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Estimating Lithium-Ion Battery Health Status: A Temporal Deep Learning Approach With Uncertainty Representation

IEEE Sensors Journal 2025年

作者： Chen, Chuang Chen, Hongtian Shi, Jiantao Yue, Dongdong Shi, Ge Lyu, Dongzhen Shanghai Jiao Tong University Department of Automation Shanghai200240 China Nanjing Tech University College of Electrical Engineering and Control Science Nanjing211816 China Nanjing Tech University School of Geomatics Science and Technology Nanjing211816 China Wenzhou University College of Mechanical and Electrical Engineering Wenzhou325035 China

Precise estimation of the state-of-health (SOH) of lithium-ion batteries is essential for the reliable and safe functioning of energy storage systems. However, existing data-driven methods seldom account for the uncertainties involved in the battery degradation process, which diminishes the reliability of SOH estimation models. To address this issue, this paper proposes a novel temporal deep learning approach with uncertainty representation. In this methodology, temporal convolutional networks are employed for front-end feature extraction, effectively capturing temporal patterns within battery data. The Transformer architecture is utilized for SOH prediction, leveraging its capability to model complex dependencies in sequential data. To enhance predictive performance, the Transformer decoder is replaced by bidirectional long short-term memory quantile regression, allowing for the estimation of SOH values at various quantiles, providing a more detailed understanding of the battery’s health status. Finally, kernel density estimation is applied to transform these quantile estimates into probability density functions, offering a probabilistic interpretation of the SOH values. Experimental findings indicate that the proposed framework significantly improves the precision and reliability of SOH estimation when compared to other intelligent methods, making it a promising solution for real-time monitoring and management of lithium-ion batteries. © 2001-2012 IEEE.

关键词： Lithium-ion batteries

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Triggered Mechanism for Strict Feedback Systems Under Unknown control Directions

Triggered Mechanism for Strict Feedback Systems Under Unknow...

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Asian control Conference

作者： Guilong Liu Hongda Wu Yongliang Yang Wei Xie Weidong Zhang School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9789887581598

ISBN: (纸本)9798331540845

This paper presents an event-based asymptotic tracking control scheme designed for strict feedback systems with unknown control directions. The control directions directly determine how the controller acts on the system, thus impacting the system's stability and convergence speed. When the control directions are unknown, it presents a significant challenge in controller design. To tackle this issue, the Nussbaum-type gains are introduced. However, this method increases communication overhead. Hence, an event-triggered mechanism is introduced to alleviate this burden. Additionally, to achieve and maintain desired target states, satisfying control requirements and performance demands, this paper improves the event-triggered mechanism to achieve asymptotic tracking. Finally, the feasibility and effectiveness of the proposed design are validated through a simulation example.

关键词： Asymptotic stability Target tracking Stability criteria control systems Optimization Convergence

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Temporal Graph Convolutional Network-Based Fault Detection Method for the Two-Wheeled Self-Balancing Robot

Temporal Graph Convolutional Network-Based Fault Detection M...

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International Conference on Industrial Artificial Intelligence (IAI)

作者： Yuxiang Hu Peng Yue Hui Liu Jiajun Kang Dongliang Cui Xuewu Dai State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China Department of Mathematics Physics and Electrical Engineering Northumbria University Newcastle-upon-Tyne U.K.

ISBN: (数字)9798350356618

ISBN: (纸本)9798350356625

The fault detection method based on graph neural networks has been widely applied. However, few of these methods consider the dynamic characteristics and prior knowledge of control systems, resulting in limited usage for fault detection in control systems. To address this, this article proposes a fault detection method based on temporal graph convolutional neural network (T-GCN) and multi-layer perceptron (MLP), which is applicable to general linear dynamic control systems. The proposed method first constructs a relational graph based on prior knowledge of the control system and utilizes T-GCN to extract spatio-temporal relationships between various state variables and control input signals within the system. Then, a MLP integrates the extracted information to detect whether the control system has experienced faults. Finally, a two-wheeled self-balancing vehicle is utilized to test the effectiveness of the proposed method. The results demonstrate that the proposed approach could achieve high-precision detection of sensor faults within the system.

关键词： Knowledge engineering Machine learning algorithms Convolution Fault detection Heuristic algorithms control systems Robot sensing systems Graph neural networks Dynamical systems Vehicle dynamics

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Breaking Limitation of Convergence in Continuous Optimization: Predefined-Time Gradient Flows

Breaking Limitation of Convergence in Continuous Optimizatio...

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IEEE Conference on Decision and control

作者： Renyongkang Zhang Ge Guo Zhenyu Gao Miao Yu Lu Zhang Zhengsong Wang Meng Han Yanyan Yin College of Information Science and Engineering Northeastern University Shenyang China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China School of Electrical Engineering Computing and Mathematical Sciences Curtin University Perth Western Australia Australia

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

This paper investigates the continuous-time unconstrained optimization via dynamical gradient flow systems. For strongly convex objective functions, a gradient flow with predefined time convergence is proposed, which is suitable for relaxing the objective function to only satisfy the PolyakLojasiewicz ($\mathbf{P}-\mathrm{L}$) condition. A predefined-time convergent Newton’s flow is designed for the minimization of strictly convex functions. The proposed result is extended for strongly convex objective functions with time-varying parameters. In our schemes, the upper bound of convergence time can be used as a prior choice without involving system initialization and complex parameter calculations. The convergence of algorithms is rigorously proved by using the Lyapunov method. Numerical simulation illustrates the effectiveness of the proposed methods.

