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Temperature field evolution and heat transfer during continual local induction cladding

Journal of Central South University 2020年第5期27卷 1572-1586页

作者： LIU Si-yu QIN Xun-peng ZHANG Jin-peng ZHAN Jun Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of TechnologyWuhan 430070China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan 430070China Hubei Sanhuan Intelligent Technology Co. Ltd.Wuhan 430074China

The evolution of temperature field of the continual motion induction cladding and the depth of heat affected zone are studied in this study.A three-dimensional finite element model for the point type continual induction cladding is established to investigate temperature distributions of fixed and motion induction cladding *** novel inductor is designed for cladding of curved *** modeling reliability is verified by the temperature *** influence of process parameters on the maximum temperature and the generation and transfer of heat are *** calculation is performed to its melting rate to verify the temperature distribution and *** results show that a good metallurgical bond can be formed between the cladding layer and *** melting rate gradually falls from the top of the cladding layer to the substrate,and the grain size in the substrate gradually *** heat affected zone is relatively small compared to integral heating.

关键词： profile repair induction cladding continual motion temperature field evolution heat transfer

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Consistency Screening of Lithium-Ion Batteries Based on Improved FCM Algorithm 16th

Consistency Screening of Lithium-Ion Batteries Based on Impr...

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16th Annual Conference of China Electrotechnical Society, ACCES 2021

作者： Hu, Yihao Zhu, Guorong Wang, Jing V. Kang, Jianqiang School of Automation Wuhan University of Technology Wuhan430070 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

ISBN: (纸本)9789811915314

For the consistency screening of lithium-ion batteries, the multi-parameter screening method is widely used due to its high accuracy. Clustering algorithms are commonly adopted in the screening process. In practice, it is usually necessary to screen a group of cells with high similarity of characteristic parameter and a specific number of cells from a batch of cells, which cannot be achieved by traditional clustering algorithms. Based on this, this paper proposes an improved fuzzy C-means (FCM) algorithm to achieve consistency screening. Principal component analysis is used to reduce the dimensionality of characteristic parameter of sample. Then the K-means algorithm is used to optimize the initial cluster center of the FCM algorithm. Finally, the membership matrix is processed. A specific number of samples with higher membership degrees are selected as the screening result to achieve the "more select less" function. The results show that compared with the traditional FCM algorithm, the improved algorithm can screen out cells with higher similarity of characteristic parameter and a specific number of cells, indicating that the screening effect is good. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Principal component analysis

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Parameter Identification of Electrochemical-Thermal Coupling Model for Large-Capacity Lithium-Ion Batteries Based on Neural Network Algorithm 16th

Parameter Identification of Electrochemical-Thermal Coupling...

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16th Annual Conference of China Electrotechnical Society, ACCES 2021

作者： Weng, Xiaqing Zhu, Guorong Wang, Jing V. Kang, Jianqiang School of Automation Wuhan University of Technology Wuhan430070 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

ISBN: (纸本)9789811915314

The thermal safety of lithium-ion batteries has always been a focus of attention, and the application of electrochemical-thermal coupling model to simulate battery temperature status has broad application prospects. However, to obtain thermal model parameters, it is necessary not only to determine the internal material characteristics and proportions of the battery, but also to use expensive experimental equipment to perform complex test experiments under harsh environmental conditions. Different from small-capacity batteries, large-capacity batteries pass large currents, have more heat sources, and complex heat transmission paths, resulting in significant differences in temperature between the internal and external surfaces of the battery. Such problem of large model errors cannot be dealt with by manually adjusting parameters. In response to above problems, this paper proposes a method for identifying battery thermal simulation parameters based on electrochemical-thermal coupling model. The neural network algorithm is adopted to identify the thermal model parameters of large-capacity lithium-ion batteries. The results show that the maximum temperature error between the simulation values after parameter optimization and experimental values is less than 1.3 ℃, indicating that the identified model parameters are highly accurate. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Lithium-ion batteries

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Radial Envelope Forming Law of Thin Wall Cylinder with Vertical Reinforcements 2

Radial Envelope Forming Law of Thin Wall Cylinder with Verti...

