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Characterization and identification towards dynamic-based electrical modeling of lithium-ion batteries

Journal of Energy Chemistry 2024年第5期92卷 738-758页

作者： Chuanxin Fan Kailong Liu Yaxing Ren Qiao Peng School of Automation Nanjing Institute of TechnologyNanjing 211167JiangsuChina School of Control Science and Engineering Shandong UniversityJinan 250100ShandongChina School of Engineering University of LincolnLincoln LN67TSUK Information Technology Analytics&Operations GroupQueen’s University BelfastBelfast BT95EEUK

Lithium-ion batteries are widely recognized as a crucial enabling technology for the advancement of electric vehicles and energy storage systems in the *** design of battery state estimation and control algorithms in battery management systems is usually based on battery models,which interpret crucial battery dynamics through the utilization of mathematical ***,the investigation of battery dynamics with the purpose of battery system identification has garnered considerable attention in the realm of battery *** methods in terms of linear and nonlinear response of lithium-ion batteries have emerged as a prominent area of study in this *** review has undertaken an analysis and discussion of characterization methods,with a particular focus on the motivation of battery system ***,this work encompasses the incorporation of frequency domain nonlinear characterization methods and dynamics-based battery electrical *** aim of this study is to establish a connection between the characterization and identification of battery systems for researchers and engineers specialized in the field of batteries,with the intention of promoting the advancement of efficient battery technology for real-world applications.

关键词： Lithium-ion battery Battery dynamics Nonlinear characterization Nonlinear battery model

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Event-triggered Adaptive Penalty Model Predictive control for Hybrid Energy Storage System 3

Event-triggered Adaptive Penalty Model Predictive Control fo...

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3rd International Conference on Energy, Power and Electrical Technology, ICEPET 2024

作者： Wang, Siqi Li, Zihao Guo, Yuchao Fan, Yuan Anhui University School of Electrical Engineering and Automation Anhui Hefei China Zhejiang University College of Control Science and Engineering Zhejiang Hangzhou China

ISBN: (纸本)9798350352658

This work proposes an optimized voltage stabilization approach for electric vehicles (EVs) integrated with PV systems and a hybrid energy storage system (HESS). Specifically, the combination of Adaptive Penalty Model Predictive control (APMPC) and an Event-triggered (ET) mechanism is utilized to effectively regulate the PV output and storage response when the solar irradiance increases suddenly. This approach dynamically adjusts the operation of system to maintain a stable DC bus voltage. Simulations validate the effectiveness of the proposed method in stabilizing the voltage and improving energy utilization, thereby contributing to the development of sustainable and efficient EVs systems. © 2024 IEEE.

关键词： Predictive control systems

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Alternating current heating techniques for lithium-ion batteries in electric vehicles:Recent advances and perspectives

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Journal of Energy Chemistry 2024年第9期96卷 679-697页

作者： Xinrong Huang Jinhao Meng Wei Jiang Wenjie Liu Kailong Liu Yipu Zhang Daniel-Ioan Stroe Remus Teodorescu School of Energy and Electrical Engineering Chang’an UniversityXi’an 710018ShaanxiChina School of Electrical Engineering Xi’an Jiaotong UniversityXi’an 710049ShaanxiChina School of Highway Chang’an UniversityXi’an 710018ShaanxiChina School of Automation Northwestern Polytechnical UniversityXi’an 710072ShaanxiChina School of Control Science and Engineering Shandong UniversityJinan 250100ShandongChina Department of Energy Aalborg UniversityAalborg 9220Denmark

The significant decrease in battery performance at low temperatures is one of the critical challenges that electric vehicles(EVs)face,thereby affecting the penetration rate in cold *** current(AC)heating has attracted widespread attention due to its low energy consumption and uniform heating *** paper introduces the recent advances in AC heating from the perspective of practical EV ***,the performance degradation of EVs in low-temperature environments is introduced *** concept of AC heating and its research methods are ***,the effects of various AC heating methods on battery heating performance are *** on existing studies,the main factors that affect AC heating performance are ***,various heating circuits based on EVs are categorized,and their cost,size,complexity,efficiency,reliability,and heating rate are elaborated and *** evolution of AC heaters is presented,and the heaters used in brand vehicles are sorted ***,the perspectives and challenges of AC heating are *** paper can guide the selection of heater implementation methods and the optimization of heating effects for future EV applications.

关键词： Lithium-ion battery Low temperature Alternating current heating Heater Electric vehicle

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Dual Sparse Variational Autoencoder-driven Interactive Estimation of Distribution Algorithm with User Generated Contents

Dual Sparse Variational Autoencoder-driven Interactive Estim...

