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Enhancing Structural Stability and Electrochemical Performance of Ultra-high Ni-rich Co-free Cathode via MgHPO_(4) Dual-functional Modification

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Chemical Research in Chinese Universities 2025年第2期41卷 333-342页

作者： LIN Huahui SHEN Yu WEI Li SONG Ran WU Fan WEI Peng YANG Zhenzhong REN Yurong QU Ke DING Zhengping Changzhou Key Laboratory of Intelligent Manufacturing and Advanced Technology for Power Battery Jiangsu Province Engineering Research Center of Intelligent Manufacturing Technology for the New Energy Vehicle Power BatterySchool of Materials Science and EngineeringChangzhou UniversityChangzhou 213164P.R.China Key Laboratory of Polar Materials and Devices(MOE) Shanghai Center of Brain-inspired Intelligent Materials and DevicesDepartment of ElectronicsEast China Normal UniversityShanghai 200241P.R.China

Ultra-high nickel layered cathodes(Ni≥95%)have emerged as prospective candidates for next-generation lithium-ion batteries(LIBs)due to their exceptional specific capacity and ***,the commercial application of these cathodes has been hindered by several challenges,including structural instability during cycling,high sensitivity to air,and slow Li+*** this research,a one-step modification strategy was developed to simultaneously achieve Mg doping and Li_(3)PO_(4)layer coating for the ultra-high nickel *** results demonstrated that Mg doping not only alleviates lattice strain changes during the H2–H3 phase transition(H2:the second hexagonal phase;H3:the third hexagonal phase)but also serves as a structural anchor,preventing Ni^(2+)migration and occupation within the Li *** Li_(3)PO_(4)surface coating layer acts as an electrochemical shield,protecting against interfacial side reactions and enhancing the Li+diffusion *** a result,the LiNi_(0.95)Mn_(0.05)O_(2) cathode,with both internal and external modifications,demonstrates significant improvement in cycling stability(85.7%capacity retention after 100 cycles)and Li^(+)transport performance(130.6 mA·h·g^(−1) at 10 C,1 C=189.6 mA·h·g^(−1)),providing a solid foundation for the further development and application of ultra-high nickel cathodes.

关键词： Lithium-ion battery Ni-rich Co-free cathode MgHPO_(4) Surface modification

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Neural-based prescribed-time consensus control for multiagent systems via dynamic memory event-triggered mechanism

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Science China(Technological Sciences) 2025年第3期68卷 217-227页

作者： Xiaohong ZHENG Hui MA Qi ZHOU Hongyi LI School of Automation Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Controland Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative ControlGuangdong University of TechnologyGuangzhou510006China School of Mathematics and Statistics Guangdong University of TechnologyGuangzhou510006China College of Electronic and Information Engineering and the Chongqing Key Laboratory of Generic Technology and System of Service Robots Southwest UniversityChongqing400715China

This work investigates the implementation of distributed prescribed-time neural network(NN)control for nonlinear multiagent systems(MASs)using a dynamic memory event-triggered mechanism(DMETM).First,it introduces a composite learning technique in NN *** method leverages the prediction error within the NN update law to enhance the accuracy of the unknown nonlinearity ***,by introducing a time-varying transformation,the study establishes a distributed prescribed-time control *** notable feature of this algorithm is its ability to predetermine the convergence time independently of initial conditions or control ***,the DMETM is established to reduce the actuation frequency of the *** the conventional memoryless dynamic event-triggered mechanism,the DMETM incorporates a memory term to further increase triggering *** a distributed estimator for the leader,the DMETM-based NN prescribed-time controller is designed in a fully distributed manner,which guarantees that all signals in the closed-loop system remain bounded within the prescribed ***,simulation results are presented to validate the effectiveness of the proposed algorithm.

关键词： consensus control composite learning control dynamic memory event-triggered control prescribed-time control multiagent systems(MASs)

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Integrated Cross-Scale Manipulation and Modulable Encapsulation of Cell-Laden Hydrogel for Constructing Tissue-Mimicking Microstructures

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Research 2025年第1期2024卷 704-717页

作者： Yanfeng Zhao Xinyi Dong Yang Li Juan Cui Qing Shi Hen-Wei Huang Qiang Huang Huaping Wang Intelligent Robotics Institute School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing 100081China Peking University First Hospital Xicheng DistrictBeijing 100034China Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry of EducationNorth University of ChinaTaiyuan 030051China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of TechnologyBeijing 100081China Laboratory for Translational Engineering Harvard Medical SchoolCambridgeMA 02139USA Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology) Ministry of EducationBeijing 100081China