关键词： Upper bound Linear programming Numerical simulation Minimization Convex functions Optimization Convergence Lyapunov methods

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State-of-the-Art Shaped Profile Windings and Their Integrated Cooling Configurations Enabled by Additive Manufacturing Technology

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IEEE Transactions on Transportation Electrification 2025年

作者： Zhao, Han Li, Haoran Zhang, Xiaochen Li, Jing Xiong, Bin Yuan, Yixiang Ruan, Yixiao Zheng, Fuyuan Zhang, Rong Zhang, Wei Zhang, He Yongjiang Laboratory Advanced Electric Drive Centre Ningbo315202 China Chinese Academy of Sciences Institute of Electrical Engineering Beijing100080 China University of Nottingham Ningbo China Department of Electrical and Electronic Engineering Ningbo315100 China AVIC Xi’an Flight Automation Control Research Institute Xi’an710076 China

The ongoing development of transportation electrification is driving an increasing demand for higher motor power density. Improved thermal design of electrical machines, including both heat generation and dissipation aspects, could be beneficial for enhancing motor power density beyond current state of the art. As the main heat source, motor windings are being increasingly required with reduced loss generation and enhanced cooling capability. Owing to the considerable manufacturing flexibility offered by additive manufacturing (AM) technologies, shaped profile windings with unconventional geometries are extensively explored with the aim of AC loss suppression and slot utilization enhancement. Furthermore, these tailored winding profiles enable the integration of direct cooling configurations such as liquid channels or heat pipes, thereby improving their thermal behavior. However, a more intensive summary and comparison are necessary to further extend their investigations and applications based on a deeper understanding. Therefore, this paper aims to provide a comprehensive review of state-of-the-art shaped profile windings and their integrated direct cooling configurations enabled by AM technologies. Further to this, this article also discusses the merits and restrictions associated with additively manufactured windings and their direct cooling methods at the current stage. © 2015 IEEE.

关键词： AC machinery

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Point, Segment, and Inspect: Leveraging Promptable Segmentation Models for Semi-Autonomous Aerial Inspection

Point, Segment, and Inspect: Leveraging Promptable Segmentat...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Riccardo Franceschini Javier Rodriguez Marquez Matteo Fumagalli Julian Cayero Becerra Eurecat Centre Tecnològic de Catalunya Robotics and Automation Unit Cerdanyola del Vallès Barcelona Spain Department of Electrical Engineering Automation and Control Group Danish Technical University Lyngby Denmark

ISBN: (数字)9798350375022

ISBN: (纸本)9798350375039

Operating unmanned aerial vehicles (UAVs) for assets inspections poses distinct challenges encompassing the need to maintain a safe distance from the inspection area, ensure correct orientation towards the inspected surface, and achieve comprehensive coverage of the entire surface. Achieving these tasks is inherently complex and stressful. Therefore, a novel approach that seeks to enhance the piloting experience by harnessing the latest advancements in segmentation models, such as Segment Anything Model (SAM), is proposed. These models, thanks to their prompting capabilities, allow seamless communication between the operator and the UAV, opening up the possibility of defining intricate inspection regions through simple interactions. Within this approach, decision-making authority remains with the operator, while the UAV takes on the demanding task of segmenting the designated area and devising an appropriate traversal plan. Throughout this process, the operator’s situational awareness is heightened through visual cues overlaid on the camera stream and a 3D panel presenting information of the drone position and spatially sensed data. This teleoperation framework allows the operator to maintain continuous control of the ongoing operation through a simplified interface. The paper delineates both the system and the methodology employed, showcasing the effectiveness of integrating segmentation models into the decision-making workflow. The validity of the proposed framework is established through testing within a photorealistic UAV simulator along with real experiments in a controlled laboratory environment.

关键词： Visualization Three-dimensional displays Decision making Laboratories Inspection Traveling salesman problems Autonomous aerial vehicles Robot sensing systems Spatial databases Surface treatment

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Distributed Feedback Optimization of Networked Nonlinear Systems Using Relative Output Measurements*

Distributed Feedback Optimization of Networked Nonlinear Sys...

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European control Conference (ECC)

作者： Zhengyan Qin Tao Liu Tengfei Liu Zhong-Ping Jiang Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong HKU Shenzhen Institute of Research and Innovation Shenzhen China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China Department of Electrical and Computer Engineering New York University Brooklyn NY USA

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

This paper investigates the distributed feedback optimization problem of nonlinear multi-agent systems. In such systems, each agent can measure the relative outputs between itself and its neighbors but lacks access to their absolute states and internal controller states. By combining distributed optimization and singular perturbation methods, a novel distributed controller design is presented, that relies solely on each agent's real-time gradient values of its local objective function and its relative output measurements to neighboring agents. The boundedness of the closed-loop signals and the convergence of the agent outputs to the minimizer of the total cost are proved rigorously. A numerical example is conducted to validate the effectiveness of the proposed approach.