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2024 International Conference on New Trends in Computational Intelligence, NTCI 2024

作者： Yang, Hang Bao, Lin Sun, XiaoYan Peng, YuMeng Jiangsu University of Science and Technology School of Automation Zhenjiang China China University of Mining and Technology School of Information and Control Engineering Xuzhou China

ISBN: (纸本)9798331517021

Personalized search and recommendation tasks in a big data environment have attracted wide attention from researchers while also presenting significant *** paper proposed a dual sparse variational autoencoder-driven interactive estimation of distribution algorithm with user generated contents, which considers digging deeper into user generated contents and combining with intelligent evolutionary optimization methods. Firstly, user generated contents in web are extensively collected to build a user interest preference model based on dual sparse variational autoencoders to extract users' preference features. Secondly, the distribution probability is reconstructed according to the neurons of the output layer of the sparse variational autoencoders in the user interest preference model. Combining with Gaussian probability density function, a estimation of distribution sampling probability model based on the user interest preferences is designed in the framework of an interactive estimation of distribution algorithm to generate new individuals with the user preference information. Meanwhile, a user evaluation surrogate model based on the user interest preferences is established by integrating matrix factorizations to participate in a personalized evolutionary search process. Finally, according to new user generated contents and model management mechanisms, the user interest preference model and related models are dynamically updated to guide the interactive personalized evolutionary search for personalized recommendation task. Extensive experiments on various actual public datasets are executed to validate the feasibility, effectiveness and interpretability of the proposed algorithm. It improves the performance of personalized search and recommendation methods. © 2024 IEEE.

关键词： Matrix factorization

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A Novel Three-DOF Transverse Flux Spherical Actuator With Decoupling Mechanism 26

A Novel Three-DOF Transverse Flux Spherical Actuator With De...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Liu, Xiaoshuai Yan, Liang Xiang, Pengjie He, Xinghua Du, Nannan Wu, Chong Beihang University School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beijing China

ISBN: (纸本)9798350317589

This paper proposes a novel multi-DOF spherical actuator based on transverse flux and three-DOF decoupling mechanism. Firstly, the structure and working principle of the new multi-DOF spherical actuator are presented. Then, numerical simulations are performed to analyze its magnetic field and torque, resulting in the basic performance curve of the spherical motor. Finally, The structure of this spherical actuator is optimized by numerical simulation. The optimization results show that the performance of the optimized spherical actuator has been effectively improved in terms of torque ripple, output torque and control precision. © 2023 IEEE.

关键词： Spheres

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A Spoke-Type PM Machine with Quasi-Trapezoid Magnets and Quasi-Dovetail Iron Poles 26

A Spoke-Type PM Machine with Quasi-Trapezoid Magnets and Qua...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Xiang, Pengjie Liang, Yan He, Xinghua Liu, Xiaoshuai Du, Nannan Yang, Xuxu Beihang University School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beijing China

ISBN: (纸本)9798350317589

This paper proposes a spoke-type PM machine with quasi-trapezoid magnets and quasi-dovetail iron poles (SPM-QMQI). The SPM-QMQI can offer several merits. First, the employment of quasi-trapezoid magnet and iron pole help to achieve strong flux-focusing effect and high saliency ratio, respectively, which contributes to enhancing torque output of the SPM-QMQI machine. Second, the quasi-dovetail iron can enhance flux-shielding effect and thus the rotor yoke can be replayed with low-density non-ferromagnetic material contributing to reducing rotor mass. Besides, the dovetail-shaped iron pole can protect the rotor magnet against centrifugal force, and thus the conventional rotor sleeve can be removed contributing to a small airgap length. Third, the magnet usage efficiency of electrical machine can be increased greatly, because of the magnet volume reduction and torque improvement. First, the schematic structure and characteristics of proposed QMQI pole pattern are presented. Subsequently, the impact of the key structural parameters and current angle of the QMQI pole pattern on the output characteristics of the electrical machine is investigated. Following that, the electromagnetic characteristics of the proposed QMQI pole design, such as airgap magnetic field, back electromotive force, torque output and ripple, magnet loss, rotor mass and magnet utilization ratio, are compared with with those of the conventional electric machine design to confirm the merits of the proposed SPM-QMQI design. The SPM-QMQI machine have high torque output, low rotor mass and small magnet volume simultaneously, which is desirable for many industrial applications. © 2023 IEEE.

关键词： Iron

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Detecting physical laws from data of stochastic dynamical systems perturbed by non-Gaussianα-stable Lévy noise

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Chinese Physics B 2023年第5期32卷 337-342页

作者：陆凌弘志李扬刘先斌 State Key Laboratory of Mechanics and Control for Mechanical Structures College of Aerospace EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China School of Automation Nanjing University of Science and TechnologyNanjing 210094China

Massive data from observations,experiments and simulations of dynamical models in scientific and engineering fields make it desirable for data-driven methods to extract basic laws of these *** present a novel method to identify such high dimensional stochastic dynamical systems that are perturbed by a non-Gaussianα-stable Lévy *** explicitly,firstly a machine learning framework to solve the sparse regression problem is established to grasp the drift terms through one of nonlocal Kramers–Moyal *** the jump measure and intensity of the noise are disposed by the relationship with statistical characteristics of the *** examples are then given to demonstrate the *** approach proposes an effective way to understand the complex phenomena of systems under non-Gaussian fluctuations and illuminates some insights into the exploration for further typical dynamical indicators such as the maximum likelihood transition path or mean exit time of these stochastic systems.

