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Thermal runaway evolution of a 280 Ah lithium-ion battery with LiFePO_(4) as the cathode for different heat transfer modes constructed by mechanical abuse

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Journal of Energy Chemistry 2024年第6期93卷 32-45,I0002页

作者： Zhixiang Cheng Chengdong wang Wenxin Mei Peng Qin Junyuan Li qingsong wang State Key Laboratory of Fire Science University of Science and Technology of ChinaHefei 230026AnhuiChina

Lithium iron phosphate batteries have been increasingly utilized in recent years because their higher safety performance can improve the increasing trend of recurring thermal runaway accidents.However,the safety performance and mechanism of high-capacity lithium iron phosphate batteries under internal short-circuit challenges remain to be explored.This work analyzes the thermal runaway evolution of high-capacity LiFePO_(4) batteries under different internal heat transfer modes,which are controlled by different penetration modes.Two penetration cases involving complete penetration and incomplete penetration were detected during the test,and two modes were performed incorporating nails that either remained or were removed after penetration to comprehensively reveal the thermal runaway mechanism.A theoretical model of microcircuits and internal heat conduction is also established.The results indicated three thermal runaway evolution processes for high-capacity batteries,which corresponded to the experimental results of thermal equilibrium,single thermal runaway,and two thermal runaway events.The difference in heat distribution in the three phenomena is determined based on the microstructure and material structure near the pinhole.By controlling the heat dissipation conditions,the time interval between two thermal runaway events can be delayed from 558 to 1417 s,accompanied by a decrease in the concentration of in-situ gas production during the second thermal runaway event.

关键词： Lithium-ion battery safety Micro short-circuit cell Heat transfer modes Internal short circuit Nail-penetration test

Effect of safety valve types on the gas venting behavior and thermal runaway hazard severity of large-format prismatic lithium iron phosphate batteries

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Journal of Energy Chemistry 2024年第2期89卷 195-207,I0006页

作者： Zhuangzhuang Jia Yuanyuan Min Peng Qin Wenxin Mei Xiangdong Meng Kaiqiang Jin Jinhua Sun qingsong wang State Key Laboratory of Fire Science University of Science and Technology of ChinaHefei 230026AnhuiChina Gotion High-Tech Co. Ltd.Hefei 230012AnhuiChina

The safety valve is an important component to ensure the safe operation of lithium-ion batteries(LIBs).However,the effect of safety valve type on the thermal runaway(TR)and gas venting behavior of LIBs,as well as the TR hazard severity of LIBs,are not known.In this paper,the TR and gas venting behavior of three 100 A h lithium iron phosphate(LFP)batteries with different safety valves are investigated under overheating.Compared to previous studies,the main contribution of this work is in studying and evaluating the effect of gas venting behavior and TR hazard severity of LFP batteries with three safety valve types.Two significant results are obtained:(Ⅰ)the safety valve type dominates over gas venting pressure of battery during safety venting,the maximum gas venting pressure of LFP batteries with a round safety valve is 3320 Pa,which is one order of magnitude higher than other batteries with oval or cavity safety valve;(Ⅱ)the LFP battery with oval safety valve has the lowest TR hazard as shown by the TR hazard assessment model based on gray-fuzzy analytic hierarchy process.This study reveals the effect of safety valve type on TR and gas venting,providing a clear direction for the safety valve design.

关键词： Lithium iron phosphate battery Safety valve Thermal runaway Gas venting behavior Thermal runaway hazard severity Gray-fuzzy analytic hierarchy process

Early warning method for thermal runaway of lithium-ion batteries under thermal abuse condition based on online electrochemical impedance monitoring

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Journal of Energy Chemistry 2024年第5期92卷 74-86页

作者： Yuxuan Li Lihua Jiang Ningjie Zhang Zesen Wei Wenxin Mei Qiangling Duan Jinhua Sun qingsong wang State Key Laboratory of Fire Science University of Science and Technology of ChinaAnhui 230026HefeiChin