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2nd International Conference on New Materials, Machinery, and Vehicle Engineering, NMMVE 2023

作者： Min, Yanlei Zhuang, Wuhao Deng, Zushen Hubei Key Laboratory of Advanced Technology of Automotive Components Wuhan University of Technology Wuhan430070 China School of Automotive Engineering Wuhan University of Technology Wuhan430070 China

ISBN: (纸本)9781643684208

In this paper, the law of radial envelope forming (REF) of thin wall cylinder with vertical reinforcements is studied by finite element numerical simulation. First, a finite element model for REF of thin wall cylinder with vertical reinforcements is established by using Deform-3D software. Then, the evolution and distribution of strain and metal flow velocity during REF of thin wall cylinder with vertical reinforcements are analyzed, and the growth law of vertical reinforcement during this REF is analyzed in detail. The results show that radial compression strain, circumferential tensile strain and axial tensile strain occur in the web. Radial tensile strain, circumferential compressive strain and axial tensile strain occur in the vertical reinforcements. The metal flows mainly in radial direction and circumferential direction during REF of thin wall cylinder with vertical reinforcements. The vertical reinforcements show nonlinear growth, and the middle part of the vertical reinforcement is higher than both ends of the vertical reinforcement. © 2023 The authors and IOS Press.

关键词： Tensile strain

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

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

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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

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

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

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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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Lithium Plating Accurate Detection of Lithium-Ion Capacitors Upon High-Rate Charging

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Green Energy and Intelligent Transportation 2025年

作者： Shasha Zhao Xianzhong Sun Yabin An Zhang Guo Chen Li Yanan Xu Yi Li Zhao Li Xiong Zhang Kai Wang Yanwei Ma Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China Key Laboratory of High Density Electromagnetic Power and Systems (Chinese Academy of Sciences) Haidian District Beijing 100190 China Shandong Key Laboratory of Advanced Electromagnetic Conversion Technology Institute of Electrical Engineering and Advanced Electromagnetic Drive Technology Qilu Zhongke Jinan 250013 China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan 430070 China Department of Materials Engineering KU Leuven Leuven 3001 Belgium Department of Chemistry University of Liverpool Liverpool L69 7ZD United Kingdom

Lithium-ion capacitors (LICs) offer higher power density and longer cycle life compared to lithium-ion batteries, and greater energy density than supercapacitors, making them ideal for applications requiring both high energy and power density. However, during high-rate charging, LIC anodes may suffer from lithium plating, a critical issue that remains unaddressed. To date, no direct analytical technique exists to study lithium plating behavior on LIC anodes. This study is the first to employ a 3-electrode pouch-type LICs, using differential analysis of the anode potential rather than the traditional terminal voltage approach, to accurately detect the charging rates at which lithium plating begins. We employed differential charging voltage (DCV), Coulombic efficiency (CE), and voltage relaxation profile (VRP) methods to comprehensively analyze lithium plating behavior. The feasibility of indirectly detecting lithium plating was validated by applying the CE and VRP methods to high-capacity 1100 F LICs. The study found that lithium plating in LICs begins at a charging current of 20C. The lithium deposited at currents below 50C is reversible, while at currents above 50C, irreversible dead lithium is formed. Furthermore, the study identified two reverse reactions following lithium deposition on the anode: lithium stripping and lithium intercalation. For soft carbon anodes, the potential difference between lithium stripping and intercalation was approximately 20 mV under relaxation conditions, and about 45 mV under constant voltage conditions. This research provides critical theoretical insights and practical guidance for optimizing LIC charging strategies.

关键词： Lithium-ion capacitor lithium plating anode potential high-rate charging

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Evaluation of various turbulence models in predicting airflow and turbulence around a generic vehicle model

Evaluation of various turbulence models in predicting airflo...

