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Study on Side Collision of Battery Boxes Based on HyperWorks

Journal of Physics: Conference Series 2021年第1期2137卷

作者： Weigao Qiao Zhanxi Zhang Dong Lu Lei Yu School of Automotive Engineering Wuhan University of Technology Wuhan Hubei 430070 China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan Hubei 430070 China

To effectively improve the safety of battery boxes in side collision of electric vehicles, two measures are proposed: Firstly spread the boss evenly around the battery box. Secondly the upper and lower parts of the battery box are matched with the convex heads and groove structure. The finite element models of the battery boxes before and after the optimization, the vehicle and the movable barrier are established in this paper. According to the collision regulations, the side collision simulation of the vehicle body is carried out. The changes of the stress, deformation and lateral acceleration of the battery boxes are analyzed. The effectiveness of the measures is verified. The extrusion models of the battery boxes are established. The deformation and the changes of the internal energy of the battery boxes are analyzed. The effectiveness of the measures is verified again.

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Coordinated Control of Path Tracking and Yaw Stability for Distributed Drive Electric Vehicle Based on AMPC and DYC

arXiv

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arXiv 2023年

作者： Wu, Dongmei Guan, Yuying Xia, Xin Du, Changqing Yan, Fuwu Li, Yang Hua, Min Liu, Wei Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory Foshan528200 China Hubei Research Center for New Energy & Intelligent Connected Vehicle Wuhan University of Technology Wuhan430070 China Department of Civil and Environmental Engineering University of California Los AngelesCA90024 United States Technical Center of Dongfeng Commercial Vehicle Wuhan China School of Engineering University of Birmingham BirminghamB15 2TT United Kingdom School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States

Maintaining both path-tracking accuracy and yaw stability of distributed drive electric vehicles (DDEVs) under various driving conditions presents a significant challenge in the field of vehicle control. To address this limitation, a coordinated control strategy that integrates adaptive model predictive control (AMPC) path-tracking control and direct yaw moment control (DYC) is proposed for DDEVs. The proposed strategy, inspired by a hierarchical framework, is coordinated by the upper layer of path-tracking control and the lower layer of direct yaw moment control. Based on the linear time-varying model predictive control (LTV MPC) algorithm, the effects of prediction horizon and weight coefficients on the path-tracking accuracy and yaw stability of the vehicle are compared and analyzed first. According to the aforementioned analysis, an AMPC path-tracking controller with variable prediction horizon and weight coefficients is designed considering the vehicle speed's variation in the upper layer. The lower layer involves DYC based on the linear quadratic regulator (LQR) technique. Specifically, the intervention rule of DYC is determined by the threshold of the yaw rate error and the phase diagram of the sideslip angle. Extensive simulation experiments are conducted to evaluate the proposed coordinated control strategy under different driving conditions. The results show that, under variable speed and low adhesion conditions, the vehicle's yaw stability and path-tracking accuracy have been improved by 21.58% and 14.43%, respectively, compared to AMPC. Similarly, under high speed and low adhesion conditions, the vehicle's yaw stability and path-tracking accuracy have been improved by 44.30% and 14.25%, respectively, compared to the coordination of LTV MPC and DYC. The results indicate that the proposed adaptive path-tracking controller is effective across different speeds. Furthermore, the proposed coordinated control strategy successfully enhances the vehicle's stabili

关键词： Electric vehicles

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Modal analysis and optimization of bus body structure

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Journal of Physics: Conference Series 2018年第1期1074卷

作者： Deng, Song Han, Xinghui Yang, Lei Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan 430070 China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of Technology Wuhan 430070 China

To study the vibration and noise of the bus, the structural and the relevant acoustic models of the bus body are firstly established. Then, their resonant frequencies and crucial modes of vibration are analyzed. The stiffness, mass and natural frequency of the studied beams are varied to optimize the vibration frequencies and modes of the bus body. The results provide valuable guidelines for the modal analysis and optimization of the bus body structures.

