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Research on Anode Pressure Control and Dynamic Performance of Automotive Fuel Cell System

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SSRN 2023年

作者： Wei, Heng Du, Changqing Li, Xingyi Shi, Chenxu Zhang, Jiaming Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China Hubei Research Center for New Energy & Intelligent Connected Vehicle Wuhan University of Technology Wuhan430070 China Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory Foshan528200 China

The anode pressure supply meeting the system power demand can not only improve the performance output of proton-exchange membrane fuel cell (PEMFC), but also effectively prevent the degradation of proton-exchange membrane (PEM) caused by the fluctuation of anode and cathode pressure. In this article, a practicable feedforward-based proportional-integrative (FFPI) anode pressure control strategy is designed and successfully applied to a 100 kW-class automotive PEMFC system, where the current and anode purging are considered as interferences to apply feedforward compensation. The fuel cell system test bench exhibits good dynamic performance in load change experiments, the cell voltage consistency, power generation efficiency and hydrogen utilization of the system remain at a high level. To further suppress interference and reduce overshoot, oscillation and pressure response hysteresis, a control-oriented model of this 100 kW PEMFC system is constructed, and a novel second-order fuzzy active disturbance rejection controller (SOFADRC) is designed. Simulation results suggest that the proposed SOFADRC is superior than the FFPI controller and the second-order ADRC (SOADRC). The maximum absolute error (MAE), average absolute error (AAE), and root-mean-square error (RMSE) of SOFADRC all reach the minimum values respectively under the step-load and China light-duty vehicle test cycle (CLTC) load conditions, which are 6.51 kPa, 0.09 kPa, 0.42 kPa and 8.95 kPa, 0.62 kPa, 1.35 kPa respectively, showing the outstanding control effect. © 2023, The Authors. All rights reserved.

关键词： Fuzzy logic

Lumped Model for Evaluating Dynamic Filtration and Pressure Drop Behaviours in Diesel Particulate Filters

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SSRN 2024年

作者： Cai, Zhizhou Yan, Fuwu Shao, Yuankai Liao, Jianxiong Wu, Yan Zheng, Shijie Li, Yu xuan Hu, Jie Wang, Zhihong Li, Zhenguo Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of Technology Wuhan430070 China Hubei Research Center for New Energy & Intelligent Connected Vehicle Wuhan University of Technology Wuhan430070 China National Engineering Laboratory for Mobile Source Emission Control Technology China Automotive Technology & Research Center Tianjin300300 China

Particulate matter (PM) emitted from diesel vehicles poses significant risks to global climate, environment, and human health. Diesel particulate filters (DPF) are currently the only effective aftertreatment device for PM emissions reduction and it is important to reflect the DPF filtration and pressure drop performance by numerical method. This study established and validated a lumped model based on the spherical packed beds theory and Darcy’s law. The PM effective density was firstly used to obtain the PM loading rate for model input. The model described the dynamic PM filtration process in DPF, predicting real-time characteristics such as wall porosity, soot load, and pressure drop with improved accuracy. The effects of channel characteristics, monolithic size, and exhaust conditions on filtration and pressure drop performance were then investigated. The results showed that an increase in cell density, wall thickness, DPF length and diameter is beneficial for increasing filtration efficiency, while DPF inlet temperature and exhaust mass flow rate have adverse effect. Wall thickness, DPF diameter and exhaust flow rate have especially significant impact on total pressure drop. The results contributes to a better understanding of the PM filtration process and provide a theoretical basis for the DPF structural optimization. © 2024, The Authors. All rights reserved.

关键词： Pressure drop

10-Hz Repetitive Transcranial Magnetic Stimulation over the Frontal Eye Field Modulates Feature-Based Attention

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10-Hz Repetitive Transcranial Magnetic Stimulation over the ...

Intelligent Supercomputing and BioPharma (ISBP), International Conference on

作者： Ningna Li Fuwu Yan Lirong Yan Yibo Wu Biao Xiang Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Tumxuk Xinguang Jingwei UAV Technology Co. Ltd Tumxuk Xinjiang China

The frontal eye field (FEF) is an important brain area related to visual feature-based attention (FBA). In this study, we applied 10-Hz repetitive transcranial magnetic stimulation (rTMS) to the right FEF (rFEF), designed an improved version of attention network test (ANT) with two attributes (direction and color), to explore the relationship between rFEF and the attentional network (including alerting, orienting and executive control network) and between rFEF and visual FBA. 24 healthy subjects completed the improved ANT after stimulation. The sham stimulation experiment was set as the control group. The experimental results show that the stimuli applied to rFEF can not significantly affect the attention subnetwork. However, rFEF, as a part of the frontoparietal network, affects the relevant connections of the frontoparietal network after a short local stimulation, thereby significantly reducing the reaction time of the subjects. In addition, rFEF is closely related to attribute selection in visual FBA tasks, which has been confirmed.

