2022

作者： Liu, Jianguo Chen, Yingzhi Yan, Fuwu Zhang, Rui Liao, Xinjia Wu, Youhua Sun, Yunfei Hu, Dafeng Chen, Nuo Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan Hubei China Foshan XianHu Laboratory Foshan Guangdong China Collaborative Innovation Center for Automotive Components Technology Wuhan Hubei China Research Center for New Energy and Intelligent Connected Vehicle Wuhan Hubei China Ningbo Huade Automobile Parts Co. Ltd Ningbo Zhejiang China Ningbo Huake Automobile Parts Co. Ltd Ningbo Zhejiang China

Kick-Open power liftgates are the standard configuration for most high-end SUVs and sedans in recent years, but the traditional sensor-based trunk opening systems mainly rely on detecting the distance change between foot and vehicle to monitor the users' operation intention, which is more sensitive to interference like weather change or unintentional body movement. We proposed a novel vision-based feet position detection power liftgate system, which detects the feet' position through a deep learning model. Its framework is based on Nanodet, and the model is quantified and then convert and deploy on the low-power embedded system. We have trained the network using our dedicated dataset that considered various situations, including various weather conditions, different illumination conditions, different types of shoes in various seasons, and various ground surfaces. The total parameters of our model are 0.7M. In the test phase, our system works at 8FPS and reached a recognition accuracy rate of 93.3%, and a recall rate of 92%. Our system can be applied to low-cost embedded devices for automobiles and show satisfying performance and reliability. © Published under licence by IOP Publishing Ltd.

关键词： Deep learning

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3D Object Detection Based on Local Feature Fusion 5

3D Object Detection Based on Local Feature Fusion

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5th International Conference on Mechatronics and Computer technology Engineering, MCTE 2022

作者： Liu, Jianguo Liao, Xinjia Yan, Fuwu Zhang, Rui Chen, Yingzhi Wu, Youhua Sun, Yunfei Hu, Dafeng Chen, Nuo Foshan XianHu Laboratory Guangdong Foshan China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Hubei Wuhan China Collaborative Innovation Center for Automotive Components Technology Hubei Wuhan China Research Center for New Energy & Intelligent Connected Vehicle Hubei Wuhan China Ningbo Huade Automobile Parts Co. Ltd Zhejiang Ningbo China Ningbo Huake Automobile Parts Co. LTD Zhejiang Ningbo China

ISBN: (纸本)9781510661073

The existing 3D object detection networks based on the cross-attention mechanism from the bird's-eye view perspective mostly use the parameters calibrated by the camera to take the features corresponding to project each 3D feature point from the front view feature by projecting the 3D point onto the two-dimensional image. The features obtained by this method are affected by the calibration parameters and the projection position. To reduce the influence of the camera calibration parameters and the accuracy of the projection position on the obtained features, a local feature fusion network is proposed, which fuses the features within a certain range near the projection point to represent the corresponding features of the 3D point, thus improving the feature representation capability. The experimental results on the nuScenes val set show that the NDS value is increased by 1.4% compared with the benchmark. In addition, the network has robustness. Under the same noise, its accuracy reduction rate is reduced by more than 56% compared with the benchmark and has a practical value in automatic driving. © 2022 SPIE.

关键词： Object detection

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Research on driving comfort evaluation of lower limb based on muscular forces

Research on driving comfort evaluation of lower limb based o...

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2nd International Conference on Precision Mechanical Instruments and Measurement technology, ICPMIMT 2014

作者： Li, Zhuo Zhao, Meng Yang Zhou, Liang Wuhan University of Technology Hubei Key Laboratory of Advanced Technology for Automotive Components 122 Luoshi Road Hongshan District Wuhan 430070 China

ISBN: (纸本)9783038351948

Driving comfort is one of the most important indexes for automobile comfort evaluation. The joint torque calculation model of the lower limb in driving posture is established in the presented work firstly. The relationship between cab layout parameters and the joint torque can be obtained through dynamical simulation in the MATLAB by employing Kane method. A new method based on muscular forces is proposed to evaluate the automobile comfortableness. The force of each muscle can be obtained by employing static optimization algorithm of inverse dynamics. The impact of cab layout parameters, joint torque and the muscular forces on driving comfort and the relationship between them can be found through the analysis. As an reference, these parameters can be used to optimize the cab and offer an important support for its optimization. © (2014) Trans Tech Publications, Switzerland.

关键词： MATLAB

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