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2023 2nd International Conference on New Energy, Energy Storage and power Engineering, NESP 2023

作者： Sun, Yanzhao Zou, Tao Li, Dianhong Li, Juntao School of Electrical Engineering and Automation Wuhan University Hubei Wuhan430072 China Big Pawer Electrical Technology Xiangyang Co. Ltd. Hubei Xiangyang441057 China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Hubei Xiangyang441053 China Hunan Vanadium Valley New Energy Technology Co. Ltd. Hunan Changsha410116 China

When the vanadium battery was running, pump frequency and current density were two frequently adjusted parameters. When the pump frequency was constant, the main flow-electrical parameter variation needs to be further studied. To this end, a 10 kW vanadium battery was built. When the current density was relatively high during the charge-discharge, the flow-electrical parameters of the cathode and anode including the temperature, flow resistance, turning voltage difference, capacity loss, energy loss and energy efficiency were studied. Besides, the compositions of capacity and energy were introduced, and the loss calculation scheme was proposed. Firstly, in flow analysis, the flow resistance was defined, which represents the flow state of the electrolyte. It was found that the flow resistance was nearly linear with the temperature. Secondly, in electric analysis, the turning voltage difference increased with the current density increasing. For the same current density, the total energy loss of charge was less than the discharge, and the energy loss of bypass was less than the internal resistance. With the current density increasing, the energy efficiency decreased. The research can be provided insight into the optimizing operation for the vanadium battery. © Published under licence by IOP Publishing Ltd.

关键词： Current density

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Automating smart Internet of Things devices in modern homes using context-based fuzzy logic

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Computational Intelligence 2024年第1期40卷 e12370-e12370页

作者： Ming, Chen Kadry, Seifedine Dasel, A. Antony Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang China School of Automotive and Traffic Engineering Hubei University of Arts and Science Xiangyang China Department of Mathematics and Computer Science Beirut Arab University Beirut Lebanon Department of Mechanical Engineering VIT University Vellore India

Internet of Things (IoT) is mainly used to connect different embedded objects over the internet to make communication between them possible. With the help of IoT, devices find a way to interact, work together, and study from each other's experiences just like humans do. IoT finds its way in applications such as smart home, smart city, healthcare, agriculture, and so on. The name smart home arises due to the automation of the normal home appliances to make it smart. When the devices of the normal smart home are connected via the internet, they become a part of the IoT. The smart home should ensure the following characteristics such as security, comfort, convenience, and energy saving. The article presents a technique for IoT controlled devices in a smart home using context-based fuzzy logic. Fuzzy logic is mainly used to monitor and analyze the real-time data collected from the sensors in the smart homes from various environments. Context-based fuzzy logic uses a multivalued logic principle which differs from the normal Boolean logic, where the truth value lies between only zero and one (ie, true or false). The proposed smart home is implemented in a real case scenario where it yields an accuracy of 90.5%, response time of 6.41 milliseconds, and an F-measure of 97%. © 2020 Wiley Periodicals LLC.

关键词： Internet of things

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Stackelberg-Game Computation Offloading Scheme for Parked Vehicle-Assisted VEC and Experiment Analysis

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-12页

作者： Liu, Chunhong Zhao, Mengdi Wang, Huaichen Cheng, Bo Liu, Jialei Yuan, Peiyan Engineering Lab of Intelligence Business & Internet of Things and School of Computer and Information Engineering Henan Normal University Xinxiang China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle and School of Computer Engineering Hubei University of Arts and Science Xiangyang China

Vehicle edge computing (VEC) offers users low-latency and high-reliability services by using computational resources at the network's edge. Nevertheless, because of inadequate infrastructure and limited resources, computation-intensive and delay-sensitive vehicle applications cannot be performed efficiently at the edge. Therefore, several studies have used the idle resources of parked vehicles to assist in computation offloading. In this paper, we propose a parked vehicle-assisted vehicle edge computing architecture considering multi-agent collaboration, including intelligent vehicles and edge servers. Additionally, we propose a framework for a parallel Internet of Vehicles (IoV) utilizing computational experiment. The service provider is assigned the role of owning VEC resources and recruiting parking vehicle resources. The model was constructed by using the resource consumption-service relationship of both offloading parties to ensure service quality. First, a Stackelberg game model was constructed based on the interaction between requesting vehicles and a service provider. The latter was the leader, and the requesting vehicles were the followers. The Nash equilibrium for optimal pricing and offloading allocations was attained and verified, and a distributed gradient-based equilibrium algorithm was designed to solve the Stackelberg game model and obtain the final decision through mutual communication. The method also protects the privacy of participants and respects the willingness of requesting vehicles to offload. Finally, the simulation experiments confirmed that the proposed algorithm can achieve game equilibrium. Furthermore, it outperformed state-of-the-art algorithms in improving the service provider's utility. IEEE