Early warning of thermal runaway(TR)of lithium-ion batteries(LIBs)is a significant challenge in current application scenarios.Timely and effective TR early warning technology is urgently required considering the current fire safety situation of LIBs.In this work,we report an early warning method of TR with online electrochemical impedance spectroscopy(EIS)monitoring,which overcomes the shortcomings of warning methods based on traditional signals such as temperature,gas,and pressure with obvious delay and high cost.With in-situ data acquisition through accelerating rate calorimeter(ARC)-EIS test,the crucial features of TR were extracted using the RReliefF algorithm.TR mechanisms corresponding to the features at specific frequencies were analyzed.Finally,a three-level warning strategy for single battery,series module,and parallel module was formulated,which can successfully send out an early warning signal ahead of the self-heating temperature of battery under thermal abuse condition.The technology can provide a reliable basis for the timely intervention of battery thermal management and fire protection systems and is expected to be applied to electric vehicles and energy storage devices to realize early warning and improve battery safety.

关键词： Online EIS measurement Lithium-ion batterysafety Multistage thermal runaway early warning Sensitivityanalysis

Assessing environmental impact:Micro-energy network optimization in a Chinese industrial park

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Chinese Journal of Population,Resources and Environment 2024年第1期22卷 68-73页

作者： Guanzhun Cao Chuan Feng Tong Li Hongjuan Zhang Xiaoyao Guo Wen Li Yanshuang Jia Leping Chen Yuan Xu qingsong wang Guifang Chen Xueliang Yuan China Tobacco Shandong Industrial Co. Ltd.Jinan 250104China Shandong Academy of Environmental Sciences Jinan 250109China Shandong Electrical Engineering&Equipment Group Co. Ltd.Jinan 250001China School of Energy and Power Engineering Shandong UniversityJinan 250061China

Micro-energy systems contribute significantly to environmental improvement by reducing dependence on power grids through the utilization of multiple renewable energy sources.This study quantified the environmental impact of a micro-energy network system in an industrial park through a life cycle assessment using the operation of the micro-energy network over a year as the functional unit and“cradle-to-gate”as the system boundary.Based on the baseline scenario,a natural gas generator set was added to replace central heating,and the light pipes were expanded to constitute the optimized scenario.The results showed that the key impact categories for both scenarios were global warming,fine particulate matter formation,human carcinogenic toxicity,and human non-carcinogenic toxicity.The overall environmental impact of the optimized scenario was reduced by 68%compared to the baseline scenario.A sensitivity analysis of the key factors showed that electricity from the power grid was the key impact factor in both scenarios,followed by central heating and natural gas.Therefore,to reduce the environmental impact of network systems,it is necessary to further optimize the grid power structure.The research approach can be used to optimize micro-energy networks and evaluate the environmental impact of different energy systems.

关键词： Micro-energy network Life cycle assessment Optimal operation Environmental impact

Design of an automated robotic microinjection system for batch injection of zebrafish embryos and larvae

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Microsystems & Nanoengineering 2024年第1期10卷 89-103页

作者： Zhongyi Guo Nana Ai Wei Ge qingsong Xu Department of Electromechanical Engineering Faculty of Science and TechnologyUniversity of MacaoMacaoChina Department of Biomedical Sciences and Centre of Reproduction Development and Aging(CRDA)Faculty of Health SciencesUniversity of MacaoMacaoChina

This paper presents the design of a vision-based automated robotic microinjection system for batch injection of both zebrafish embryos and larvae.A novel visual recognition algorithm based on an automatic threshold and excessive dilatation is introduced to accurately identify the center of zebrafish embryos and larval yolks.A corresponding software system is developed using the producer-consumer model as the framework structure,and a friendly user interface is designed to allow operators to choose from a range of desired functions according to their different needs.In addition,a novel microstructural agarose device is designed and fabricated to simultaneously immobilize mixed batches of embryos and larvae.Moreover,a prototype microinjection system is fabricated by integrating hardware devices with visual algorithms.An experimental study is conducted to verify the performance of the robotic microinjection system.The results show that the reported system can accurately identify zebrafish embryos and larvae and efficiently complete batch microinjection tasks of the mixtures with an injection success rate of 92.05%in 13.88 s per sample.Compared with manual and existing microinjection systems,the proposed system demonstrates the merits of versatility,excellent efficiency,high success rate,high survival rate,and sufficient stability.