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Optimal Design of a 3D Printed Composite Micro-Perforated Silencer for Engine Intake Noise Control

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IOP Conference Series: Materials Science and Engineering 2020年第1期774卷

作者： Wan Chen Chihua Lu Zhien Liu Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan 430070 China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of Technology Wuhan 430070 China

Micro-perforated panel (MPP) is a new sound-absorbing material with wide frequency band and high absorption characteristics. In this paper, to reduce medium-high frequency intake noise of a car engine under accelerating working conditions, a composite MPP silencer with a serial-parallel coupling mode is presented. Moreover, based on the numerical calculation method of the presented MPP silencer, the Isight software is utilized to integrate relevant simulation software, and then the multi-island genetic algorithm (MIGA) is adopted to optimize the average transmission loss of the silencer. Finally, the optimized silencer is 3D printed for impedance tube testing and vehicle testing. The results demonstrate that the optimization design process of the proposed composite MPP silencer is reasonable; and after adopting the optimized silencer, the objective wideband intake noise is effectively attenuated and the sound pressure level is reduced by 8 dB(A) when the engine is at 3525 r/min, providing a promising way of vehicle noise control.

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Microstructural Evolution and Mechanical Properties of Heat-Treated Titanium Alloy Plates Subjected to Underwater Explosion

SSRN

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SSRN 2023年

作者： Zhang, Pan Guo, Yuan Yan, Fei Ye, Chang Lu, Xiaoyang Jiang, Peng Cheng, Yuansheng School of Naval Architecture and Ocean Engineering Huazhong University of Science and Technology Wuhan430074 China School of Automobile Engineering Wuhan University of Technology Wuhan430070 China National Engineering Research Center for Advanced Titanium and Titanium Alloy Material Technology Luoyang Ship Material Research Institute Luoyang471023 China Collaborative Innovation Center for Advanced ship and Deep-Sea Exploration Shanghai200240 China Hubei Key Laboratory of Naval Architecture and Ocean Engineering Hydrodynamic Wuhan430074 China

In this work, the dynamic behaviors of the Ti80 alloy plates with different heat treatment processes in response to underwater explosion were investigated experimentally. The microstructure and mechanical properties of tested Ti80 alloy plates were carefully analyzed, and the related failure mechanisms were also elaborated. Under the action of underwater explosion, α phase in specimens with normal annealing would transform from globular morphology to "worm-like" or banded morphology. βtrans structures in solution-treated specimens were constantly compressed due to their low hardness. Among the heat-treated specimens, the β annealed specimen owns the most large-angle grain boundaries, resulting in high texture intensity and anisotropy of materials. The occurrence of grain boundary α phase and coarse original β grain boundaries deteriorated the performance of the β annealed specimen against underwater explosion. In contrast, the solution heat-treatment process could improve the elongation property and further benefit large plastic deformation to avoid the premature cracking failure. Finally, a preliminary model was proposed to elaborate the toughening mechanism of Ti80 alloy plates subjected to underwater explosion. © 2023, The Authors. All rights reserved.

关键词： Microstructural evolution

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Performance Degradation Decomposition-Ensemble Prediction of Pemfc Using Ceemdan and Dual Data-Driven Model

SSRN

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SSRN 2023年

作者： Li, Changzhi Wu, Hangyu Li, Yang Zhu, Wenchao Xie, Changjun Gooi, Hoay Beng Zhao, Bo Zhang, Leiqi School of Automation Wuhan University of Technology Wuhan430070 China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China Modern Industry College of Artificial Intelligence and New Energy Vehicles Wuhan University of Technology Wuhan430070 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore State Grid Zhejiang Electric Power Research Institute Hangzhou310014 China

Proton exchange membrane fuel cells (PEMFCs) are essential modern sustainable energy generation devices that have received extensive research attention in recent years. Since such an electrochemical system has a limited lifetime, accurately estimating its performance degradation is critical for practical applications. When a large amount of measurement data is available, many nonlinear forecasting methods can be used to predict the performance degradation of a PEMFC system, and the prediction accuracy can be improved by optimizing the structure and parameters of the algorithm. However, the voltage recovery phenomenon would pose a challenge to the classical data-driven methods. In this work, we propose a novel hybrid data-driven PEMFC performance prediction framework by exploring the extensive degradation information buried in the voltage decay data. With complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), the raw voltage data are first decomposed into sequences of multiple time scales. Then, the linear and nonlinear components in the decomposed sequences are predicted by autoregressive integrated moving average (ARIMA) and the attention-based gated recurrent unit (GRU), respectively. Comparative studies show that the proposed method can improve the prediction performance by 35.0% to 90.6% compared to state-of-the-art algorithms on the basis of an open-source dataset of PEMFCs. © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Identification and recovery path planning of Marine garbage patch based on Machine vision

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Journal of Physics: Conference Series 2021年第1期1907卷

作者： Wenbin Zhang Sheng Zhao Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China. Wuhan University of Technology Wuhan China.