关键词： Vehicles

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Evolutionary Competitive Multiobjective Multitasking: One-Pass Optimization of Heterogeneous Pareto Solutions

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IEEE Transactions on Evolutionary Computation 2024年

作者： Li, Yanchi Wu, Xinyi Gong, Wenyin Xu, Meng Wang, Yubo Gu, Qiong China University of Geosciences School of Computer Wuhan430074 China Nanyang Technological University College of Computing and Data Science 639798 Singapore Hubei University of Arts and Science School of Computer Engineering Xiangyang441053 China Hubei University of Arts and Science Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Xiangyang441053 China

Competitive multiobjective multitask optimization (CMO-MTO) problems involve multiple tasks with comparable objectives but heterogeneous decision variables. The final Pareto front in CMO-MTO consists of multiple subsets corresponding to different tasks. Since the Pareto front subset of one task may be dominated by that of another, competition arises among tasks. Additionally, there may be exploitable similarities among tasks that evolutionary multitasking methods can leverage. For a comprehensive study of CMO-MTO, we construct 12 benchmark CMO-MTO problems with varied competitive relationships and inter-task similarities. To effectively solve CMO-MTO problems, we propose a reference vector contribution-based multitask evolutionary algorithm (RVC-MTEA). RVC-MTEA facilitates both global and local knowledge transfer based on vector contributions and integrates global archives to gather non-dominated solutions across multiple competitive tasks. Comparative results with four popular single-task and six state-of-the-art multitask evolutionary algorithms demonstrate the efficacy of RVC-MTEA. Finally, we apply RVC-MTEA to several real-world applications, showcasing the potential of CMO-MTO in practical decision-making scenarios. © 1997-2012 IEEE.

关键词： Competition

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Variable Speed Leakage Characteristics of Scroll Compressors for Miniature Compressed Energy Storage

SSRN

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SSRN 2024年

作者： Qi, Shijia Liu, Zhen Li, Zheng Zhang, Zhichao Huang, Tengjun Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Hubei Xiangyang441053 China School of Automotive and Traffic Engineering Hubei University of Arts and Science Hubei Xiangyang441053 China Department of Mechanical and Construction Engineering Northumbria University Newcastle upon TyneNE1 8ST United Kingdom

Scroll compressor is especially suitable for miniature compressed air energy storage systems. This paper analyzes the influence of rotational speed on the radial leakage characteristics of a scroll compressor by developing a three-dimensional transient numerical model with radial clearance. In this model, the fluid flow in the chamber of the scroll compressor at different rotating speeds is simulated using the dynamic grid technology. The method of monitoring points is used to obtain a lot of flow field information in the chamber during the working process, thus revealing the change in the transient flow field in the chamber and the influence of rotational speed on compression performance. The results show that within a certain speed range, when the power consumption increases, the deviation between the theoretical volume flow rate and the actual volume flow rate increases with the increase in speed, but the leakage loss gradually decreases. The leakage flow disturbs the uniformity of flow field distribution in the corresponding chamber but does not change the evolution trend of the flow field. The air flow rate in each chamber is gradually increasing. Still, the upstream diffusion of the leakage air flow temperature in the same compression chamber is blocked, which leads to a gradual decrease in the air temperature in the corresponding chamber. As a result, the temperature in the chamber gradually becomes evenly distributed, and the high-temperature region is increasingly concentrated in the downstream region of the compression chamber. The results of this study provide a theoretical basis for the prototype's improvement and optimization by analyzing the scroll compressor's performance parameters in practical work. © 2024, The Authors. All rights reserved.

关键词： Numerical models

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Near-field Acoustic Holography Using Compressive Sensing and Particle Velocity Measurement

Near-field Acoustic Holography Using Compressive Sensing and...

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第八届国际振动工程会议

作者： Wen-Qian Jing Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science

The conventional near-field acoustic holography（NAH） is restricted by the Nyquist criterion to acquire higher accuracy and resolution with a small amount of spatial sampling *** by the compressive sensing（CS） theory, sparse sampling of pressuresignals is applied to NAH to reduce the number of spatial sampling points but still provide a high-resolution reconstruction image. This paperisgoing toconsider the sparsity of particle velocity signalsand apply it to NAH. Due to the superior performance of the particle velocity overthepressure, the NAH based on the CS and the particle velocity measurement can be expected to be effective and show advantage over the existing sparse sampling ofpressuremethods. And the numerical simulation results confirmed the interesting expectation.

