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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Yan, Yiyang Liu, Baihan Zhang, Yifan Liu, Jiaxin Chen, Cai Kang, Yong Chen, Haiyan Jin, Zhaosheng Yang, Lei Huazhong University of Science and Technology School of Electrical and Electronic Engineering Wuhan China Aecc Aero Engine Control System Institute Beijing China Beijing Institute of Precision Mechatronics and Controls Beijing China

ISBN: (纸本)9798350316445

The thermal performance of double-sided cooling (DSC) power module is influenced by different spacer structures. In this paper, thermal performance improvement principles of different kinds of spacer structures are described qualitatively and thermal performance of these structures are analyzed by finite element method (FEM) quantitatively. Both Expanding spacer area and connecting low temperature areas to high-temperature areas by thermal conductor are effective methods to improve overall thermal performance. Structure with spacer under the bare die have the best thermal performance among these structures due to larger heat conduction area. Furtherly, transient dual interface method is utilized to measure the thermal resistance of different structures. The body diode electrical characteristic is chosen as the temperature sensitive electrical parameter. © 2023 IEEE.

关键词： double-sided cooling power module spacer thermal performance

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Review on current development of polybenzimidazole membrane for lithium battery

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Journal of Energy Chemistry 2024年第4期91卷 579-608页

作者： Yonggui Deng Arshad Hussain Waseem Raza Xingke Cai Dongqing Liu Jun Shen College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060GuangdongChina Interdisciplinary Research Center for Hydrogen Technologies and Carbon Management(IRC-HTCM) King Fahd University of Petroleum&MineralsKFUPM Box 504031261 DhahranSaudi Arabia Institute for Advanced Study Shenzhen UniversityShenzhen 518060GuangdongChina

With the rapid development of portable technology,lithium batteries have emerged as potential candidates for high-performance energy storage systems owing to their high energy density and cycling *** the key components of a lithium battery system,the separator plays a critical role as it directly influences the battery performance benchmark(cycling performance and safety).However,traditional polyolefin separators(polypropylene/polyethylene)are unable to meet the demands of highperformance and safer battery systems due to their poor electrolyte compatibility,thermal runaways,and ultimate growth of *** contrast,membranes fabricated using polybenzimidazole(PBI)exhibit excellent electrolyte wettability and outstanding thermal dimensional stability,thus holding great potential as separators for high-performance and high-safety *** this paper,we present a comprehensive review of the general requirements for separators,synthesis technology for separators,and research trends focusing PBI membranes in lithium batteries to alleviate the current commercial challenges faced by conventional polyolefin *** addition,we discuss the future development direction for PBI battery separators by considering various factors such as production cost,ecological footprint,preparation technology,and battery component *** exploring these perspectives,we aim to promote the continued application and exploration of PBI-based materials to advance lithium battery technology.

关键词： Lithium batteries Separators Porous separators Polybenzimidazole Membrane

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KATO: Knowledge Alignment And Transfer for Transistor Sizing Of Different Design and Technology 24

KATO: Knowledge Alignment And Transfer for Transistor Sizing...

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61st ACM/IEEE Design Automation Conference, DAC 2024

作者： Xing, Wei W Fan, Weijian Liu, Zhuohua Yao, Yuan Hu, Yuanqi Eastern Institute of Technology Ningbo China The University of Sheffield United Kingdom College of Mechatronics and Control Engineering Shenzhen University Shenzhen China School of Integrated Circuit Science and Engineering Beihang University Beijing China

ISBN: (纸本)9798400706011

Automatic transistor sizing in circuit design continues to be a formidable challenge. Despite that Bayesian optimization (BO) has achieved significant success, it is circuit-specific, limiting the accumulation and transfer of design knowledge for broader applications. This paper proposes (1) efficient automatic kernel construction, (2) the first transfer learning across different circuits and technology nodes for BO, and (3) a selective transfer learning scheme to ensure only useful knowledge is utilized. These three novel components are integrated into BO with Multi-objective Acquisition Ensemble (MACE) to form Knowledge Alignment and Transfer Optimization (KATO) to deliver state-of-the-art performance: up to 2x simulation reduction and 1.2x design improvement over the baselines. © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

关键词： Transfer learning

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A Stacked SiC Half-Bridge Power Module with Comprehensive Optimization of Parasitic Capacitance and Parasitic Inductance

A Stacked SiC Half-Bridge Power Module with Comprehensive Op...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Zhang, Yifan Xie, Yue Yan, Yiyang Liu, Baihan Zeng, Chenhang Liu, Sijia Liu, Jiaxin Chen, Cai Kang, Yong Yang, Lei Chen, Haiyan Jin, Zhaosheng Huazhong University of Science and Technology School of Electrical and Electronic Engineering Wuhan China Beijing Institute of Precision Mechatronics and Controls Beijing China Aecc Aero Engine Control System Institute Jiangsu China