关键词： Visualization Brain Transcranial magnetic stimulation Color Task analysis

Positioning accuracy optimization of DSO-SLAM and its use for the localization of unmanned vehicle

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Positioning accuracy optimization of DSO-SLAM and its use fo...

2021 International Conference on Computer Communication and Artificial Intelligence, CCAI 2021

作者： Wang, Xudong Wang, Xinyu Gao, Chao Wu, Jing Wuhan University of Technology Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan430070 China Wuhan Digital Engineering Institute Wuhan430074 China

ISBN: (纸本)9781728194011

In present work, Direct Sparse Odometry (DSO) of visual SLAM is selected as an auxiliary scheme for unmanned vehicles to solve the problem of poor positioning accuracy or inability to locate caused by multipath refraction. By extracting pixels and feature points jointly in the frontend, it can be ensured that the DSO maintained robustness in weak texture regions, while not omitting the feature corners with repeatability. To improve the positioning accuracy of DSO, the pose-graph optimization and loop closure detection with bag-of-words (BoW) are adopted. The optimized DSO has been compared with the original model in the dataset and verified by experiment in the campus scene. The results show that, the optimized algorithm can accurately detect loop closing, reduce the absolute trajectory error (ATE) of DSO by 61.26%, and greatly improve the positioning accuracy without sacrificing real-time and robustness. It verifies the validity of the DSO with loop closure detection, and provides a new method for the core positioning algorithm of driverless vehicles. © 2021 IEEE.

关键词： Unmanned vehicles

The Gas Production Characteristics and Catastrophic Hazards Evaluation of Thermal Runaway For LiNi0.5Co0.2Mn0.3O2 Lithium-Ion Batteries Under Different Socs

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SSRN 2023年

作者： Qi, Chuang Liu, Zhenyan Lin, Chunjing Liu, Dinghong Li, Zhaoyang Yi, Aibin Key Laboratory of Advanced Manufacturing Technology for Automobile Parts Ministry of Education Chongqing University of Technology Chongqing400054 China Guangxi Key Laboratory of Automobile Components and Vehicle Technology Guangxi University of Science and Technology China CATARC（Changzhou）Automotive Engineering Research Institute Co. Ltd China Co. Ltd China

Lithium-ion batteries (LIB) are widely used as electrochemical energy storage systems in electric vehicles due to their high energy density and long cycle life. However, fire accidents present a trend of frequent occurrence caused by thermal runaway (TR) of LIBs, so it is especially important to evaluate the catastrophic hazards of these LIBs. This study conducted the adiabatic TR test coupled gas production test, Gas Chromatography-Mass Spectrometry test, and explosion limit test on a commercial LIB with Ni0.5Co0.2Mn0.3 as the cathode material at different states of charges (SOCs). The results show that the TR temperature and the maximum temperature at low SOC are lower compared to that at a high SOC. The probability of LIBs TR at less than 50% SOC is small also causing less harm. For the gas production characteristics, the lower the SOC of the battery, the lower the gas production volume. The peak and steady-state gas production increase with the increase of SOC. For the mixed gas generated during thermal runaway, the content of CO2 shows a trend of decreasing with the increasing of battery SOC, while that of H2 and CO increases with the increasing of SOC. For the explosion limit of the mixed gas, the lower explosion limit and upper explosion limit decreases and increases with the increasing of SOC, respectively. Finally, by using the analytic hierarchy process method, the safety level of LIBs at different SOCs is evaluated with seven parameters obtained from the experimental results, which we believe enlightening for establishing a comprehensive quantitative evaluation method for battery safety in practical engineering applications. © 2023, The Authors. All rights reserved.

关键词： Lithium-ion batteries

Accelerated Solid-Liquid Interdiffusion Bonding of Cu Joint Using a Cu10ni Alloy Mesh Reinforced Sac305 Composite Solder

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SSRN 2023年

作者： Liu, Jiajun Xiao, Yong Li, Dan Liu, Bowen Yan, Fei Zhang, Jian School of Materials Science and Engineering Wuhan University of Technology Wuhan430070 China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan430070 China

Highly reliable packaging interlayer materials are essential for utilizing the benefits of wide band-gap power devices. In this study, a two-dimensional mesh structure of Cu-10Ni (wt.%) alloy skeleton-reinforced SAC305 (Sn-3.0Ag-0.5Cu, wt.%) solder was employed to create solid-liquid interdiffusion (SLID) bonding connections on a Cu substrate at 250 °C and 0.03 MPa auxiliary pressure. The microstructural evolution and the mechanical property strengthening mechanisms of bonded joints with different composite solders were investigated. Due to the addition of Cu-10Ni alloy skeleton, the Cu-Ni atoms diffused into the Sn melt and acted as heterogeneous nucleation sites, contributing to the rapid nucleation and growth of (Cu,Ni)6Sn5 grains. The incorporation of Ni inhibited the merging and coarsening of intermetallic compound (IMC) grains, and the joint was composed of fine-grained (Cu,Ni)6Sn5 phase and interspersed Cu10Ni skeleton. Shear strength of the joint at soldering time 210 s reached 47.75 MPa, marking a 104.58% enhancement compared to the pristine SAC305 solder joint. The influence of grain refinement on the mechanical properties of the joint was discussed based on the Hall–Petch relationship. The grain boundary strengthening effect synergized with the toughening effect of the alloy skeleton, ultimately achieving highly reliable joints. © 2023, The Authors. All rights reserved.

