检索结果-内蒙古大学图书馆

Potential Field-Based Cooperative Adaptive Cruising Control for Longitudinal Following and Lane Changing of Vehicle Platooning

学校读者我要写书评

暂无评论

SSRN 2023年

作者： Zhang, Zhentao Li, Xueyun Su, Chuqi Liu, Xun Xiong, Xin Wang, Yiping 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 Technology Research Center of New Energy and Intelligent Connected Vehicle Engineering Wuhan University of Technology Wuhan430070 China Wuhan University of Technology China

Abstract: When the vehicle platooning enters the highway, the platooning often needs to perform continuous lane changing. The simultaneous occurrence of lateral and longitudinal following behavior makes it challenging for the vehicle platooning to maintain stability. To address the challenges of lateral and longitudinal stability in vehicle platooning, a control method based on Artificial Potential Field (APF) is proposed. The control method combines a non-linear gravitational potential field with a repulsive potential field. Moreover, a virtual trailing potential field is applied behind the follower vehicle to reduce the accumulation of longitudinal errors in the platoon. For the two-dimensional plane scenario, a vehicle lateral and longitudinal coupling controller based on the potential field force vector is designed. By introducing the virtual leading vehicle, the phenomenon of the follower vehicle early steering is avoided. The proposed potential field-based controller is validated in New Europe Drive Cycle (NEDC) working condition scenario and two-lane lane changing scenario. Compared with the common model predictive control method, the results indicate that the proposed control method can effectively improve the control accuracy of the longitudinal follow-up, and generate more compact lane change trajectories. © 2023, The Authors. All rights reserved.

关键词： Controllers

Design of Integrated Energy Monitoring System Based on Cloud Computing

学校读者我要写书评

暂无评论

Design of Integrated Energy Monitoring System Based on Cloud...

Electronic Materials and Information Engineering (EMIE), International Conference on

作者： Longlong Zhang Maoqiu Pu Peizhi Yang Zhiyuan Zhu Key Laboratory of Advanced Technique & Preparation for Renewable Energy Materials Ministry of Education Yunnan Normal University Kunming China Guangxi key laboratory of Automobile Components and Vehicle technology Guangxi University of Science and Technology Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing China

ISBN: (数字)9798350390223

ISBN: (纸本)9798350390230

To fully utilize limited energy resources and address the inefficiencies in existing energy management, the authors proposed a comprehensive energy monitoring system design based on cloud computing, starting from the perspective of system network architecture. This system leverages existing resources effectively and incorporates overall scheduling, real-time monitoring, and predictive functionalities. The system operates on a cloud computing platform, processing data from three types of energy metering devices generated by sensors (electricity meter, water meter, gas meter) to provide users with real-time energy consumption data, represented as (0.50, 0.23, 0.10). These values are very close to the actual power consumption values (0.47, 0.21, 0.08), within an acceptable energy consumption range, achieving an average accuracy of 98%. This proves the high accuracy of cloud computing in remote real-time data transmission. Furthermore, the system utilizes the high reliability and scalability of cloud computing to offer integrated resource management, customized application, and virtualization platform switching services to customers, enabling information-based management of energy reserves, consumption, and equipment operation.

关键词： Meters Cloud computing Energy consumption Accuracy Switches Real-time systems Virtualization

An Extented Single Particle Method for Lithium-ion Batteries

学校读者我要写书评

暂无评论

An Extented Single Particle Method for Lithium-ion Batteries

Power Electronics and Application Symposium (PEAS), IEEE International

作者： Haiqin Song Jianqiang Kang Qian Wang Jing V. Wang Guorong Zhu Chunhu Qian Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China College of Automation Wuhan University of Technology Wuhan China Energy Storage Department Flextech Company Wuhan China

In order to reduce the computational complexity of the electrochemical modelling of lithium-ion batteries and improve the computational speed, this paper proposes a simplification method for the modelling of lithium-ion batteries. Based on the existed single particle model of lithium-ion battery, this article simplifies the solid-liquid diffusion process and proposes an extended single particle model. Simulation based on COMSOL is performed to verify the proposed model. Compared with the full order electrochemical model, the calculation speed of the proposed method under 1C discharge rate only takes 0.6054 seconds, which is only 10.9% of P2D. In addition, the mean square error under constant current condition is 2.95 mV only, and the dynamic condition error is 10.12 mV. The results verify the superiority of the proposed model in calculation speed with enough accuracy.

关键词：

Role of Nanolubricants Formulated in Improving Vehicle Engines Performance

学校读者我要写书评

暂无评论

Role of Nanolubricants Formulated in Improving Vehicle Engin...