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4th International Conference on Materials Science and Information technology, MSIT 2014

作者： Wu, Cheng Wang, Yi Ping Yang, Xue Hubei Key Laboratory of Advanced Technology of Automotive Components Wuhan University of Technology Wuhan 430070 China Wuhan Ordnance Noncommissioned officers School Wuhan 430075 China

ISBN: (纸本)9783038351733

For vehicle external aerodynamic computation, the selection of the turbulence model is very important. In current research, ten RANS turbulence models were introduced to compute the time-averaged flow field around the Ahmed model with 25° backlight angle. In order to evaluate the feasibility of the turbulence model, the results were compared with the related published experimental data. The results showed that the two equations RANS turbulence models were more favorable to compute the vehicle external flow field, but parts of the two equations turbulence model just could predict the aerodynamic drag coefficient or lift coefficient effectively. However, the results further revealed that the realizable k-η could obtain the more accurate drag coefficient and lift coefficient simultaneously, and simulate the complex separation flow in the wake. © (2014) Trans Tech Publications, Switzerland.

关键词： Turbulence models

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iTHD Improvement for TCM Totem Pole PFC Based on WOA Compensated System Delay 8

iTHD Improvement for TCM Totem Pole PFC Based on WOA Compens...

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8th International Conference on Power Energy Systems and Applications, ICoPESA 2024

作者： Zhu, Di Lu, Chihua Liu, Zhien Shi, Laifeng Wuhan University of Technology Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan China Passenger Car Power Center Dongfeng Motor Corporation Wuhan China

ISBN: (纸本)9798350351668

This paper presents a system delay compensation method based on the Whale Optimization Algorithm (WOA) for the triangular current mode(TCM) Totem Pole PFC to improve the input current total harmonic distortion (iTHD). The inherent system delay of the TCM Totem Pole PFC rectifier near the zero-crossing point of the input voltage can cause distortion of the input current. The traditional system delay compensation method is to correct the conduction time of the switch tube with an estimated delay value. However, inaccurate compensation for system delay may lead to poor iTHD improvement or failure to achieve Zero Voltage Switching (ZVS). The method presented in this paper can find the actual system delay value of the rectifier for compensation under different load conditions, to achieve the maximize improvement of iTHD, without affecting ZVS. A simulation model of a 1650W, 220V/450V Totem Pole PFC rectifier was built to test this method. The results show that this method results in an average error of only 0.1055% between the actual and ideal iTHD of PFC. © 2024 IEEE.

关键词： Harmonic distortion

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Research on Group-level Pruning Algorithm Based on Progressive Sparsity Regularization 3

Research on Group-level Pruning Algorithm Based on Progressi...

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3rd International Conference on Electronics and Information technology, EIT 2024

作者： Liu, Jianguo Zhou, Qi He, Yibo Chen, Wen Yin, Zhishuai Yan, Fuwu Zheng, Hao Wu, Youhua Foshan Xianhu Laboratory National Energy Key Laboratory for New Hydrogen-Ammonia Energy Technologies Foshan528200 China Wuhan University of Technology Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan China Wuhan University of Technology School of Automotive Engineering Hubei Wuhan430070 China SAIC-GM-Wuling Automobile Co. Ltd. Liuzhou545007 China

ISBN: (纸本)9798350369151

With the rapid development of autonomous driving systems, deep learning models play a crucial role in their implementation. However, these models typically have high computational complexity and storage demands, posing challenges to the real-time processing capabilities of embedded devices. To address this issue, this paper proposes a group-level pruning algorithm based on progressive sparsity regularization. The algorithm groups model parameters and progressively increases the sparsity regularization strength, effectively reducing computational load and storage requirements while maintaining model performance. Additionally, the algorithm introduces group-level weight importance calculation based on the L2-norm, combined with weight gradient direction information to achieve a more refined pruning strategy. Experimental results demonstrate that the proposed algorithm achieves a 2.58× speedup on the ResNet-56 model on the CIFAR dataset, significantly compressing the model's parameter size while maintaining accuracy. This research provides an effective solution for real-time applications such as autonomous driving, where efficient model deployment is essential. © 2024 IEEE.

关键词： Deep learning

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