At present, the environmental problems in the water are becoming more and more prominent, and many teams are working on the research of the automation of garbage collection at sea. In order to a ready-made sea on the garbage recycling equipment automation, intelligent recognition for all white plastic and in identifying regional planning the path of the recycling of recycling equipment, aiming at different times during the day under the sea lighting situation, puts forward a visual processing and multi-step sea boundary identification method. After the image is processed by using two peak method normalized Canny boundary scan and other methods, the vertical and horizontal scanning and boundary recognition are carried out to obtain the closed Marine garbage main body area. Finally, Zigzag algorithm is used to carry out recovery path planning in the scanned area, and the results under different search radii are compared and analysed. The experimental results show that this method is applicable to a wide range of applications and has high accuracy and practicability, and the recognition results are satisfactory.

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

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Journal of Physics: Conference Series 2021年第2期1865卷

作者： Hongyang Zhang Weier Xiang Kailai Zhou Lin Xu School of Wuhan University of Technology Wuhan China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan 430070 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.

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Communication-Efficient MARL for Platoon Stability and Energy-efficiency Co-optimization in Cooperative Adaptive Cruise Control of CAVs

arXiv

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arXiv 2024年

作者： Hua, Min Chen, Dong Jiang, Kun Zhang, Fanggang Wang, Jinhai Wang, Bo Zhou, Quan Xu, Hongming The School of Engineering University of Birmingham Birmingham United Kingdom The Environmental Institute & Link Lab & Computer Science University of Virginia VA United States The School of Automation Southeast University Nanjing China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China The Automotive New Technology Research Institute BYD Auto Shenzhen China The School of Automotive Studies Tongji University Shanghai China

Cooperative adaptive cruise control (CACC) has been recognized as a fundamental function of autonomous driving, in which platoon stability and energy efficiency are outstanding challenges that are difficult to accommodate in real-world operations. This paper studied the CACC of connected and autonomous vehicles (CAVs) based on the multi-agent reinforcement learning algorithm (MARL) to optimize platoon stability and energy efficiency simultaneously. The optimal use of communication bandwidth is the key to guaranteeing learning performance in real-world driving, and thus this paper proposes a communication-efficient MARL by incorporating the quantified stochastic gradient descent (QSGD) and a binary differential consensus (BDC) method into a fully-decentralized MARL framework. We benchmarked the performance of our proposed BDC-MARL algorithm against several several non-communicative and communicative MARL algorithms, e.g., IA2C, FPrint, and DIAL, through the evaluation of platoon stability, fuel economy, and driving comfort. Our results show that BDC-MARL achieved the highest energy savings, improving by up to 5.8%, with an average velocity of 15.26 m/s and an inter-vehicle spacing of 20.76 m. In addition, we conducted different information-sharing analyses to assess communication efficacy, along with sensitivity analyses and scalability tests with varying platoon sizes. The practical effectiveness of our approach is further demonstrated using real-world scenarios sourced from open-sourced OpenACC. Copyright © 2024, The Authors. All rights reserved.

关键词： Energy efficiency

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Research on the Choice Strategy of Electric Vehicle Charging Users

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IOP Conference Series: Materials Science and Engineering 2018年第1期366卷

作者： Y Zhu D Zhou Z Den S J Chen X You Hubei Key Laboratory of Advanced Technology for Automotive Components Automobile Engineering Institute Wuhan University of Technology 205 Luoshi Road Hongshan District Wuhan 430070 China. School of Automation Wuhan University of Technology Wuhan 430070 China

Starting from the perspective of electric vehicle users, this paper analyzes the service needs of different users for charging electric vehicles and considers various objective conditions of electric vehicles: the remaining electric vehicles, the driving distance from the charging pile / station, the charging of electric vehicles Charging time, the location of the charging equipment, etc., gives several user selection strategies that minimize the energy loss of electric vehicles, minimize the time spent by electric vehicle users, and optimize the comprehensive cost of users. Through the theoretical analysis and experimental simulation results, the advantages and disadvantages of several user selection strategies are compared to provide users with a good charging service for electric vehicles, and at the same time, the optimal choice of charging options for users is realized, The service quality of the car is conducive to the promotion and sustainable development of electric vehicles and charging equipment.

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