第二届先进电子材料、计算机与材料工程国际学术会议（AEMCME 2019）

作者： Mohamed Kamal Ahmed Ali Hou Xianjun Mohamed A.A.Abdelkareem Ammar H.Elsheikh Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Automotive and Tractors Engineering Department Faculty of Engineering Minia University Department of Production Engineering and Mechanical Design Tanta University

Transportation sector is a primary consumer of different energy resources, especially in vehicles. Accordingly, industrial society needs novel affordable strategies, accessible and sustainable for fuel economy and reducing the exhaust emissions from combustion engines. The wear and friction are a principal reason for energy dissipation owing to the frictional losses that reach 17-19% of the engine output power. Improving the tribological properties and engines performance is a straightforward approach for saving energy and decreasing emissions using nanomaterials as eco-friendly based nanolubricants to replace the environmentally harmful additives of the traditional commercial engine oils. This study summarizes the recent advances in the area of nanolubricant additives and engine performance lubricated by nanolubricants additives.

关键词：

Wheel Speed Identification and Longitudinal Vehicle Speed Estimation for Four-Wheel Drive Vehicles

学校读者我要写书评

暂无评论

Wheel Speed Identification and Longitudinal Vehicle Speed Es...

Conference on Vehicle Control and Intelligence (CVCI)

作者： Dongmei Wu Zixuan Liu Taowei Yan Pei Zhang Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Dongfeng Research and Development Center Passenger Vehicle Platform Center Dongfeng Motor Corporation Wuhan China

ISBN: (数字)9798331504892

ISBN: (纸本)9798331504908

To address the issue of vehicle speed estimation, particularly at low speeds, applicable to various environmental conditions, especially in the absence of driven wheels for vehicles equipped with four-wheel drive systems, a rule-based wheel speed identification and vehicle speed estimation method is proposed. This technique leverages wheel speed sensors and longitudinal acceleration sensors for vehicles to enhance the precision of wheel speed identification at low speeds and enhance the adaptability of vehicle speed estimation under different conditions. Firstly, to tackle the problem of no wheel speed pulse signal passing within one sampling period at low speeds, estimation is achieved through time accumulation, enabling effective wheel speed identification for both high and low-speed. Furthermore, utilizing the Kalman filtering algorithm and Butterworth filter, the wheel speed and wheel acceleration are filtered separately to reduce signal fluctuations caused by noise interference, thereby providing reliable input signals for estimating vehicle speed. Building upon this, A method for estimating vehicle speed based on the gradient constraint approach is proposed, taking into account the sequential relationships of each wheel speed and the longitudinal acceleration signal. Finally, real vehicle tests under different conditions demonstrate that the proposed vehicle speed estimation technique achieves high estimation accuracy, meeting the vehicle's speed estimation requirements under various environmental factors.

关键词： Fluctuations Noise Buildings Wheels Estimation Interference Filtering algorithms Environmental factors Sensors Kalman filters

A Simplified Electrochemical Model for Lithium-Ion Batteries Based on Ensemble Learning

学校读者我要写书评

暂无评论

SSRN 2023年

作者： Zhu, Guorong Kong, Chun Wang, Jing V. Chen, Weihua Wang, Qian 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 Wuhan430070 China College of Chemistry Green Catalysis Center Zhengzhou University Zhengzhou450001 China

The mass transfer in lithium-ion batteries is a low-frequency dynamic that affects the voltage and performance of lithium-ion batteries. To find an effective way to describe the mass transfer in lithium-ion batteries, a simplified electrochemical lithium-ion battery model based on ensemble learning is proposed. The proposed model simplifies lithium-ion transfer in electrode particles with ensemble learning which ensembles discrete-time realization algorithm (DRA), fractional-order Padé approximation model (FOM), and three parameters parabolic (TPM). The lithium-ion transfer in the electrolyte is simplified by the first-order inertial element (FIE). The results show that the proposed model achieves not only accurate lithium-ion concentration prediction in solid and electrolyte phase but also precise voltage prediction with low computational complexity. © 2023, The Authors. All rights reserved.

关键词： Lithium-ion batteries

A Simplified Electrochemical Lithium-Ion Batteries Model Based on Physics-Informed Neural Networks

学校读者我要写书评

暂无评论

SSRN 2024年

作者： Kong, Chun Zhu, Guorong Peng, Hualiang Yu, Mi Li, Yun Wang, Jing V. Kang, Jianqiang Wang, Qian State Key Laboratory of Maritime Technology and Safety Wuhan University of Technology Wuhan430070 China 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 Wuhan430070 China Wuhan ZWGK New Energy Co.Ltd Wuhan430070 China

