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Corrosion Resistance of Superhydrophobic Mg(OH)_(2)/Calcium Myristate Composite Coating on Magnesium Alloy AZ31

Acta Metallurgica Sinica(English Letters) 2021年第12期34卷 1618-1634页

作者： Zheng-Zheng Yin Wei Zhao Jing Xu Rong-Chang Zeng Feng-Qin Wang Zhen-Lin Wang Corrosion Laboratory for Light Metals College of Materials Science and EngineeringShandong University of Science and TechnologyQingdao 266590China School of Materials Science and Engineering Zhengzhou UniversityZhengzhou 450001China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan 430070China College of Materials Science and Engineering Chongqing University of TechnologyChongqing 400065China

Hydrophobic Mg(OH)_(2)/calcium myristate(Ca[CH3(CH2)12COO]_(2),CaMS)and Mg(OH)_(2)/magnesium myristate(Mg[CH3(CH2)12COO]2,MgMS)composite coatings were prepared on the alkali-treated AZ31 substrates via both electrodeposition and dipping *** morphologies,compositions,and constitutes of the coatings were investigated by using field-emission scanning electron microscopy(SEM),X-ray photoelectron spectroscopy(XPS),and Fourier transform infrared spectrometry(FTIR)together with X-ray diffractometer(XRD).Furthermore,electrochemical(polarization and impedance spectroscopy)and hydrogen evolution tests were applied to evaluate the corrosion *** wettability and adhesive strength of the composite coatings were characterized through water static contact angle(CA),sliding angle(SA),and nano-scratch *** indicated that the better super-hydrophobicity,corrosion resistance,and adhesion were achieved via an electrodeposited *** corrosion current density(icorr)and hydrogen evolution rate(HER)of the electrodeposited coating were three and one orders of magnitude smaller than the substrate,implying a significantly improved corrosion *** scenario was ascribed to the super-hydrophobicity of electrodeposited composite coating with a contact angle(CA)and slide angle(SA)of 159.2°±0.8°and 5.2°±0.8°,***,the dipped composite coating was adverse to the improvement of corrosion resistance and adhesion due to the dissolution of the underlying Mg(OH)_(2)layer and smooth surface with less organic fatty acid salt(MgMS)

关键词： Magnesium alloy Electrodeposition and dipping Super-hydrophobicity Corrosion resistance

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Research on the Braking Control Strategy of automobile Driven Independently by Front and Rear Dual Motors 8

Research on the Braking Control Strategy of Automobile Drive...

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2022 8th International Forum on Manufacturing technology and Engineering Materials, IFEMMT 2022

作者： Du, Xiaofang Li, Shiqing Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan430070 China College of Automotive Engineering Wuhan University of Technology Wuhan430070 China

Regenerative braking is one of the most important methods to solve the difficulty of energy loss in city driving. The dual-motor pure electric vehicle is considered to be the object of study with the goal of energy utilization of the reproductive system of braking. The PSO (particle swarm optimization) algorithm is adopted to solve the problems under these constraints of ECE-R13 braking regulations and I-curve. The results of the simulation indicate that compared to the conventional braking tactic of AVL CRUISE, the energy renewal effect of the steering strategy is raised by almost 19.24% and the driving distance is increased by as much as 23.8%. © Published under licence by IOP Publishing Ltd.

关键词： Regenerative braking

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An Improved Schema of Brain-computer Interface Based on Motor Imagery with Eye Movement 4

An Improved Schema of Brain-computer Interface Based on Moto...

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2021 4th International Conference on Modeling, Simulation and Optimization Technologies and Applications, MSOTA 2021

作者： Yu, Hao Deng, Yifei Yan, Fuwu Guan, Zhizhou Peng, Fuming Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory Foshan China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of Technology Wuhan China Hubei Research Center for New Energy & Intelligent Connected Vehicle Wuhan University of Technology Wuhan China

Motor imagery (MI) can induce electroencephalogram (EEG) and realize human-computer interaction, but this kind of interaction has poor robustness and low stability. To solve these problems, we improved MI paradigms with eye movement and proposed convolutional neural network classification models based on attention mechanism. We conducted a comparative study to evaluate the performance of MI with different eye movement patterns, i.e. smooth pursuit MI (PMI), saccade MI (SMI) and pure MI. The differences between Squeeze-Excitation (SE) module and Convolutional Block Attention Module (CBAM) module were also explored. The results of power spectral density (PSD) showed that PMI paradigm induced the most significant event-related desynchronization (ERD) phenomenon and the average classification accuracy for PMI signals was also the best in the three paradigms. The combined EEGNet and SE framework achieved an average classification accuracy of 90.77%, which performed better than the model without attention module. PMI can optimize attention allocation of subjects, assist in the construction of motion thinking, and improve the quality of MI signals. EEGNet with SE module showed improved classification performance. © Published under licence by IOP Publishing Ltd.

