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Characterization and identification towards dynamic-based electrical modeling of lithium-ion batteries

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Journal of Energy Chemistry 2024年第5期92卷 738-758页

作者： Chuanxin Fan Kailong Liu Yaxing Ren qiao peng School of Automation Nanjing Institute of TechnologyNanjing 211167JiangsuChina School of Control Science and Engineering Shandong UniversityJinan 250100ShandongChina School of Engineering University of LincolnLincoln LN67TSUK Information Technology Analytics&Operations GroupQueen’s University BelfastBelfast BT95EEUK

Lithium-ion batteries are widely recognized as a crucial enabling technology for the advancement of electric vehicles and energy storage systems in the *** design of battery state estimation and control algorithms in battery management systems is usually based on battery models,which interpret crucial battery dynamics through the utilization of mathematical ***,the investigation of battery dynamics with the purpose of battery system identification has garnered considerable attention in the realm of battery *** methods in terms of linear and nonlinear response of lithium-ion batteries have emerged as a prominent area of study in this *** review has undertaken an analysis and discussion of characterization methods,with a particular focus on the motivation of battery system ***,this work encompasses the incorporation of frequency domain nonlinear characterization methods and dynamics-based battery electrical *** aim of this study is to establish a connection between the characterization and identification of battery systems for researchers and engineers specialized in the field of batteries,with the intention of promoting the advancement of efficient battery technology for real-world applications.

关键词： Lithium-ion battery Battery dynamics Nonlinear characterization Nonlinear battery model

Explainable Neural Network for Sensitivity Analysis of Lithium-ion Battery Smart Production

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IEEE/CAA Journal of Automatica Sinica 2024年第9期11卷 1944-1953页

作者： Kailong Liu qiao peng Yuhang Liu Naxin Cui Chenghui Zhang School of Control Science and Engineering Shandong UniversityJinan 250061China Information Technology Analytics&Operations groupQueen’s University BelfastBelfast BT71NNUK

Battery production is crucial for determining the quality of electrode,which in turn affects the manufactured battery *** battery production is complicated with strongly coupled intermediate and control parameters,an efficient solution that can perform a reliable sensitivity analysis of the production terms of interest and forecast key battery properties in the early production phase is urgently *** paper performs detailed sensitivity analysis of key production terms on determining the properties of manufactured battery electrode via advanced data-driven *** be specific,an explainable neural network named generalized additive model with structured interaction(GAM-SI)is designed to predict two key battery properties,including electrode mass loading and porosity,while the effects of four early production terms on manufactured batteries are explained and *** experimental results reveal that the proposed method is able to accurately predict battery electrode properties in the mixing and coating *** addition,the importance ratio ranking,global interpretation and local interpretation of both the main effects and pairwise interactions can be effectively visualized by the designed neural *** to the merits of interpretability,the proposed GAM-SI can help engineers gain important insights for understanding complicated production behavior,further benefitting smart battery production.

关键词： Battery management battery manufacturing data science explainable artificial intelligence sensitivity analysis

Simulation of Underground Reservoir Stability of Pumped Storage Power Station Based on Fluid-Structure Coupling

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1381-1399页

作者： peng qiao Shuangshuang Lan Hongbiao Gu Zhengtan Mao Faculty of Architecture Civil and Transportation EngineeringBeijing University of TechnologyBeijing100020China College of Transportation Engineering Nanjing Tech UniversityNanjing210000China

Based on global initiatives such as the clean energy transition and the development of renewable energy,the pumped storage power station has become a new and significant way of energy storage and regulation,and its construction environment is more complex than that of a traditional *** particular,the stability of the rock strata in the underground reservoirs is affected by the seepage pressure and rock stress,which presents some challenges in achieving engineering safety and *** the advantages of the numerical simulation method in dealing deal with nonlinear problems in engineering stability,in this study,the stability of the underground reservoir of the Shidangshan(SDS)pumped storage power station was numerically calculated and quantitatively analyzed based on fluid-structure coupling theory,providing an important reference for the safe operation and management of the underground ***,using the COMSOL software,a suitablemechanicalmodel was created in accordance with the geological structure and project characteristics of the underground ***,the characteristics of the stress field,displacement field,and seepage field after excavation of the underground reservoir were simulated in light of the seepage effect of groundwater on the nearby rock of the underground ***,based on the construction specifications and Molar-Coulomb criterion,a thorough evaluation of the stability of the underground reservoir was performed through simulation of the filling and discharge conditions and anti-seepage strengthening *** findings demonstrate that the numerical simulation results have a certain level of reliability and are in accordance with the stress measured in the project *** underground reservoir excavation resulted in a maximum displacement value of the rock mass around the caverns of 3.56 mm in a typical section,and the safety coefficient of the parts,as determined using the Molar-Coulomb criterion,was highe