关键词： near-field acoustic holography compressive sensing particle velocity

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Fast road scenarios recognition of intelligent vehicles by image processing

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International Journal of Information and Communication Technology 2021年第1期18卷 1-15页

作者： Wu, Huawei Li, Yicheng Zhang, Jie Kuang, Yong Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang441053 China School of Automotive and Traffic Engineering Hubei University of Arts and Science Xiangyang441053 China Automotive Engineering Research Institute Jiangsu University Zhenjiang212013 China Cangzhou Medical College Cangzhou061001 China Dongfeng Xiangyang Touring Car Co. Ltd. China

Road scenarios recognition is a key point for intelligent vehicles (IVs) self-localisation. This paper proposes a fast road scenarios recognition method by image processing, which is based on a visual road model. First, a sequence of images is used to set up a visual road model. Second, we use the ORB method to encode both holistic and local features of a query image. Third, we extend the use of H-KNN to fuse ORB-encoded holistic and local features for road scenarios recognition. Real-world driving tests have been carried out in different routes scenarios. The total lengths of these routes are more than 5 km. The experiment results show that the proposed method achieved 80.2% image recognition rate, with about 18 ms in average for localisation from one image. The results demonstrate that the main method is promising in term of recognition accuracy and speed to develop low-cost recognition device for IVs. © 2021 Inderscience Enterprises Ltd.

关键词： Computer vision

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Measurement of 3d Pavement Morphology Using Improved Binocular Reconstruction Under Structured Light Constraint Mechanism

SSRN

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SSRN 2024年

作者： Wang, Yuanyuan Zhang, Hengtong Shu, Haicheng Wang, Zhongren Xue, Jinshun Yang, Jianhua Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science No.296 Longzhong Road Xiangyang441053 China School of Mechanical Engineering Hubei University of Arts and Science No.296 Longzhong Road Xiangyang441053 China Enterprise Technical Center Bridge Construction Group Co.Ltd Xiangyang Road Xiangyang441023 China School of Civil Engineering and Architecture Hubei University of Arts and Science No.296 Longzhong Road Xiangyang441053 China

For the special object of asphalt pavement, due to dark surface color, weak regional texture, and inconspicuous features points, traditional binocular vision is not ideal for measuring the three-dimensional (3D) morphology. To achieve accurate measurement of 3D pavement morphology, this paper introduced sine-encoded stripe structured light and explores a matching strategy that combines image spatial domain information with frequency domain phase information. The phase shift iterative matching algorithm under structured light constraint mechanism was proposed. A binocular reconstruction measurement system was subsequently constructed to evaluate the measurement accuracy of the proposed algorithm and the measurement effect in real scenarios. The results show that the constraint effect of structured light enhances the effective matching between pixels and improves the measurement accuracy. The maximum absolute deviation measured by the proposed algorithm is only 0.4 mm, which can meet the precision requirements of 3D pavement morphology measurement. © 2024, The Authors. All rights reserved.

关键词： Morphology

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Measurement of 3d Pavement Morphology Using Improved Binocular Reconstruction Under Structured Light Constraint Mechanism

SSRN

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SSRN 2024年

关键词： Morphology

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Weighted registration of multiple trajectories of dynamic objects for online calibration of MMW radar and camera

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Measurement Science and Technology 2025年第6期36卷

作者： Huang, Gang Dong, Qinlei Cao, Huiling Chen, Zhenling Hu, Zhaozheng School of Automobile and Traffic Engineering Wuhan University of Science and Technology Wuhan430081 China Intelligent Transportation Systems Research Center Wuhan University of Technology Wuhan430063 China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Xiangyang441053 China

Multi-sensor fusion can improve the accuracy and reliability of information perception and is widely used in autonomous driving, smart AGVs, drones, and other intelligent agents. Considering the comprehensive efficiency and economy, the fusion of millimeter wave (MMW) radar and camera with complementary advantages is a potential solution in autonomous driving perception. The calibration flexibility of the two sensors determines the usability of the perception system. Unlike traditional offline calibration, dynamic calibration allows for flexible calibration using dynamic targets found in the environment. It can be applied when cumbersome offline calibration can not be performed or specific calibration templates are unavailable. The paper proposes dynamic calibration of MMW radar and camera by fusing trajectory constraints and multi-target (radar cross section) RCSs, On the one hand, trajectory constraints can preliminarily achieve the calibration of external parameters. On the other hand, introducing RCS can enhance the accurate tracking of target trajectories, enabling automated trajectory generation. By assigning higher calibration weights to trajectories with larger RCS values, both the calibration accuracy and the robustness of the entire perception system can be further improved. The selection of multiple targets ensures the wide applicability of the calibration results. RCS information reflects the signal-to-noise ratio of the target. Compared with existing traditional methods, this algorithm does not require dedicated calibration equipment. As targets are continuously acquired, more accurate calibration results can be iteratively refined. The algorithm offers high computational efficiency and good performance. Additionally, when sensors become loose while the vehicle is in operation, this algorithm can update the calibration results in conjunction with the system’s miscalibration detection mechanism, ensuring the long-term reliability of the entire system. Si

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