关键词： data-driven modelling noise-induced transitions Lévy noise Kramers–Moyal formuas

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Receding horizon control for continuous-time mean-field systems

Receding horizon control for continuous-time mean-field syst...

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作者： Gao, Rong Liu, Junzhe Zhang, Fang Xu, Juanjuan Wang, Hongxia School of Mathematics and Statistics Science Ludong University Yantai China School of Control Science and Engineering Shandong University Jinan China College of Electrical and Automation Engineering Shandong University of Science and Technology Qingdao China

In this paper, we study the receding horizon control (RHC) stabilization of continuous-time mean-field system. An explicit RHC controller is obtained by introducing a cost function with two terminal matrices and the conditions that make the system stable are also obtained;that is, when two coupled Lyapunov inequalities are satisfied, the system controlled by RHC is stabilized. Finally, a simulation example is given to verify the effectiveness of the proposed strategy. © 2023 Chinese Automatic control Society and John Wiley & Sons Australia, Ltd.

关键词： Stabilization

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Fractal Converters with Boundless Current and Voltage Ratings 3

Fractal Converters with Boundless Current and Voltage Rating...

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3rd International Conference on Power Systems and Electrical Technology, PSET 2024

作者： Fang, Jingyang Jiang, Qin Yang, Hanqing Shandong University School of Control Science and Engineering Jinan China Sichuan University College of Electrical Engineering Chengdu China University of Electronic Science and Technology of China School of Automation Chengdu China

ISBN: (纸本)9798350353204

Extremely high current/voltage stresses challenge power electronics. This paper proposes a novel series of power converters, collectively referred to as Fractal (F) converters. F converters consist of several identical layers, which further comprise many identical cells or submodules. Salient benefits of F converters include but not limited to 1) modularity and scalability;2) boundless current and voltage ratings;3) high power quality;4) unified control applied to various layers;5) high reliability;6) control flexibility, e.g., for efficiency optimization. F converters will quickly find their applications in 1) high-voltage dc/ac transmissions;2) renewable energy generation;3) power quality enhancement equipment;4) electric vehicles;5) marine and aircraft propulsion;6) medical applications such as noninvasive magnetic stimulators;7) high-frequency high-power power supplies;8) plasma applications;9) future distributed power grids. For validations, simulation results are presented, demonstrating that F converters operate well as high-voltage and high-current inverters as well as arbitrary pulse generators. © 2024 IEEE.

关键词： Power converters

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Enhanced UAV Pursuit-Evasion Using Boids Modelling:A Synergistic Integration of Bird Swarm Intelligence and DRL

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Computers, Materials & Continua 2024年第9期80卷 3523-3553页

作者： Weiqiang Jin Xingwu Tian Bohang Shi Biao Zhao Haibin Duan Hao Wu School of Information and Communications Engineering Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an710049China China Academy of Electronics and Information Technology China Electronics Technology Group Corporation(CETC)Beijing100041China Department ofAutomatic Control School of Automation Science and Electrical EngineeringBeihangUniversityBeijing100191China

TheUAV pursuit-evasion problem focuses on the efficient tracking and capture of evading targets using unmanned aerial vehicles(UAVs),which is pivotal in public safety applications,particularly in scenarios involving intrusion monitoring and *** address the challenges of data acquisition,real-world deployment,and the limited intelligence of existing algorithms in UAV pursuit-evasion tasks,we propose an innovative swarm intelligencebased UAV pursuit-evasion control framework,namely“Boids Model-based DRL Approach for Pursuit and Escape”(Boids-PE),which synergizes the strengths of swarm intelligence from bio-inspired algorithms and deep reinforcement learning(DRL).The Boids model,which simulates collective behavior through three fundamental rules,separation,alignment,and cohesion,is adopted in our *** integrating Boids model with the Apollonian Circles algorithm,significant improvements are achieved in capturing UAVs against simple evasion *** further enhance decision-making precision,we incorporate a DRL algorithm to facilitate more accurate strategic *** also leverage self-play training to continuously optimize the performance of pursuit *** experimental evaluation,we meticulously designed both one-on-one and multi-to-one pursuit-evasion scenarios,customizing the state space,action space,and reward function models for each *** simulations,supported by the PyBullet physics engine,validate the effectiveness of our proposed *** overall results demonstrate that Boids-PE significantly enhance the efficiency and reliability of UAV pursuit-evasion tasks,providing a practical and robust solution for the real-world application of UAV pursuit-evasion missions.

关键词： UAV pursuit-evasion swarm intelligence algorithm Boids model deep reinforcement learning self-play training

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