Engineered microstructures that mimic in vivo tissues have demonstrated great potential for applications in regenerative medicine,drug screening,and cell behavior ***,current methods for engineering microstructures that mimic the multi-extracellular matrix and multicellular features of natural tissues to realize tissue-mimicking microstructures in vitro remain ***,we propose a versatile method for constructing tissue-mimicking heterogeneous microstructures by orderly integration of macroscopic hydrogel exchange,microscopic cell manipulation,and encapsulation ***,various cell-laden hydrogel droplets are manipulated at the millimeter scale using electrowetting on dielectric to achieve efficient hydrogel ***,the cells are manipulated at the micrometer scale using dielectrophoresis to adjust their density and arrangement within the hydrogel ***,the photopolymerization of these hydrogel droplets is triggered in designated regions by dynamically modulating the shape and position of the excitation ultraviolet ***,heterogeneous microstructures with different extracellular matrix geometries and components were constructed,including specific cell densities and *** resulting heterogeneous microstructure supported long-term culture of hepatocytes and fibroblasts with high cell viability(over 90%).Moreover,the density and distribution of the 2 cell types had significant effects on the cell proliferation and urea *** propose that our method can lead to the construction of additional biomimetic heterogeneous microstructures with unprecedented potential for use in future tissue engineering applications.

关键词： cell behavior explorationhowevercurrent tissue mimicking microstructures cell laden hydrogel electrowetting dielectric regenerative medicinedrug screeningand heterogeneous microstructures engineered microstructures orderly integration

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Identification of Non-Restorative Sleep Associated with Depression Using Ambulatory Electrocardiogram and Triaxial Acceleration

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IEEE Transactions on Biomedical Engineering 2025年第6期72卷 1909-1919页

作者： Liu, Li Wang, Chongyang Liu, Guangyuan Wen, Wanhui Southwest University Chongqing Key Laboratory of Generic Technology and System of Service Robots Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Chongqing400715 China Sichuan University Key Laboratory of Rehabilitation Medicine in Sichuan Province Department of Rehabilitation Medicine Institute of Rehabilitation Medicine West China Hospital Chengdu610041 China

Objective: Non-restorative sleep is prevalent among individuals with depression and is strongly associated with the severity of the condition. Therefore, identifying non-restorative sleep can aid in the early screening of depression. Investigating non-restorative sleep in depression necessitates long-term monitoring under naturalistic conditions. Methods: In this study, we recruited 149 participants and collected electrocardiogram and triaxial acceleration from them, resulting in a total of 761 nights of data. The period from midnight to 6:30 AM was segmented into 78 five-minute intervals, from which 40 physiological features were extracted for each interval. To deal with variations in sleep patterns across participants and dates, we reordered the sleep data based on levels of parasympathetic nervous system (PNS) activation to explore the underlying neural mechanisms of non-restorative sleep in individuals with depressive symptoms. Results: We developed a model that integrated convolutional neural networks with an attention mechanism to identify nonrestorative sleep in individuals with depressive symptoms. The model demonstrated impressive performance on an independent test set, achieving an accuracy of 81.25% and an F1 score of 77.85%. Additionally, Bayes' theorem was used to compute the posterior probability indicating nonrestorative sleep in this population, assessing abnormal PNS activation. Conclusion: Finally, we designed a system capable of automatically evaluating nighttime sleep status and quantifying changes in non-restorative sleep associated with depression. Significance: This system offers a novel tool and method for the early identification of individuals at risk of depression. © 1964-2012 IEEE.

关键词： Sleep research

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Suppressing high voltage chemo-mechanical degradation in single crystal nickel-rich cathodes for high-performance all-solid-state lithium batteries

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Journal of Energy Chemistry 2025年第3期102卷 377-385页

作者： Yirong Xiao Le Yang Chaoyuan Zeng Ze Hua Shuangquan Qu Niaz Ahmad Ruiwen Shao Wen Yang Key Laboratory of Cluster Science of Ministry of Education Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion MaterialsSchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing 100081China Beijing Advanced Innovation Center for Intelligent Robots and Systems School of Medical TechnologyBeijing Institute of TechnologyBeijing 100081China School of Chemistry and Chemical Engineering Key Laboratory of Ministry of Education for Advanced Materials in Tropical Island ResourcesCollaborative Innovation Center of Ecological CivilizationHainan UniversityHaikou 570228HainanChina