关键词： Underground reservoir fluid-structure coupling numerical simulation pumped storage power station filling and discharge

Emerging mechanisms and implications of c GAS-STING signaling in cancer immunotherapy strategies

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Cancer Biology & Medicine 2024年第1期21卷 45-64页

作者： Jiawen Zhang Sihui Yu qiao peng Ping Wang Lan Fang Tongji University Cancer Center Shanghai Tenth People’s HospitalSchool of MedicineTongji UniversityShanghai 200072China Reproductive Medicine Center Department of Obstetrics and GynecologyShanghai General HospitalShanghai Jiao Tong University School of MedicineShanghai 201620China Department of Obstetrics and Gynecology Zhongshan HospitalFudan UniversityShanghai 200032China

The intricate interplay between the human immune system and cancer development underscores the central role of immunotherapy in cancer *** this landscape,the innate immune system,a critical sentinel protecting against tumor incursion,is a key *** cyclic GMP-AMP synthase(c GAS)and stimulator of interferon genes(STING)pathway has been found to be a linchpin of innate immunity:activation of this signaling pathway orchestrates the production of type I interferon(IFN-α/β),thus fostering the maturation,differentiation,and mobilization of immune effectors in the tumor ***,STING activation facilitates the release and presentation of tumor antigens,and therefore is an attractive target for cancer *** strategies to activate the STING pathway,including use of pharmacological agonists,have made substantial advancements,particularly when combined with immune checkpoint *** approaches have shown promise in preclinical and clinical settings,by enhancing patient survival *** review describes the evolving understanding of the c GAS-STING pathway's involvement in tumor biology and ***,this review explores classical and non-classical STING agonists,providing insights into their mechanisms of action and potential for optimizing immunotherapy *** challenges and complexities,the c GAS-STING pathway,a promising avenue for enhancing cancer treatment efficacy,has the potential to revolutionize patient outcomes.

关键词： cGAS-STING pathway type I interferon cyclic dinucleotide STING agonist cancer immunotherapy

Adaptive battery thermal management systems in unsteady thermal application contexts

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Journal of Energy Chemistry 2024年第10期97卷 650-668页

作者： Kailong Liu qiao peng Zhuoran Liu Wei Li Naxin Cui Chenghui Zhang School of Control Science and Engineering Shandong University Information Technology Analytics & Operations Group Queen's University Belfast College of Design and Engineering National University of Singapore

With the increasing attention paid to battery technology,the microscopic reaction mechanism and macroscopic heat transfer process of lithium-ion batteries have been further studied and understood from both academic and industrial ***,as one of the key parameters in the physical fra mework of batteries,affects the performa nce of the multi-physical fields within the battery,a nd its effective control is *** the heat generation in the battery is determined by the real-time operating conditions,the battery temperature is essentially controlled by the real-time heat dissipation conditions provided by the battery thermal management *** battery thermal management systems have basic temperature control capabilities for most conventional application ***,with the current development of la rge-scale,integrated,and intelligent battery technology,the adva ncement of battery thermal management technology will pay more attention to the effective control of battery temperature under sophisticated situations,such as high power and widely varied operating *** this context,this paper presents the latest advances and representative research related to battery thermal management ***,starting from battery thermal profile,the mechanism of battery heat generation is discussed in ***,the static characteristics of the traditional battery thermal management system are ***,considering the dynamic requirements of battery heat dissipation under complex operating conditions,the concept of adaptive battery thermal management system is proposed based on specific research ***,the main challenges for battery thermal management system in practice are identified,and potential future developments to overcome these challenges are presented and discussed.

关键词： Battery safety Battery thermal management system Cooling methods Heat generation mechanism Lithium-ion batteries

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统一大市场、产业结构调整与区域经济差距

当代经济管理 2024年第4期46卷 12-23页

作者：韩笑彭桥天津师范大学马克思主义学院天津300382 天津财经大学统计学院天津300221

缩小区域经济差距是我国实现共同富裕总体目标的重要内容,全国统一大市场建设对于我国区域产业结构调整、缩小区域经济差距、实现共同富裕具有重要影响。文章利用我国2011—2020年省级面板数据,基于产业结构调整视角,探讨了统一大市场... 详细信息

缩小区域经济差距是我国实现共同富裕总体目标的重要内容,全国统一大市场建设对于我国区域产业结构调整、缩小区域经济差距、实现共同富裕具有重要影响。文章利用我国2011—2020年省级面板数据,基于产业结构调整视角,探讨了统一大市场对我国区域经济差距的影响效应及作用路径,研究发现:整体而言,统一大市场可显著缩小区域经济差距,但由于集聚效应与分散效应大小的相对变化,统一商品市场与要素市场对我国区域经济差距影响存在“倒U型”效应,且当前我国大约1/3的省份已跃过拐点,经过一系列稳健性检验并消除内生性问题后,该结论依然成立;深化区域产业分工和促进区域产业结构升级在统一大市场影响区域经济差距中发挥重要中介作用,商品市场和要素市场统一有利于区域产业分工和产业结构升级并存在互补效应,且能相互增强其对区域经济差距的影响。基于此,文章从完善统一大市场建设、优化区域产业结构调整等方面提出政策建议。

