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Rare Metals 2021年第1期40卷 78-83页

作者： Jian-Hua Wang Yu Wang Yu-Zhong Guo Chang-Wei Liu Lu-Lu Dan Research Center for Analysis and Measure Kunming University of Science and TechnologyKunming 650093China School of Material Science and Engineering Kunming University of Science and TechnologyKunming 650093China

Aluminum phosphate(AlPO_(4))was used to modify the surface of LiNi_(1/3)Co_(1/3)Mn_(1/3)O_(2)(NCM)cathode *** surface structure and electrochemical properties of the coated materials were investigated by X-ray photoelectron spectroscopy(XPS)and electrochemical impedance spectroscopy(EIS).The results confirm the formation of aluminum-containing solid solution on the surface of NCM *** aluminum phosphate coating blocks the Li+insertion-extraction process in cells charged at high rates at room temperature,increasing surface film resistance and decreasing discharge ***,an aluminum phosphate aids the formation of a stable solid electrolyte interface film on NCM surface and stabilizes the Rct of cell as samples electrochemically cycled at 55℃.The electrochemical studies suggest that the initial columbic efficiency is significantly *** NCM sample coated with 1.0 wt%AlPO_(4) delivers a higher discharge capacity and shows excellent capacity retention ability.

关键词： Surface lithium battery Electrochemical

Metastable amorphous chromium-vanadium oxide nanoparticles with superior performance as a new lithium battery cathode

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Nano Research 2014年第11期7卷 1604-1612页

作者： Jinzhi Sheng Qidong Li Qiulong Wei Pengfei Zhang Qinqin Wang Fan Lv Qinyou An Wei Chen Liqiang Mai State Key Laboratory of Advanced Technology for Materials Synthesis and Processing WUT-Harvard Joint Nano Key LaboratoryWuhan University of Technology Wuhan 430070 China

The main drawbacks of vanadium oxide as a cathode material are its low conductivity, low practical capacity and poor cycling stability. Adding Cr can improve its conductivity and a metastable amorphous state may provide higher capacity and stability. In this work, metastable amorphous Cr-V-O nano- particles have been successfully prepared through a facile co-precipitation reaction followed by annealing treatment. As a cathode material for lithium batteries, the metastable amorphous Cr-V-O nanoparticles exhibit high capacity （260 mAh/g at 100 mA/g between 1.5-4 V）, low capacity loss （more than 80% was retained after 200 cycles at 100 mA/g） and high rate capability （up to 3 A/g）.

关键词： Cr2V4O13 nanoparticles metastable amorphous structure lithium battery

Novel Nanosized Adsorbing Composite Cathode Materials for the Next Generational lithium battery

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Journal of Wuhan University of Technology(Materials Science) 2007年第2期22卷 234-239页

作者：张勇 School of Material and Chemical Engineering Zhengzhou University of Light Industry

A novel carbon-sulfur nano-composite material was synthesized by heating sublimed sulfur and high surface area activated carbon （HSAAC） under certain conditions. The physical and chemical per- formances of the novel carbon-sulfur nano-composite were characterized by scanning electron microscopy （SEM）, Brunauer-Emmett-Teller （BET） and X-ray diffraction （XRD）. The electrochemical performances of nano-composite were characterized by charge-discharge characteristic, cyclic voltammetry and electrochemical impendence spectroscopy （EIS）. The experimental results indicate that the electrochemical capability of nano- composite material was superior to that of traditional S-containing composite material. The cathode made by carbon-sulfur nano-composite material shows a good cycle ability and a high specific charge-discharge capacity. The HSAAC shows a vital role in adsorbing sublimed sulfur and the polysulfides within the cathode and is an excellent electric conductor for a sulfur cathode and prevents the shuttle behavior of the lithium-sulfur battery.

关键词： high surface area activated carbon sublimed sulfur lithium battery composite material: adsorbing composite

Strategies to Solve lithium battery Thermal Runaway:From Mechanism to Modification

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Electrochemical Energy Reviews 2021年第4期4卷 633-679页

作者： Lingchen Kong Yu Li Wei Feng School of Materials Science and Engineering Tianjin UniversityTianjin 300354China Key Laboratory of Advanced Ceramics and Machining Technology Ministry of EducationTianjin 300354China Key Laboratory of Materials Processing and Mold Ministry of EducationZhengzhou UniversityZhengzhou 450002HenanChina