ISBN: (纸本)9798350316445

This article introduces a 1200V/36A SiC half-bridge power module with ultra-low parasitic capacitance and low inductance, maintaining excellent switching performance and low conducted EMI. According to the comprehensive comparison results of different power module's packaging structures, the structure of multi-stacked DBC module is chosen and improved. The parasitic capacitance of the presented module is reduced to less than 1pF by using the shielding theory. The parasitic loop inductance is reduced to 4.5nH by mutual inductance cancellation principle by optimizing the structure and layout of the power module. Compared with the pre-improved module, the experimental results show that the improved multi-stacked DBC structure greatly reduces the switching time, overvoltage, and the common mode current. © 2023 IEEE.

关键词： EMI packaging structure parasitic capacitance parasitic inductance Power Module switching performance

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Servo system Cascade Linear Active Disturbance Rejection control Based on Motor Models

Servo system Cascade Linear Active Disturbance Rejection Con...

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Industrial Automation, Robotics and control Engineering (IARCE), International Conference on

作者： Yuang He Qijia Zheng Jialun Liu Yan Wang Qian Fan Beijing Institute of Precision Mechatronics and Controls Innovation Center for Control Actuators Beijing China

ISBN: (数字)9798350380323

ISBN: (纸本)9798350380330

The electromechanical servo system is usually implemented by three closed loops, with the inner loop being the current loop, the middle loop being the speed loop, and the outer loop being the position loop. The traditional system tuning method is the PI parameter trial and error method, which cannot achieve the optimal performance of the system. This article innovatively adopts the LADRC three closed-loop cascade control method. Compared with previous control methods, the control method applied in this article can ensure that the current loop, speed loop, and position loop control circuits all meet the requirements of the Bode theorem, which provides a basis for the control objectives. This article provides a detailed description of the selection methods for the control order, observer bandwidth, controller bandwidth, and loop gain of each control loop. This method was validated and ultimately achieved stable control of the electromechanical servo system.

关键词： Robust control Time-frequency analysis Service robots Bandwidth Production Observers Mathematical models Servomotors Time-domain analysis Tuning

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Kinematic Coupling Planning Method for Position and Attitude of Manipulator

Kinematic Coupling Planning Method for Position and Attitude...

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IEEE International Conference on Robotics and Biomimetics

作者： Ting Chen Longfei Jia Xiaobin Hu Yajing Guo Fei Wu Qing Wang Innovation Center for Control Actuators Beijing Institute of Precision Mechatronics and Controls Beijing China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

In this paper, we introduce a novel coupling motion planning method that addresses the end position and orientation of a manipulator. Through the central point mapping algorithm, the distance from the end effector to the central point is proportionally mapped to the end effector's orientation, thereby determining the manipulator's end position and attitude through normalization. This approach enhances the flexibility and precision of multi-degree-of-freedom manipulators by examining the coupling dynamics inherent in their structural design. Specifically, this study delineates two constraint methods: fixed attitude and attitude variation with position. The efficacy of this method is confirmed through simulation experiments. The outcomes demonstrate that, with optimal selection of proportional parameters, the manipulator's joint deflection angles are minimized, and motion control is optimized. Furthermore, the simulations illustrate the motion traj ectory and dynamic behavior of the manipulator's end effector under various parameter settings, offering valuable insights for the manipulator's design and control strategy development.

关键词： Couplings Robot kinematics Dynamics Position measurement End effectors Planning Trajectory Motion control Manipulator dynamics Standards

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A mechatronics-twin Framework based on Stewart Platform for Effective Exploration of Operational Behaviors of Prosthetic Sockets with Amputees

A Mechatronics-twin Framework based on Stewart Platform for ...

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15th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2022

作者： Chen, Dejiu Ram Ottikkutti, Suranjan Nazem Tahmasebi, Kaveh Unit of Mechatronics and Embedded Control Systems KTH Royal Institute of Technology Stockholm10044 Sweden

A Stewart platform is a six-degree-of-freedom parallel manipulator widely used as the motion base for flight simulators, antenna positioning systems, machine tool technology, etc. This work presents a novel mechatronics-twin framework that integrates such a manipulator with advanced biomechanical models and simulations for effective exploration of operational behaviors of prosthetic sockets with amputees. By means of the biomechanical models and simulations, the framework allows the users to first analyze the fundamental operational characteristics of individual amputees according to their specific body geometries, pelvis-femur structures, sizes of transfemoral sockets, etc. Such operational characteristics are then fed to one Stewart platform as the reference control signals for the generation of dynamic loads and behaviors of prosthetic sockets that are otherwise difficult to observe or realize with the real amputees. Experiments in form of integration testing show that the proposed control strategy is capable of generating expected dynamic operational conditions. Currently, the mechatronics-twin framework supports a wide range of biomechanical configurations and the quantification of the respective intra-socket load conditions for socket design optimization and anomaly detection. © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Degrees of freedom (mechanics)