关键词： Eye movements

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Longitudinal Speed Estimation of Multi-axle Distributed Drive Vehicle Based on Federal Kalman Filter 7

Longitudinal Speed Estimation of Multi-axle Distributed Driv...

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7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023

作者： Wu, Dongmei Du, Kangqi Liu, Huan Liu, Xing Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Technical Center of Dongfeng Commercial Vehicle Wuhan China

ISBN: (纸本)9798350340488

When the wheels of distributed drive vehicle slip, the effectiveness of longitudinal speed estimation based on dynamics model is poor. Therefore, a multi-model fusion estimation method based on Federal Kalman Filter (FKF) is proposed in this paper. In order to tackle the nonlinear problem of vehicle dynamics model, an Extended Kalman Filter (EKF) is used to estimate the longitudinal speed. Additionally, considering the large mismatch between the dynamics model and the real vehicle when the wheels slip, the acceleration and linear Kalman Filter (KF) framework are used to construct a speed estimation algorithm based on kinematics. Then a FKF is designed to fuse both dynamics and kinematics methods. The slip ratio observer is introduced as the information distribution principle of two methods, and information fusion and time update are completed in FKF. After running for a period of time, the fusion result is used to reset the filter of the kinematics method to reduce the accumulated error. Finally, Trucksim/Simulink co-simulation platform is utilized for simulation analysis. Results show that the proposed speed estimation method has good effect and adaptability in the slip condition. © 2023 IEEE.

关键词： Kalman filter Multi-axle Distributed Drive Vehicle Multi-model Fusion speed estimation

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Simulation of dynamic characteristics of suspension hydraulic bushing 4

Simulation of dynamic characteristics of suspension hydrauli...

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2022 4th International Conference on Mechanical Engineering and Automation, MEA 2022

作者： Zha, Wenjing Lu, Chihua Liu, Zhien Li, Guohong Luo, Jinliang Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Hubei Wuhan430070 China Shiyan Dongsen Automotive Seals Co. Ltd. Hubei Shiyan442012 China Hubei Collaborative Innovation Center for Automotive Components Technology Hubei Wuhan430070 China

The hydraulic bushing is a common vibration isolator, and its dynamic characteristics influence the ride comfort of the vehicle. Aiming at a suspension hydraulic bushing with inertia components, a one-dimensional model of the hydraulic bushing is established based on Amesim. Secondly, a parameter identification method is proposed, and the equivalent piston area of the hydraulic bushing and the diaphragm strain stiffness are identified by this method. Finally, the identified parameters are input into the Amesim model, and the data results are compared with the experimental results after processing with MatLab. The results show that the dynamic characteristic curve of the hydraulic bushing calculated by this method is consistent with the test curve and can well predict the dynamic characteristics of the hydraulic bushing with inertia elements. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： MATLAB

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Synthesis of a novel Al foam with a periodic architecture by introducing hollow Al tubes and Al/Mg powders

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Journal of Materials Science & technology 2023年第17期148卷 105-115页

作者： Zhigang Xu Dayong Shen Kai Wang Peng He Jian Zhang Hao Zhang Peng Cao Shangyu Huang Jian Peng Qiang Shen Chuanbin Wang Lianmeng Zhang Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of TechnologyWuhan 430070China State Key Lab of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China School of Materials Science and Engineering Wuhan University of TechnologyWuhan 430070China Wuhan Second Ship Design and Research Institute Wuhan 430205China Department of Chemical and Materials Engineering University of AucklandPrivate Bag 92019Auckland 1142New Zealand

In this work,we synthesized a brand-new Al foam with a periodic structure via a simple powder metallurgical *** periodic architecture consists of both hierarchical porous and bi-directional composition-graded *** results show that the hierarchical porous material includes large pores on millimeter scale inheriting from the hollow structure of the Al tubes,and small pores on mi-crometer scale produced by the sintering of Al/Mg *** bi-directional Mg concentration-graded structure is formed in the tube walls due to the condensation of Mg vapor in the inner tube *** addition of Mg powders achieves excellent metallurgical bonding between the Al powders and the hollow tubes at 550℃.The plateau stress and energy absorption capacity of the Al foam in y-axis compression are significantly higher than that in the x-axis due to their anisotropic *** general,the Al foam with Mg addition presents the most superior compression performance,and we believe that our find-ings could open up a unique strategy for developing high-performance metallic foams with the periodic architecture involving both hierarchical porous and bi-directional graded structure.

关键词： Al foam Hollow Al tube Mg evaporation Bi-directional composition-graded structure Compression properties Energy absorbing performance

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Quantization Algorithm for Human Foot Detection Based on Convolutional Neural Networks 4

Quantization Algorithm for Human Foot Detection Based on Con...