As the global energy policy gradually shifts from fossil energy to renewable energy,lithium batteries,as important energy storage devices,have a great advantage over other batteries and have attracted widespread *** the increasing energy density of lithium batteries,promotion of their safety is *** runaway is an inevitable safety problem in lithium battery ***,paying attention to the thermal hazards of lithium battery materials and taking corresponding preventive measures are of great *** this review,the heat source and thermal hazards of lithium batteries are discussed with an emphasis on the designs,modifications,and improvements to suppress thermal runaway based on the inherent structure of lithium *** to the source of battery heat,we divide it into reversible heat and irreversible ***,superfluous heat generation has profound effects,including thermal runaway,capacity loss,and electrical ***,we emphatically discuss the design and modification strategies for various battery components(anodes,cathodes,electrolytes,and separators)to suppress thermal *** of solid electrolyte interphase layers with excellent thermal stability and mechanical properties is the core of the modification strategy for anode ***,stable coatings,elemental substitution,and thermally responsive coating materials are commonly used to improve the safety of *** electrolyte additives,solid-state electrolytes,and thermally stable separators provide a good opportunity to solve the thermal runaway problem of next-generation high-performance electrochemical storage devices.

关键词： lithium battery Thermal runaway battery safety Electrode materials battery components

Kalman Filter Estimation of lithium battery SOC Based on Model Capacity Updating

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Energy Engineering 2022年第2期119卷 739-754页

作者： Min Deng Quan Min Ge Yang Man Yu CCCC Second Highway Consultants Co. Ltd.Wuhan430056China Xi’an Aeronautical University Xi’an710077China Key Laboratory of Automobile Transportation Safety Guarantee Technology and Transportation Industry Xi’an710064China

High-precision estimation of lithium battery SOC can effectively optimize vehicle energy management,improve lithium battery safety protection,extend lithium battery cycle life,and reduce new energy vehicle *** on the forgetting factor recursive least square method(FFRLS),Thevenin equivalent circuit model and Singular Value Decomposition-Unscented Kalman Filter(SVD-UKF),the SVD-UKF combined lithium battery SOC estimation algorithm with model capacity update is proposed,aiming at further improving the SOC estimation accuracy of lithium *** parameter identification of Thevenin model is studied by using the forgetting factor recursive least square *** overcoming the shortcomings of Kalman filter linearization error and non-positive definite covariance matrix,the singular value decomposition unscented Kalman filter algorithm is *** is worth mentioning that in order to consider the impact of battery available capacity attenuation on the estimation of lithium battery SOC,the model capacity update algorithm is used to optimize the model parameters and state joint estimation algorithm based on FFRLS&*** by simulation and lithium battery test,the results show that the SVD-UKF algorithm based on model capacity update can accurately estimate the SOC of lithium battery in real time with the available capacity of lithium battery continuous *** purpose of improving the accuracy of SOC estimation of lithium batteries is achieved.

关键词： lithium battery state of charge forgetting factor singular value decomposition unscented Kalman filter

An Indirect Prediction Method of Remaining Life Based on Glowworm Swarm Optimization and Extreme Learning Machine for lithium battery 36

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An Indirect Prediction Method of Remaining Life Based on Glo...

lithium battery digital twin model with incremental learning

第36届中国控制会议

作者： Jingrui Wu Jinxue Xu Xiaoling Huang Dalian Maritime University

ISBN: (纸本)9781538629185

Aiming at the problem that the capacity of lithium battery is difficult to monitor on-line,an indirect health factor method based on time interval to equal discharging voltage difference is *** correlation coefficient analysis method is used to prove strong correlation between actual capacity and time interval to equal discharging voltage *** swarm optimization algorithm is employed to optimize extreme learning machine,meanwhile a model based on glowworm swarm optimization and extreme learning machine is built in order to realize the indirect prediction of remaining useful life for lithium *** set of NASA B5 lithium battery is taken as a research object to evaluate the remaining useful *** results show that the algorithm can inherit the advantage of fast learning speed of extreme learning machine,and be of better accuracy and stability compared with extreme learning machine.

关键词： lithium battery remaining life prediction indirect health factor extreme learning machine glowworm swarm optimization

来源： cnki会议评论

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Chain

Chain 2024年第3期1卷 249-262页

作者： Xinyu Wang Junfu Li Runze Wang Yi Wu School of Automotive Engineering Harbin Institute of TechnologyWeihaiShandong 264209China College of Automation and College of Artificial Intelligence Nanjing University of Posts and TelecommunicationsNanjing 210023China

Digital twin technology used to realize the interactive mapping between digital model and physical entity in virtual space plays a crucial role in promoting the transformation of battery management to digitalization and *** key to achieving a digital twin is developing a virtual model that can accurately reflect the physical ***,the intricate time-varying and nonlinear reaction characteristics within the battery often pose challenges in simulating complex operational conditions and maintaining high accuracy throughout the full life *** learning algorithms are suitable for online streaming data processing and can adapt to concept drift of the data stream by receiving new data online without retraining the entire model from *** paper employs a simplified electrochemical model of the battery and integrates an Aggregated Mondrian Forest with incremental learning capabilities to construct a hybrid mechanism-data battery *** developed hybrid model can acquire battery data and train in real time during battery operation to realize co-evolution with the physical battery to ensure the voltage prediction accuracy during the full life cycle of the battery.