Simplified electrochemical models with simple structure and low computational complexity are suitable for real-time battery management systems (BMS). However, the simplification of assumptions and the solution of partial differential equations in simplified electrochemical models introduce some errors. For the tradeoff between complexity and accuracy, we propose a long short-term memory network with residual electrochemical model (LrEM) for lithium-ion batteries. The solid phase lithium-ion diffusion is simplified by a long short-term memory network with residual (LSTM_Res), and the lithium-ion diffusion in the electrolyte is simplified by a long short-term memory (LSTM) network. The networks in LrEM are trained with unsupervised learning according to the physical mechanism in lithium-ion batteries. The results indicate that LrEM is capable of precisely predicting the concentration of lithium ions in both solid and electrolyte phases, as well as accurately forecasting the voltage across various current rates. The LrEM completes 8000s charge and discharge dynamics with only 1.499s, which makes it possible to be applied in future real-time BMS. © 2024, The Authors. All rights reserved.

关键词： Long short-term memory

Temperature Characteristics of Silicon Carbide Particulate Filter During Drop-to-Idle Regeneration Applied to a Diesel Vehicle

学校读者我要写书评

暂无评论

SSRN 2022年

作者： Cai, Zhizhou Yan, Fuwu Hu, Jie Zhu, Lei Chen, Peng Liao, Jianxiong Wu, Yan 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 Kailong High Technology Company Limited Wuxi214174 China

During the active regeneration process, engine speed may drop to idle (DTI) under extreme circumstances, where the diesel particulate filter (DPF) is subjected to severe thermal stress that can cause DPF cracks. To prevent the filter thermal damage, this study investigated the temperature variation of silicon carbide (SiC) substrate with different vehicle speed, initial soot load, regeneration duration and target DTI regeneration temperature under the real vehicle road conditions . The results showed that the peak temperature and temperature gradient were greatly increased at the rear end of DPF. The radial temperature distribution in DPF was not uniform, and the heat convection in outer rings was especially significant. The maximum temperature and maximum temperature gradient increased as the PM load and target DTI regeneration temperature increased, whereas vehicle speed and regeneration duration had the opposite effect. Similar results were also found in regeneration efficiency. To enable better regeneration performance and fuel economy within the DPF heat capacity, appropriate soot load threshold and target DTI regeneration temperature should be carefully selected. Finally, the maximum temperature and maximum temperature gradient prediction models of DPF regeneration were developed based on experimental data. The models' average errors were 1.06% and 2.66%, respectively, and could be used to determine the temperature curve and the soot load threshold for safe regeneration. © 2022, The Authors. All rights reserved.

关键词： Drops

Effect of Deep Cryogenic Treatment on Microstructure and Mechanical Properties of Fe50mn30co10cr10 High Entropy Alloy Fabricated by Laser Metal Deposition

学校读者我要写书评

暂无评论

SSRN 2024年

作者： Liu, Guocheng Dang, Tianqi Hu, Ning Sun, Ming Li, Jianjiang Wei, Wenting Hua, Lin Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China School of Automotive Engineering Wuhan University of Technology Wuhan430070 China State Key Laboratory of Materials Processing and Die & Mould Technology Huazhong University of Science and Technology Wuhan430074 China Hubei Longzhong Laboratory Xiangyang441000 China The State Key Laboratory of Refractories and Metallurgy Wuhan University of Science and Technology Wuhan430081 China

As a typical additive manufacturing technology, laser melting deposition (LMD) has been widely used to process high entropy alloy (HEA). However, deposited products usually have poor mechanical properties. In this study, deep cryogenic treatment (DCT) is proposed to enhance the mechanical performance of the laser melting deposited Fe50Mn30Co10Cr10 high entropy alloy. When the specimen underwent 48 hours of immersion during DCT processing, the tensile strength, hardness and strength-plasticity product of the DCTed HEA were 901 MPa, 286HV and 33.3 GPa%, respectively. Compared with as-deposited state, the HCP Ε phase content, average grain size and tensile strength of the DCT 48h samples increased by 2.2 times, 58.0% and 30.8%, respectively. Furthermore, the friction coefficient and wear rate of the DCT Fe50Mn30Co10Cr10 reduced by 25.6% and 30.3%, respectively. More HCP Ε phases generated inside and at the boundaries of FCC γ grains because of the transformation-induced plasticity (TRIP) effect for the Fe50Mn30Co10Cr10 alloy triggered by the DCT processing. Dynamic recrystallization helped to refine FCC γ grain structures in the HEA due to high temperature gradient soaking in liquid nitrogen. The results showed that the excellent mechanical performances could be attributed to the synergistic effects of fine-grain strengthening and second-phase particle dispersion strengthening. Moreover, the DCT processing played an important role in overcoming the strength-ductility trade-off for the additively manufactured Fe50Mn30Co10Cr10 high entropy alloy. © 2024, The Authors. All rights reserved.

关键词： High-entropy alloys