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SOC estimation based on data driven exteaded Kalman filter algorithm for power battery of electric vehicle and plug-in electric vehicle

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Journal of Central South University 2019年第6期26卷 1402-1415页

作者： LIU Fang MA Jie SU Wei-xing chen han-ning TIAN Hui-xin LI Chun-qing School of Computer Science & Technology Tianjin Polytechnic UniversityTianjin 300387China Tianjin Qingyuan Electric Vehicle Limited Liability Company Tianjin 300457China Control Theory and Control Engineering Tianjin UniversityTianjin 300350China

State of charge(SOC)estimation has always been a hot topic in the field of both power battery and new energy vehicle(electric vehicle(EV),plug-in electric vehicle(PHEV)and so on).In this work,aiming at the contradiction problem between the exact requirements of EKF(extended Kalman filter)algorithm for the battery model and the dynamic requirements of battery mode in life cycle or a charge and discharge period,a completely data-driven SOC estimation algorithm based on EKF algorithm is *** innovation of this algorithm lies in that the EKF algorithm is used to get the SOC accurate estimate of the power battery online with using the observable voltage and current data information of the power battery and without knowing the internal parameter variation of the power *** the combination of data-based and model-based SOC estimation method,the new method can avoid high accumulated error of traditional data-driven SOC algorithms and high dependence on battery model of most of the existing model-based SOC estimation methods,and is more suitable for the life cycle SOC estimation of the power battery operating in a complex and ever-changing environment(such as in an EV or PHEV).A series of simulation experiments illustrate better robustness and practicability of the proposed algorithm.

关键词： state of charge extended Kalman filter autoregressive model power battery

Peripheral mitochondrial DNA as a neuroinflammatory biomarker for major depressive disorder

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Neural Regeneration Research 2025年第6期20卷 1541-1554页

作者： Jinmei Ye Cong Duan Jiaxin han Jinrong chen ning Sun Yuan Li Tifei Yuan Daihui Peng Division of Mood Disorder Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina Department of Psychiatry First Hospital of Shanxi Medical UniversityTaiyuanShanxi ProvinceChina Shanghai Key Laboratory of Psychotic Disorders Brain Health InstituteNational Center for Mental DisordersShanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina Co-Innovation Center of Neuroregeneration Nantong UniversityNantongJiangsu ProvinceChina

In the pathogenesis of major depressive disorder, chronic stress-related neuroinflammation hinders favorable prognosis and antidepressant response. Mitochondrial DNA may be an inflammatory trigger, after its release from stress-induced dysfunctional central nervous system mitochondria into peripheral circulation. This evidence supports the potential use of peripheral mitochondrial DNA as a neuroinflammatory biomarker for the diagnosis and treatment of major depressive disorder. Herein, we critically review the neuroinflammation theory in major depressive disorder, providing compelling evidence that mitochondrial DNA release acts as a critical biological substrate, and that it constitutes the neuroinflammatory disease pathway. After its release, mitochondrial DNA can be carried in the exosomes and transported to extracellular spaces in the central nervous system and peripheral circulation. Detectable exosomes render encaged mitochondrial DNA relatively stable. This mitochondrial DNA in peripheral circulation can thus be directly detected in clinical practice. These characteristics illustrate the potential for mitochondrial DNA to serve as an innovative clinical biomarker and molecular treatment target for major depressive disorder. This review also highlights the future potential value of clinical applications combining mitochondrial DNA with a panel of other biomarkers, to improve diagnostic precision in major depressive disorder.

关键词： biomarker cytokine exosomes inflammasome major depressive disorder microglia mitochondrial DNA mitochondrial dysfunction neuroinflammation Toll-like receptor

Research on User Profile Construction Method Based on Improved TF-IDF Algorithm

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印刷与数字媒体技术研究 2024年第6期 110-116页

作者： SHAO Ze-ming LI Yu-ang YANG Ke WANG Guo-peng LIU Xing-guo chen han-ning SI Zhan-jun College of Artificial Intelligence Tianjin University of Science and TechnologyTianjin 300457China The Open University of China Beijing 100039China Engineering Research Center of Integration and Application of Digital Learning Technology Ministry of EducationBeijing 100039China

In the data-driven era of the internet and business environments,constructing accurate user profiles is paramount for personalized user understanding and *** traditional TF-IDF algorithm has some limitations when evaluating the impact of words on classification ***,an improved TF-IDF-K algorithm was introduced in this study,which included an equalization factor,aimed at constructing user profiles by processing and analyzing user search *** the training and prediction capabilities of a Support Vector Machine(SVM),it enabled the prediction of user demographic *** experimental results demonstrated that the TF-IDF-K algorithm has achieved a significant improvement in classification accuracy and reliability.