关键词： zebra automated hardware

CD36 promotes tubular ferroptosis by regulating the ubiquitination of FSP1 in acute kidney injury

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Genes & Diseases 2024年第1期11卷 449-463页

作者： Yixin Ma Lili Huang Zheng Zhang Pengfei Yang qingsong Chen Xujia Zeng Fangyan Tan Chunxia wang Xiongzhong Ruan Xiaohui Liao Department of Nephrology The Second Affiliated HospitalChongqing Medical UniversityChongqing 400010China Department of Cell Biology and Genetics Chongqing Medical UniversityChongqing 400016China Centre for Nephrology Royal Free and University College Medical SchoolUniversity College LondonRoyal Free CampusRowland Hill StreetLondon NW32PFUnited Kingdom Centre for Lipid Research Key Laboratory of Molecular Biology on Infectious DiseasesMinistry of EducationChongqing Medical UniversityChongqing 400016China Kuanren Laboratory of Translational Lipidology Centre for Lipid ResearchSecond Affiliated Hospital of Chongqing Medical UniversityChongqing 400010China

Reactive oxidative species(ROos)production-driven ferroptosis plays a role in acute kidney injury(Akl).However,its exact molecular mechanism is poorly understood.Scavenger receptor CD36 has important roles in oxidizing lipids,lipid accumulation,metabolic syndrome,and insulin resistance in chronic kidney disease,but its roles remain unexplored in AKl.The present study investigated the role and mechanism of CD36 in regulating proximal tubular cell ferroptosis and AKl.The expression of CD36 was found to be significantly up-regulated in AKI renal tissues and correlated with renal function,which might serve as an independent biomarker for AKl patients.Moreover,in adult mice subjected to AKl,deletion of CD36(CD36-/-)induced tubular cell Ros accumulation,ferroptosis activation,and renal injury.Mechanistically,combining LC-MS/MS,co-IP,and ubiquitination analyses revealed that CD36 could specifically bind to ferroptosis suppressor protein 1(FSP1)and regulate its ubiquitination at sites K16 and K24,leading to FSP1 degradation and progression of ferroptosis in AKl.The present results emphasize a novel mechanism of CD36 in cisplatin-induced AKl.The discovery of the special CD36 roles in promoting ferroptosis and AKI development by regulating the ubiquitination of FSP1 in proximal tubular cells may be potential therapeutic targets for AKl.Moreover,CD36 may play a key role in the progression of AKl.Therefore,targeting CD36 may provide a promising treatment option for AKI.

关键词： Acute kidney injury CD36 Ferroptosis FSP1 Ubiquitin-dependent degradation

Constrained nonlinear MPC for accelerated tracking piece-wise references and its applications to thermal systems

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Control Theory and Technology 2022年第1期20卷 69-79页

作者： Defeng He qingsong wang Ping Han Haiping Du College of Information Engineering Zhejiang University of TechnologyHangzhou310023ZhejiangChina School of Electrical Computer and Telecommunications EngineeringUniversity of WollongongWollongongNSW2522Australia

In this paper,we propose a model predictive control(MPC)strategy for accelerated offset-free tracking piece-wise constant reference signals of nonlinear systems subject to state and control constraints.Some special contractive constraints on tracking errors and terminal constraints are embedded into the tracking nonlinear MPC formulation.Then,recursive feasibility and closed-loop convergence of the tracking MPC are guaranteed in the presence of piece-wise references and constraints by deriving some sufficient conditions.Moreover,the local optimality of the tracking MPC is achieved for unreachable output reference signals.By comparing to traditional tracking MPC,the simulation experiment of a thermal system is used to demonstrate the acceleration ability and the effectiveness of the tracking MPC scheme proposed here.