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Machine learning accelerated DFT research on platinum-modified amorphous alloy surface catalysts

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Chinese Chemical Letters 2023年第5期34卷 645-649页

作者： Xi Zhang Kangpu Li Bo Wen Jiang Ma Dongfeng Diao Institute of Nanosurface Science and Engineering Guangdong Provincial Key Laboratory of Micro/NanoShenzhen UniversityShenzhen 518060China College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060China Research Center of Medical Plasma Technology Shenzhen UniversityShenzhen 518060China

Pt-modified amorphous alloy(Pt@PdNiCuP)catalyst exhibits excellent electro-catalytic activity and high experimental durability for hydrogen evolution reaction(HER).However,the physical origin of the catalytically active remains *** this paper,we constructed a distance contribution descriptor(DCD)for the feature engineering of machine learning(ML)potential,and calculated the Gibbs free energies(ΔGH)of 46,000*H binding sites on the Pt@Pd Ni Cu P surface by ML-accelerated density functional theory(DFT).The relationship betweenΔGHand DCD revealed that in the H-Pt distance region of 2.0-2.5 A where the parabolic tail and disordered scatters coexist,the H-metal bonding configuration is mainly the bridge-or hollow-bonding *** contribution analysis of DCD indicates that the joint effect of Pt,Pd and Ni atoms determines the catalytical behavior of amorphous alloy,which agrees well with experimental *** counting atomic percentages in different energy intervals,we obtained the atomic ratio for the best catalytic performance(Pt:Pd:Ni:Cu:P=0.33:0.17:0.155:0.16:0.185).Projected density of states(PDOS)show that H 1s orbital,Pt 5d orbital,and Pd 4d orbital form a bonding state at-2 e *** results provide new ideas for designing more active amorphous alloy catalysts.

关键词： Hydrogen evolution reaction Amorphous alloy Density functional theory Machine learning

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Synchronization of Four Different Chaotic Communication Systems with the Aim of Secure Communication 21st

Synchronization of Four Different Chaotic Communication Syst...

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21st Polish control Conference, PCC 2023

作者： Abadi, Ali Soltani Sharif Hosseinabadi, Pooyan Alinaghi Ordys, Andrew Institute of Automatic Control and Robotics Faculty of Mechatronics Warsaw University of Technology Warsaw Poland School of Engineering and Information Technology The University of New South Wales CanberraACT Australia

ISBN: (纸本)9783031351693

The synchronization of systems with the goal of securing communications is a very interesting and recent topic. This paper proposes the Fast Terminal Sliding Mode control (FTSMC) method to design control inputs for synchronizing four different communication systems, Volta, Coullet, Chen and ***. Synchronization of these systems can be used in a variety of applications. Some of the key features of the proposed designs are that these inputs are robust against the variety of uncertainties of the system model and external disturbances. Also, the finite time stability of these systems is guaranteed by using designed inputs. Additionally, these inputs eliminate destructive and undesirable chattering phenomena thoroughly. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Synchronization

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Online Volt-Var control Based on Reinforcement Learning in Active Distribution Systems Considering PV Inverters 5

Online Volt-Var Control Based on Reinforcement Learning in A...

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5th International Conference on Power and Energy Technology, ICPET 2023

作者： Gu, Changlei Zhang, Xian Wang, Hong Sayed, Ahmed Rabee Wang, Guibin Harbin Institute of Technology School of Mechanical Engineering and Automation Shenzhen China Electric Power Research Institute China Southern Grid Guangzhou China Shenzhen University College of Mechatronics and Control Engineering Shenzhen China

ISBN: (纸本)9798350339673

Due to the wide deployment of photovoltaic (PV) power generation, voltage stability is facing a severe challenge in the active distribution networks (ADNs). Reinforcement Learning (RL) techniques have been widely adopted in the power system optimal operation and quick control with high-performance achievements. Existing RL algorithms can handle only homogenous control action spaces, i.e., either continuous or discrete actions. However, the voltage control problem has hybrid action spaces. This paper proposes a hybrid soft actor-critic (H-SAC) algorithm for online quick-optimal voltage control. First, the problem is formulated to consider all types of control actions, including the setpoints of PV inverters. Second, it is standardized to be compatible with RL techniques. Third, the fundamental sample-efficient entropy-based maximization SAC algorithm is enhanced to train a policy with hybrid action spaces, where an action selection method is employed to map the continuous output of the actor-network into the integer action spaces. The proposed method is applied to the modified IEEE 33-bus system, where the voltage has been controlled with a very low computational burden. © 2023 IEEE.

关键词： active distribution networks hybrid action spaces Reinforcement Learning Soft Actor-Critic voltage control

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