关键词： Costs Perturbation methods Europe Distributed feedback devices Linear programming Real-time systems Nonlinear systems

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Prototype of Turbine Propulsion System with controllable Thrust Vector for Long-Range Unmanned VTOL Aircraft 21st

Prototype of Turbine Propulsion System with Controllable Thr...

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21st Polish control Conference, PCC 2023

作者： Czyba, Roman Lemanowicz, Marcin Domin, Jaroslaw Grzybowski, Jacek Stępień, Izabela Ungier, Lukasz Rosiek, Radoslaw Bialas, Piotr Niemiec, Michal Department of Automatic Control and Robotics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology ul. Akademicka 16 Gliwice44-100 Poland Department of Chemical Engineering and Process Design Faculty of Chemistry Silesian University of Technology ul. Ks. M. Strzody 7 Gliwice44-100 Poland Department of Mechatronics Faculty of Electrical Engineering Silesian University of Technology ul. Akademicka 10a Gliwice44-100 Poland

ISBN: (纸本)9783031351723

The aim of the project was to build a prototype of a turbine drive with a controllable thrust vector for a long-range vertical take-off and landing (VTOL) aircraft. The construction of the prototype required the development of a vectoring system for the tail propulsion system and a dedicated VTOL aircraft stabilization and control system. The prototype of the turbine drive system was based on energy-efficient electric motors. Research also involved modeling the turbine propulsion aerodynamics with usage of computational fluid dynamics (CFD) analysis. As a result of the design stage, a prototype of the propulsion system was created, on which flight tests were carried out. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Computational fluid dynamics

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Concurrent Deterministic Execution Semantics for IEC 61499-based OT-IT Convergence Industrial Edge Applications

IEEE Open Journal of the Industrial Electronics Society

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IEEE Open Journal of the Industrial Electronics Society 2025年 6卷 982-993页

作者： Dai, Wenbin Gao, Shang Qin, Kaiyun Yu, Chuanyang Zhang, Dongdong Zhang, Likuan Zhang, Hui Shanghai Jiao Tong University Department of Automation Shanghai China Shanghai Baosight Software Co. Ltd China Beijing Urban Construction Intelligent Control Co. Ltd China Shanghai Jiao Tong University School of Electrical Information and Electronic Engineering Beijing Urban Construction Intelligent Control Joint Lab on Universal Automation China

Industrial edge computing provides new possibilities for traditional industrial automation systems. With massive computing, storage, and communication resources equipped with devices on the shop floor, a typical edge device can simultaneously handle multiple real-time and non-real-time tasks. Also, those tasks may include operation technologies, such as real-time control, and information technologies, such as data processing. Using a generic modeling language to design those new industrial edge applications becomes a challenge for site engineers. This paper proposes the IEC 61499 standard for operation and information technology convergence for industrial edge applications. The concurrent execution semantics of IEC 61499 function blocks are defined to support multiple applications simultaneously. The event scheduling rules are investigated to ensure the determinism of parallel executions of function block networks. Finally, a case study is provided for the performance analysis of the proposed concurrent execution semantics. © 2020 IEEE.

关键词： IEC 61499 Function Blocks Industrial Edge Computing OT-IT Convergence

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Dynamic Event-Triggered Quadratic Nonfragile Filtering for Non-Gaussian Systems:Tackling Multiplicative Noises and Missing Measurements

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IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1127-1138页

作者： Shaoying Wang Zidong Wang Hongli Dong Yun Chen Guoping Lu College of Science Shandong University of AeronauticsBinzhou 256603China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590 Department of Computer Science Brunel University LondonUxbridge UB83PHUK Artificial Intelligence Energy Research Institute Northeast Petroleum UniversityDaqing 163318 Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum UniversityDaqing 163318China School of Automation Hangzhou Dianzi UniversityHangzhou 310018China School of Electrical Engineering Nantong UniversityNantong 226019China

This paper focuses on the quadratic nonfragile filtering problem for linear non-Gaussian systems under multiplicative noises,multiple missing measurements as well as the dynamic event-triggered transmission *** multiple missing measurements are characterized through random variables that obey some given probability distributions,and thresholds of the dynamic event-triggered scheme can be adjusted dynamically via an auxiliary *** attention is concentrated on designing a dynamic event-triggered quadratic nonfragile filter in the well-known minimum-variance *** this end,the original system is first augmented by stacking its state/measurement vectors together with second-order Kronecker powers,thus the original design issue is reformulated as that of the augmented ***,we analyze statistical properties of augmented noises as well as high-order moments of certain random *** the aid of two well-defined matrix difference equations,we not only obtain upper bounds on filtering error covariances,but also minimize those bounds via carefully designing gain ***,an example is presented to explain the effectiveness of this newly established quadratic filtering algorithm.

关键词： filtering quadratic bounds

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