关键词： Model predictive control Nonlinear systems Constrained control Tracking control Thermal systems

Security and Privacy in Solar Insecticidal Lamps Internet of Things:Requirements and Challenges

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 58-73页

作者： qingsong Zhao Lei Shu Kailiang Li Mohamed Amine Ferrag Ximeng Liu Yanbin Li the College of Artificial Intelligence Nanjing Agricultural UniversityNanjing 210031 the State Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210023 the State Key Laboratory of Cryptology Beijing 100878China IEEE the School of Engineering University of LincolnLincoln LN67TSUK the Artificial Intelligence and Digital Science Research Center Technology Innovation InstituteMasdar City 9639UAE the College of Computer and Data Science Fuzhou UniversityFuzhou 350108China

Solar insecticidal lamps(SIL) can effectively control pests and reduce the use of pesticides. Combining SIL and Internet of Things(IoT) has formed a new type of agricultural IoT,known as SIL-IoT, which can improve the effectiveness of migratory phototropic pest control. However, since the SIL is connected to the Internet, it is vulnerable to various security issues.These issues can lead to serious consequences, such as tampering with the parameters of SIL, illegally starting and stopping SIL,etc. In this paper, we describe the overall security requirements of SIL-IoT and present an extensive survey of security and privacy solutions for SIL-IoT. We investigate the background and logical architecture of SIL-IoT, discuss SIL-IoT security scenarios, and analyze potential attacks. Starting from the security requirements of SIL-IoT we divide them into six categories, namely privacy, authentication, confidentiality, access control, availability,and integrity. Next, we describe the SIL-IoT privacy and security solutions, as well as the blockchain-based solutions. Based on the current survey, we finally discuss the challenges and future research directions of SIL-IoT.

关键词： Challenges Internet of Things(IoT) privacy and security security requirements solar insecticidal lamps(SIL)

Deep learning for cross-region streamflow and flood forecasting at a global scale

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The Innovation 2024年第3期5卷 99-109页

作者： Binlan Zhang Chaojun Ouyang Peng Cui qingsong Xu Dongpo wang Fei Zhang Zhong Li Linfeng Fan Marco Lovati Yanling Liu Qianqian Zhang State Key Laboratory of Mountain Hazards and Engineering Resilience Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610299China State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of TechnologyChengdu 610059China Data Science in Earth Observation Technical University of Munich80333 MunichGermany State Key Laboratory of Loess and Quaternary Geology Institute of Earth EnvironmentChinese Academy of SciencesXi’an 710061China Department of Civil Engineering McMaster UniversityHamiltonON L8S 4L8Canada Chengdu University of Information Technology Chengdu 610225China

Streamflow and flood forecasting remains one of the long-standing challenges in hydrology.Traditional physically based models are hampered by sparse parameters and complex calibration procedures particularly in ungauged catchments.We propose a novel hybrid deep learning model termed encoder-decoder double-layer long short-term memory(ED-DLSTM)to address streamflow forecasting at global scale for all(gauged and ungauged)catchments.Using historical datasets,ED-DLSTM yields a mean Nash-Sutcliffe efficiency coefficient(NSE)of 0.75 across more than 2,000 catchments from the United States,Canada,Central Europe,and the United Kingdom,highlighting improvements by the state-of-the-art machine learning over traditional hydrologic models.Moreover,ED-DLSTM is applied to 160 ungauged catchments in Chile and 76.9%of catchments obtain NSE>0 in the best situation.The interpretability of cross-region capacities of ED-DLSTM are established through the cell state induced by adding a spatial attribute encoding module,which can spontaneously form hydrological regionalization effects after performing spatial coding for different catchments.The study demonstrates the potential of deep leaning methods to overcome the ubiquitous lack of hydrologic information and deficiencies in physical model structure and parameterization.

关键词： forecasting flood flow