Sulfide-based all-solid-state lithium batteries suffer from electrochemo-mechanical damage to Ni-rich oxide-based cathode active materials(CAMs),primarily caused by severe volume changes,results in significant stress and strain,causes micro-cracks and interfacial contact loss at potentials>4.3 V(***/Li^(+)).Quantifying micro-cracks and voids in CAMs can reveal the degradation mechanisms of Ni-rich oxidebased cathodes during electrochemical ***,the origin of electrochemical-mechanical damage remains ***,We have developed a multifunctional PEG-based soft buffer layer(SBL)on the surface of carbon black(CB).This layer functions as a percolation network in the single crystal LiNi_(0.83)Co_(0.07)Mn_(0.1)O_(2)and Li_(6)PS_(5)Cl composite cathode layer,ensuring superior ionic conductivity,reducing void formation and particle cracking,and promoting uniform utilization of the cathode active material in all-solid-state lithium batteries(ASSLBs).High-angle annular dark-field STEM combined with nanoscale X-ray holo-tomography and plasma-focused ion beam scanning electron microscopy confirmed that the PEG-based SBL mitigated strain induced by reaction heterogeneity in the *** strain produces lattice stretches,distortions,and curved transition metal oxide layers near the surface,contributing to structural degradation at elevated ***,ASSLBs with a LiNi_(0.83)Co_(0.07)Mn_(0.1)O_(2)cathode containing LCCB-10(CB/PEG mass ratio:100/10)demonstrate a high areal capacity(2.53 mAh g^(-1)/0.32 mA g^(-1))and remarkable rate capability(0.58 mAh g^(-1)at 1.4 mA g^(-1)),with88%capacity retention over 1000 cycles.

关键词： Single crystal nickel-rich oxide cathode Lattice stretches and distortions Reaction heterogeneity Percolation network All-solid-state lithium batteries

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A Three-Step Optimization Framework With Hybrid Models for a Humanoid Robot’s Jump Motion

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IEEE Transactions on Automation Science and Engineering 2025年 22卷 14120-14132页

作者： Qi, Haoxiang Yu, Zhangguo Chen, Xuechao Li, Qingqing Liu, Yaliang Yi, Chuanku Dong, Chencheng Meng, Fei Huang, Qiang Beijing Institute of Technology Intelligent Robotics Institute School of Mechatronical Engineering Beijing100081 China International Joint Research Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing100081 China National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing100081 China Qiyuan Laboratory Beijing100029 China

High dynamic jump motions are challenging tasks for humanoid robots to achieve environment adaptation and obstacle crossing. The trajectory optimization is a practical method to achieve high-dynamic and explosive jumping. This paper proposes a 3-step trajectory optimization framework for generating a jump motion for a humanoid robot. To improve iteration speed and achieve ideal performance, the framework comprises three sub-optimizations. The first optimization incorporates momentum, inertia, and center of pressure (CoP), treating the robot as a static reaction momentum pendulum (SRMP) model to generate corresponding trajectories. The second optimization maps these trajectories to joint space using effective Quadratic Programming (QP) solvers. Finally, the third optimization generates whole-body joint trajectories utilizing trajectories generated by previous parts. With the combined consideration of momentum and inertia, the robot achieves agile forward jump motions. A simulation and experiments of forward jump with a distance of 1.0 m and 0.5 m height are presented in this paper, validating the applicability of the proposed framework. © 2004-2012 IEEE.

关键词： Anthropomorphic robots

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Sensorless Force Observer and Impedance Control for Physical Human-Robot Interaction 14th

Sensorless Force Observer and Impedance Control for Physical...

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14th International Workshop of Advanced Manufacturing and Automation, IWAMA 2024

作者： Chao, Tan Huan, Zhao Yuan, Chao Li, Ding Wentao, Shan Guohong, Dai Han, Ding School of Mechanical Engineering Jiangsu University of Technology ChangZhou China State Key Laboratory of Intelligent Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9789819626243

This paper presents a model-based scheme for controlling an industrial robot without using any external sensors for physical human-robot interaction. The scheme consists of two major modules: force observation and compliance control. First, an accurate dynamic model involving the friction and rotor inertia of the robot is constructed and identified. Then, a novel generalized momentum combining the second-order moments and rotor inertias is developed. This generalized momentum contributes to estimating the external force without information on the joint acceleration, where the external force is transformed into the joint space under Jacobian operators. Finally, independent position-based impedance control is adopted to implement the physical interaction. Compared with the traditional force estimation methods, the presented scheme only requires joint angles and joint torques, which makes it more accurate in force estimation, more stable and universal for commercial robots. Simulations and experiments on the ROKAE XB4 platform validate the effectiveness of the proposed scheme. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Human robot interaction