关键词： TF-IDF-K algorithm User profiling Equalization factor SVM

Multi-species particle swarms optimization based on orthogonal learning and its application for optimal design of a butterfly-shaped patch antenna

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Journal of Central South University 2016年第8期23卷 2048-2062页

作者：孙丽玲胡静涛胡琨元何茂伟陈瀚宁 Department of Information Service & Intelligent Control Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China University of Chinese Academy of Sciences Beijing 100039 China School of Computer Science and Software Tianjin Polytechnic University Tianjin 300387 China

A new multi-species particle swarm optimization with a two-level hierarchical topology and the orthogonal learning strategy(OMSPSO) is proposed, which enhances the global search ability of particles and increases their convergence rates. The numerical results on 10 benchmark functions demonstrated the effectiveness of our proposed algorithm. Then, the proposed algorithm is presented to design a butterfly-shaped microstrip patch antenna. Combined with the HFSS solver, a butterfly-shaped patch antenna with a bandwidth of about 40.1% is designed by using the proposed OMSPSO. The return loss of the butterfly-shaped antenna is greater than 10 d B between 4.15 and 6.36 GHz. The antenna can serve simultaneously for the high-speed wireless computer networks(5.15–5.35 GHz) and the RFID systems(5.8 GHz).

关键词： particle swarm optimization(PSO) multi-species coevolution orthogonal experimental design butterfly-shaped patch antenna

Analysis of Do D inkjet printhead performance for printable electronics fabrication using dynamic lumped element modeling and swarm intelligence based optimal prediction

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Journal of Central South University 2015年第10期22卷 3925-3934页

作者：何茂伟孙丽玲胡琨元朱云龙陈瀚宁 School of Computer Science and Software Tianjin Polytechnic University Department of Information Service & Intelligent Control Shenyang Institute of AutomationChinese Academy of Sciences University of Chinese Academy of Sciences

The major challenge in printable electronics fabrication is to effectively and accurately control a drop-on-demand(Do D) inkjet printhead for high printing quality. In this work, an optimal prediction model, constructed with the lumped element modeling(LEM) and the artificial bee colony(ABC) algorithm, was proposed to efficiently predict the combination of waveform parameters for obtaining the desired droplet properties. For acquiring higher simulation accuracy, a modified dynamic lumped element model(DLEM) was proposed with time-varying equivalent circuits, which can characterize the nonlinear behaviors of piezoelectric printhead. The proposed method was then applied to investigate the influences of various waveform parameters on droplet volume and velocity of nano-silver ink, and to predict the printing quality using nano-silver ink. Experimental results show that, compared with two-dimension manual search, the proposed optimal prediction model perform efficiently and accurately in searching the appropriate combination of waveform parameters for printable electronics fabrication.

关键词： piezoelectric inkjet system lumped element modeling dynamic model nano-silver ink artificial bee colony algorithm

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浅析电影片名的翻译(英文)

海外英语 2011年第6X期 188-190,192页

作者：陈晗凝黄河水利职业技术学院外语系河南开封475004

该文在国内外翻译理论的基础上介绍了电影片名翻译所遵循的信息价值、文化价值、审美价值和商业价值这四条基本原则作为翻译电影片名的四条主线以及主要运用的翻译方法。根据传统的方法,该文还介绍了翻译的六条标准。通过对这些翻译原... 详细信息

该文在国内外翻译理论的基础上介绍了电影片名翻译所遵循的信息价值、文化价值、审美价值和商业价值这四条基本原则作为翻译电影片名的四条主线以及主要运用的翻译方法。根据传统的方法,该文还介绍了翻译的六条标准。通过对这些翻译原则、标准,翻译方法及翻译实例的研究探讨如何做好电影片名的翻译问题。