关键词： lithium battery digital twin incremental learning mechanism-data model full life cycle

Simulation of second-order RC equivalent circuit model of lithium battery based on variable resistance and capacitance

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Journal of Central South University 2020年第9期27卷 2606-2613页

作者： JI Yan-ju QIU Shi-lin LI Gang College of Instrumentation and Electrical Engineering Jilin UniversityChangchun 130061China

With the rise of the electric vehicle industry,as the power source of electric vehicles,lithium battery has become a research *** state of charge(SOC)estimation and modelling of lithium battery are studied in this *** ampere-hour(Ah)integration method based on external characteristics is analyzed,and the open-circuit voltage(OCV)method is *** two methods are combined to estimate *** the accuracy and complexity of the model,the second-order RC equivalent circuit model of lithium battery is *** discharge and exponential fitting of lithium battery are used to obtain corresponding *** simulation is carried out by using fixed resistance capacitance and variable resistance capacitor *** accuracy of variable resistance and capacitance model is 2.9%,which verifies the validity of the proposed model.

关键词： lithium battery equivalent circuit model parameter identification SOC estimation

Regulating electrochemical performances of lithium battery by external physical field

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Rare Metals 2024年第6期43卷 2391-2417页

作者： Shi-Kang Wang Shuai Wu Yi-Cheng Song Hassanien Gomaa Cui-Hua An Qi-Bo Deng Ning Hu School of Mechanical Engineering School of Materials Science and EngineeringHebei University of TechnologyTianjin 300401China Shanghai Key Laboratory of Mechanics in Energy Engineering Shanghai 200444China Department of Chemistry Faculty of ScienceAl-Azhar UniversityAssiut 71524Egypt Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles Tianjin 300401China State Key Laboratory of Reliability and Intelligence Electrical Equipment Key Laboratory of Advanced Intelligent Protective Equipment TechnologyMinistry of EducationHebei University of TechnologyTianjin 300130China

lithium batteries have always played a key role in the field of new energy ***,non-controllable lithium dendrites and volume dilatation of metallic lithium in batteries with lithium metal as anodes have limited their ***,a large number of studies have shown that the electrochemical performances of lithium batteries can be enhanced through the regulation of external physical ***,it significantly hinders the growth of lithium dendrites and promoting the reaction *** review summarizes recent innovations in the investigation of various physical fields of lithium *** application of magnetic field in the synthesis of lithium battery electrode materials is *** influence factors and regulation mechanism of various physical fields on the electrochemical performance of lithium batteries are reviewed *** addition,the current research status and existing challenges,along with future directions for the evolution of lithium batteries,are minutely discussed and *** strategies for the further evolution of lithium batteries have also been provided.

关键词： lithium battery External field assist Reaction kinetics lithium dendrite

lithium battery state of charge and state of health prediction based on fuzzy Kalman filtering

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Journal of Measurement Science and Instrumentation 2020年第1期11卷 63-69页

作者： Daniil Fadeev ZHANG Xiao-zhou DONG Hai-ying LIU Hao ZHANG Rui-ping School of Automation and Electrical Engineering Lanzhou Jiaotong UniversityLanzhou 730070China State Key Laboratory of Large Electric Transmission Systems and Equipment Technology Tianshui Electric Drive Research Institute Group Co.Ltd.Tianshui 741020China

This paper presents a more accurate battery state of charge(SOC)and state of health(SOH)estimation method.A lithium battery is represented by a nonlinear two-order resistance-capacitance equivalent circuit *** model parameters are estimated by searching least square error optimization *** defined by this method,the model parameters allow to accurately determine the capacity of the battery,which in turn allows to specify the SOC prediction value used as a basis for the SOH *** of the extended Kalman filter(EKF)removes the need of prior known initial SOC,and applying the fuzzy logic helps to eliminate the measurement and process *** results obtained during the urban dynamometer driving schedule(UDDS)test show that the maximum error in estimation of the battery SOC is 0.66%.battery capacity is estimate by offline updated Kalman filter,and then SOH will be *** maximum error in estimation of the battery capacity is 1.55%.

关键词： lithium battery state of charge(SOC) state of health(SOH) adaptive extended Kalman filter(AEKF)