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2022 4th International Conference on Electronic Engineering and Informatics, EEI 2022

作者： Liu, Jianguo Zhang, Rui Yan, Fuwu Chen, Yingzhi Liao, Xinjia Wu, Youhua Sun, Yunfei Hu, Dafang Chen, Nuo Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Hubei Wuhan China Foshan Xianhu Laboratory Guangdong Foshan 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 Hua Kai Automotive Components Limited Company Zhejiang Ningbo China

ISBN: (纸本)9783800759231

With the rapid development of the artificial intelligence industry, the level of automobile intelligence is getting higher and higher. Among them, the inductive electric tailgate system, as an important configuration for high-end cars to enhance user experience, also uses various sensing technologies. The traditional inductive electric tailgate uses a capacitive electric field sensor to trigger the electric tailgate switch by analyzing the electric field signal changes of two electrodes installed at different positions. The biggest drawback of this method is that it is easy to touch by mistake. Once an object is swept under the tailgate, the electric switch will be triggered to open the trunk. To this end, based on the NanoDet network model, this paper proposes a quantification algorithm for human foot detection based on a convolutional neural network to detect whether the position of the user's foot is within a preset range, to determine the user's intention to open the door. Through the deep learning target detection method, the target position in the natural scene is identified, the model is compressed and quantized, and the floating-point operation is converted into a fixed-point operation, which can not only quickly detect the position of the human foot, but also facilitate the deployment of the model to the edge computing platform. In this paper, we choose the PyTorch deep learning framework and validate the proposed algorithm in Ubuntu 18.04 operating system. The experimental results show that the quantization algorithm compresses the network model from 7.1MB to 1.1MB, the compression ratio reaches 84.5 %, and the accuracy rate only drops by 1.2%. The experimental data illustrate that after quantizing the parameters of the convolutional neural network, the algorithm can effectively compress the model with a small loss of accuracy, which solves the problem that the convolutional neural network is difficult to deploy to the edge computing platform. © VDE VERLAG

关键词： Edge computing

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Analysis of the Thermal Behavior of a Lithium Cell Undergoing Thermal Runaway

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Fluid Dynamics & Materials Processing 2021年第5期17卷 887-898页

作者： Qifei Du Zhigang Fang National Demonstration Center for Experimental Engineering Training Education Tiangong UniversityTianjin300387China School of Automotive Engineering Wuhan University of TechnologyWuhanChina Hubei Key Laboratory of Advanced Technology of Automotive Components Wuhan University of TechnologyWuhanChina

This study examines the thermal runaway of a lithium ion battery caused by poor heat dissipation *** heat transfer process is analyzed on the basis of standard theoretical *** mist additives are considered as a tool to suppress the thermal runaway *** ensuing behaviour of the battery in terms of surface temperature and heat generation is analyzed for different charge and discharge *** is found that when the remaining charge is 100%,the heat generation rate of the battery is the lowest,and the surface temperature with a 2C charge rate is higher than that obtained for a 0.5C charge *** experimental results show that when the additive concentration is 20%NaCl,its ability to inhibit the thermal runaway is the strongest.

关键词： Lithium ion battery thermal runaway discharge rate heat generating rate water mist

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Longitudinal speed control of autonomous vehicle based on a self-adaptive PID of radial basis function neural network

Longitudinal speed control of autonomous vehicle based on a ...

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作者： Nie, Linzhen Guan, Jiayi Lu, Chihua Zheng, Hao Yin, Zhishuai School of Automotive Engineering Wuhan University of Technology Hubei Wuhan430070 China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Hubei Wuhan430070 China Hubei Collaborative Innovation Centre for Automotive Components Technology 122 Luo Shi Road Hongshan District Hubei Wuhan430070 China

The tracking accuracy of speed plays a significant role in the autonomous vehicle's control and safety management. In this study, we presented a novel method called self-adaptive proportional integral derivative (PID) of radial basis function neural network (RBFNN-PID) which is shown with improved longitudinal speed tracking accuracy for autonomous vehicles. A forward simulation model of longitudinal speed control for autonomous vehicles is established based on the driver model of selfadaptive RBFNN-PID and the vehicle dynamics model. Based on that, we used the traditional PID and fuzzy control methods as benchmarks to demonstrate the edge of the self-adaptive RBFNN-PID control under the new European driving cycle. Simulation results show the RBFNN-PID method is significantly more precise than the comparing groups, with a reduced error in the range of [-0.369, 0.203] m/s. The vehicle performance gives better ride comfort as well. In all, self-adaptive RBFNN-PID is proven to be effective in longitudinal speed control of autonomous vehicles and significantly outperforms the other two methods. © The Institution of Engineering and technology 2018.

关键词： Vehicle performance

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

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

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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

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