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Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu Delong Jiang Jiayang Hou Ying Liang Zhongyue Zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an 710049ShaanxiChina Shaanxi Key Laboratory of Intelligent Robots School of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049ShaanxiChina Department of Electrical Engineering and Automation Luoyang Institute of Science and TechnologyLuoyang 471023HenanChina School of Mechanical Engineering Hangzhou Dianzi UniversityHangzhou 310018ZhejiangChina

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

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High-performance ratiometric luminescence thermometry based on NaYF4:Nd3+-Yb3+/NaYF4/NaYF4:Er3+-Yb3+ core/shell/shell nanoparticles

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Ceramics International 2025年第14期51卷 19623-19632页

作者： Shang, Fengkai Zhao, Cuijian Zhang, Tianheng Liu, Shujie Guo, Peng Wang, Yi Chen, Xin Yan, Changyu Hao, Xiaoting Xu, Wei Key Laboratory of Intelligent Perception for Agricultural Robots School of Mechanical and Electrical Engineering Shijiazhuang University Shijiazhuang050035 China School of Electrical Engineering Yanshan University Qinhuangdao066004 China Hebei Newway Electronic Technology Co. LTD Shijiazhuang050200 China

Luminescence thermometry, utilising light-emitting nanomaterials, plays a pivotal role in diverse applications. The methodology outlined in this work represents a important advancement in the design of high-performance ratiometric of novel photophysical mechanisms. In this study, a series of nanoparticles with varied structures, activated by Nd3+-Yb3+ and Er3+-Yb3+ systems, were synthesised, and the temperature dependence of their photoluminescence properties was systematically analysed. The findings reveal that, in addition to thermally enhanced energy transfer from Yb3+ to Nd3+, Nd3+ ions exhibit thermally reinforced absorption of red light emitted by Er³⁺, facilitated by phonons in NaYF4:Nd3+-Yb3+/NaYF4/NaYF4:Er3+-Yb3+ core/shell/shell nanoparticles. Consequently, the near-infrared and red emissions from Nd3+ and Er3+ ions demonstrate inverse thermal responses, enabling ratiometric thermometry. By exploiting this property, a high thermal sensitivity of up to 4.3 % K⁻1 was achieved, along with a low measurement uncertainty of approximately 0.1 K. Furthermore, the spatially separated architecture effectively inhibits energy transfer between Nd3+ and Er3+ ions, significantly enhancing their luminescence and thermometric performance. The methodology outlined in this work represents a significant advancement in the design of high-performance ratiometric luminescence thermal sensors. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Ytterbium compounds

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Effect of Al on the sealing performance of Al-Al2O3 composite materials for intermediate temperature planar SOFC application

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Ceramics International 2025年第14期51卷 19524-19534页

作者： Zhao, Xuepeng Wang, Xiaochun Wu, Biao Dang, Siyuan Li, Li Wang, Wei Gu, Yinwen Pu, Jian School of Automobile and Traffic Engineering Jiangsu University of Technology Jiangsu Changzhou213001 China Center for Fuel Cell Innovation School of Materials Science and Engineering State Key Laboratory of Material Processing and Die & Mould Technology Huazhong University of Science & Technology Hubei Wuhan430074 China Jiangsu Jingci Intelligent Sensing Technology Research Insitute Co. LTD Jiangsu Changzhou213001 China

To satisfy the requirements of planar solid oxide fuel cell (SOFC) in reliable gas tightness for the separation of fuel and oxidant, Al-Al2O3 composite seals with various Al amounts of 10–30 wt% are fabricated in this work and afterwards, effect of Al on their thermal expansion behavior and gas leakage rate are investigated at different temperatures. It is demonstrated that the presented Al-Al2O3 composite seal containing 15 wt% Al (denoted as A15) exhibits a low gas leakage rate of 0.021 sccm cm−1 under input gas pressure of 20.7 kPa between 650 °C and 800 °C. Further studies show that stable leakage rates can be maintained below 0.027 sccm cm−1 after enduring 10 thermal cycles or holding for 100 h test at 750 °C, revealing that a small amount of Al addition could significantly improve the sealing performance and thermal cycle stability of Al-Al2O3 composite seal. XRD and SEM results suggest that A15 has excellent structural stability and interfacial chemical compatibility, which can be attributed to the continuous oxidation of Al powders blocking the leakage paths and the formation of the well bonding interface between interconnect/seal/cell anode. It is also found that the open circuit voltage (OCV) of 1-cell stack is 1.13 V at 750 °C for 100 h and undetectable voltage degradation are observed which means the A15 composite seal has excellent gas tightness for 1-cell stack. The experimental results confirm the promising potential of Al-Al2O3 composite seal in SOFC application, which provides a new direction for the development of high performance seal material in the future. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Aluminum oxide

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