关键词： Nucleation

Real-Time Pose Correction and Registration of Complex Workpiece in Robotic Machining Considering Normal Consistency Constrains

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SSRN 2023年

作者： Ye, Songtao Liu, Hongdi Wu, Hao Cheng, Weikang Yan, Sijie Zhu, Dahu State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan430074 China HUST-Wuxi Research Institute Wuxi214174 China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of Technology Wuhan430070 China

Efficient and precision model registration of complex workpiece with arbitrary pose is a challenging task that determines the effects of intelligent robotic machining. Aiming at the problems of limited field of view of 3D vision sensors such as surface structured light and the complexity of scanning-splicing-registration algorithm, in this paper a real-time pose correction and registration algorithm of complex workpiece in robotic machining considering normal consistency constrains is proposed. Specifically, the operations on ellipse feature detection and center point extraction are performed based on the arc-support line segment, and then the actual three-dimensional coordinate of the ellipse is obtained by the camera conversion matrix. Furthermore, considering the constrained normal consistency of the center points set of ellipses on the model surface, the pose of the target workpiece is corrected in real-time by the improved ICP registration algorithm. Taking the automotive flywheel shell as a typical application object, the experimental results demonstrate that the registration correction time of the proposed algorithm is 0.5s, and the registration accuracy can reach 0.35mm. The repetitive correction time of the algorithm after arbitrarily changing the workpiece pose is less than 1s, and the positioning accuracy of the guiding robot is less than 1.5mm. On the premise of satisfying the robotic machining quality requirements, the pose of the complex workpiece model can be corrected in real-time for subsequent robotic machining. © 2023, The Authors. All rights reserved.

关键词： Intelligent robots

Parameter optimization of curing kinetics model of epoxy based on Ant-Lion Optimizer 5

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Parameter optimization of curing kinetics model of epoxy bas...

5th IEEE advanced Information technology, Electronic and Automation Control Conference, IAEAC 2021

作者： Zhang, Wenbin Wang, Hui Wuhan University of Technology Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan430070 China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan430070 China Hubei Research Center for New Energy and Intelligent Connected Vehicle Wuhan University of Technology Wuhan430070 China

For the sake of accurately obtain the reaction rate constant and reaction order in the curing kinetic model of epoxy resin, aiming at the problem that it is difficult to determine the parameters of the curing kinetic model of epoxy resin, the fitting problem is transformed into a multi-objective optimization problem, the coefficients to be solved are put into a vector into the fitness function, and the ant lion algorithm is used to iteratively optimize the optimal solution vector. Through coarse search and detailed search, the size of solution space is reduced, and the optimal roulette roulette strategy is added to prevent the algorithm from falling into the local optimal solution. Finally, Nash efficiency coefficient was used to test the fitting results. The test results show that the ant lion algorithm has high accuracy and application value in determining the parameters of epoxy resin curing kinetics model. © 2021 IEEE.

关键词： Curing

Study on the Battery Safety in Frontal Collision of Electric Vehicle 5

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Study on the Battery Safety in Frontal Collision of Electric...

2021 5th International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2021

作者： Qiao, Weigao Yu, Lei Zhang, Zhanxi Pan, Tongyu School of Automotive Engineering Wuhan University of Technology Hubei Wuhan430070 China Hubei Key Laboratory of Advanced Technology for Automotive Components Hubei Wuhan430070 China School of Intelligent Manufacturing Wuhan Huaxia University of Technology Hubei Wuhan430070 China

With the rapid development of electric vehicle industry, more and more attention has been paid to the safety of the automotive battery. The safety of battery in electric vehicle's frontal collision is the focus of this paper. In the process of simulated collision, the research object is simplified into a battery box. The mechanical properties of the battery monomers were investigated to summarize the mechanical properties of the internal failure of the monomers. Constructing the finite element model of the research object, we focus on the analysis of collision simulation results and propose the improvement measures. According to the test requirements in C-NCAP, the crash simulation of battery box is carried out by using the finite element software called LS-DYNA, which is used in automobile collision to analyze the deformation, stress of the battery box and the most dangerous battery monomer during the frontal collision. The simulation results show that the deformation of the case is obvious, and the protection of the battery is lost in the 50km/h frontal collision condition. By adding EVA foam, the maximum deformation of the battery monomer is reduced by 8.2%. By improving the material of battery case, the maximum deformation is reduced by 12.65%. © 2021 Institute of Physics Publishing. All rights reserved.

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