关键词：电影片名电影片名翻译原则标准方法

Brain region-specific roles of brain-derived neurotrophic factor in social stress-induced depressive-like behavior

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Neural Regeneration Research 2025年第1期20卷 159-173页

作者： Man han Deyang Zeng Wei Tan Xingxing chen Shuyuan Bai Qiong Wu Yushan chen Zhen Wei Yufei Mei Yan Zeng Brain Science and Advanced Technology Institute Wuhan University of Science and TechnologyWuhanHubei ProvinceChina Geriatric Hospital Affiliated to Wuhan University of Science and Technology WuhanHubei ProvinceChina School of Public Health Wuhan University of Science and TechnologyWuhanHubei ProvinceChina

Brain-derived neurotrophic factor is a key factor in stress adaptation and avoidance of a social stress behavioral *** studies have shown that brain-derived neurotrophic factor expression in stressed mice is brain region–specific,particularly involving the corticolimbic system,including the ventral tegmental area,nucleus accumbens,prefrontal cortex,amygdala,and *** how brain-derived neurotrophic factor participates in stress processing in different brain regions will deepen our understanding of social stress *** this review,we discuss the expression and regulation of brain-derived neurotrophic factor in stress-sensitive brain regions closely related to the pathophysiology of *** focused on associated molecular pathways and neural circuits,with special attention to the brain-derived neurotrophic factor–tropomyosin receptor kinase B signaling pathway and the ventral tegmental area–nucleus accumbens dopamine *** determined that stress-induced alterations in brain-derived neurotrophic factor levels are likely related to the nature,severity,and duration of stress,especially in the above-mentioned brain regions of the corticolimbic ***,BDNF might be a biological indicator regulating stress-related processes in various brain regions.

关键词： amygdala chronic mild stress chronic social defeat stress corticolimbic system depression hippocampus medial prefrontal cortex nucleus accumbens social stress models ventral tegmental area

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高职高专中外合作办学的困境与出路

江苏海洋大学学报（人文社会科学版） 2012年第3期10卷 95-97页

作者：陈晗凝黄河水利职业技术学院外语系河南开封475004

高职高专中外合作办学在发展过程中由于自身原因面临着办学理念、生源市场、教师资源、专业设置、就业前景等几个方面的困境。在此情况下,高职高专学校需借助政府的宏观调控,端正办学理念,树立特色品牌,优化专业设置,使其中外合作办学... 详细信息

高职高专中外合作办学在发展过程中由于自身原因面临着办学理念、生源市场、教师资源、专业设置、就业前景等几个方面的困境。在此情况下,高职高专学校需借助政府的宏观调控,端正办学理念,树立特色品牌,优化专业设置,使其中外合作办学项目走出困境。

关键词：高职高专中外合作办学困境出路

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云制造模式下分布式资源共享激励机制研究

东北大学学报（自然科学版） 2022年第4期43卷 480-487,495页

作者：陈瀚宁胡永青苏卫星孙琳程天津工业大学控制科学与工程学院天津300000 天津工业大学计算机科学与技术学院天津300000

针对云制造模式下分布式企业间迫切需要开展大规模开放式协作及资源共享的需求,结合演化博弈理论,建立分布式环境下资源共享激励机制,分析了不同情况下资源共享的演化博弈趋势.通过理论分析及仿真实验可知:资源可共享总量、资源共享水... 详细信息

针对云制造模式下分布式企业间迫切需要开展大规模开放式协作及资源共享的需求,结合演化博弈理论,建立分布式环境下资源共享激励机制,分析了不同情况下资源共享的演化博弈趋势.通过理论分析及仿真实验可知:资源可共享总量、资源共享水平、资源利用能力、协同收益系数、评价收益系数、共享激励系数及投机惩罚系数对资源共享起促进作用,共享成本系数起阻碍作用,直接收益系数无影响,协同收益分配系数与资源共享演化稳定状态呈倒U型关系.本文研究内容为促进分布式资源共享,加速未来云制造模式下产业创新研发提供借鉴意义.

关键词：云制造分布式研发环境资源共享激励机制演化博弈