关键词：统一大市场区域产业结构调整区域经济差距共同富裕

基于沙地猫群优化–最小二乘支持向量机的动态NOx排放预测

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中国电机工程学报 2024年第1期44卷 182-190,I0015页

作者：金秀章史德金乔鹏华北电力大学控制与计算机工程学院河北省保定市071003

针对火电机组频繁调峰导致机组燃烧状态不稳,进而导致锅炉出口NOx浓度波动范围大的问题,提出一种基于沙地猫群优化(sand cat sarm optimization,SCSO)的最小二乘支持向量机(leastsquaressupportvectormachine,LSSVM) NOx动态预测模型。... 详细信息

针对火电机组频繁调峰导致机组燃烧状态不稳,进而导致锅炉出口NOx浓度波动范围大的问题,提出一种基于沙地猫群优化(sand cat sarm optimization,SCSO)的最小二乘支持向量机(leastsquaressupportvectormachine,LSSVM) NOx动态预测模型。首先利用k近邻互信息计算时间延迟的同时筛选辅助变量。然后,基于SCSO算法进行输入变量阶次的选择。使用包含辅助变量时间延迟和阶次的信息作为模型的输入,SCSO算法优化最小二乘支持向量机参数,建立动态NOx排放最小二乘支持向量机预测模型(SCSO-LSSVM动态软测量模型)。最后将模型与未加入迟延的LSSVM模型,加入迟延的LSSVM模型和粒子群优化算法(particle swarm optimization,PSO)优化最小二乘支持向量机参数的动态软测量模型进行对比验证。结果表明,相较于其他模型,该文建立SCSO-LSSVM动态软测量模型均方根误差、平均绝对误差、平均绝对误差最小,预测精度最高,而且在NOx浓度剧烈波动时也能够较好地预测NOx浓度,具有很好的动态特性。

关键词： NOx浓度 k近邻互信息沙地猫群优化算法最小二乘支持向量机软测量模型

面向GPU的5G新型无线电的高吞吐率LDPC译码器

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国防科技大学学报 2024年第1期46卷 141-148页

作者：李荣春周鑫乔鹏王庆林国防科技大学计算机学院湖南长沙410073 国防科技大学并行与分布计算全国重点实验室湖南长沙410073

提出了一种基于图形处理单元(graphic processing unit,GPU)的5G软件无线电准循环低密度奇偶校验(low density parity check,LDPC)码译码器,为了节省片上和片下带宽,采用码字缩短和打孔技术、两级量化和数据打包方案,以提升数据带宽的... 详细信息

提出了一种基于图形处理单元(graphic processing unit,GPU)的5G软件无线电准循环低密度奇偶校验(low density parity check,LDPC)码译码器,为了节省片上和片下带宽,采用码字缩短和打孔技术、两级量化和数据打包方案,以提升数据带宽的利用率。实验基于Nvidia RTX 2080Ti GPU平台实现了高码率情况下的最小和近似译码算法的并行译码,通过分析GPU上的最优线程设置,将码率为5/6的(2080,1760)LDPC算法的译码吞吐率提升至1.38 Gbit/s,译码吞吐率性能优于现有其他基于GPU的LDPC译码器。

关键词：低密度奇偶校验 5G 图形处理单元软件无线电

基于知识矩阵推理的小型模块化反应堆并发故障诊断方法研究

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核动力工程 2024年第3期45卷 170-173页

作者：彭俏马杰刘明辉绳东杰海军工程大学核科学技术学院武汉430033

针对小型模块化反应堆(SMR)并发故障诊断问题,提出了一种基于知识矩阵进行知识表达和推理的并发故障诊断方法,该方法给出了一种高效的专家知识表达方式,将传统专家系统复杂的逻辑推理转换为简捷的矩阵运算,提高了故障诊断效率,可满足SM... 详细信息

针对小型模块化反应堆(SMR)并发故障诊断问题,提出了一种基于知识矩阵进行知识表达和推理的并发故障诊断方法,该方法给出了一种高效的专家知识表达方式,将传统专家系统复杂的逻辑推理转换为简捷的矩阵运算,提高了故障诊断效率,可满足SMR在线并发故障诊断的要求,并以SMR发生主冷却剂管路破损和控制棒掉棒并发故障为诊断示例证明了本方法的有效性。

关键词：小型模块化反应堆(SMR) 并发故障诊断知识矩阵推理