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AMT手动挡锁挡控制策略研究

汽车实用技术 2024年第3期49卷 80-85页

作者：张双全朱小刚卢成春安徽华菱汽车有限公司安徽马鞍山243061

为实现纯电动商用车机械式自动变速箱(AMT)适应复杂行驶工况,可通过整车控制器(VCU)控制变速箱进行手动挡锁挡控制。通过使用比例积分(PI)调节的控制方式对电机扭矩进行限制,从而将驱动电机的转速控制在限值之内。然后基于控制器局域网(... 详细信息

为实现纯电动商用车机械式自动变速箱(AMT)适应复杂行驶工况,可通过整车控制器(VCU)控制变速箱进行手动挡锁挡控制。通过使用比例积分(PI)调节的控制方式对电机扭矩进行限制,从而将驱动电机的转速控制在限值之内。然后基于控制器局域网(CAN)标定协议(CCP)进行在线标定,截取相应的报文数据进行分析,验证其功能。试验结果显示,文章的控制方法能够实现车辆的手动挡锁挡功能,电机转速波动范围在±20r/min之内,且车身无抖动现象,具有较好的驾驶平顺性。

关键词： AMT 在线标定 Simulink模型控制策略

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规模化储能虚拟同步控制策略及其惯量分析

电力科学与技术学报 2024年第2期39卷 190-197页

作者：杨力朱晓纲李勇陈晓嘉黄博文徐镇涛湖南迪泰尔综合能源规划设计有限公司湖南长沙410001 湖南大学电气与信息工程学院湖南长沙410082 国网湖南综合能源服务有限公司湖南长沙410001

高比例电力电子设备无法为系统提供足够惯量,给电力系统带来巨大的挑战。虚拟同步发电机(virtual synchronous generator,VSG)控制的储能系统可以参与电网频率调整,提高频率稳定性。重点分析VSG控制参数对含规模化储能的多节点系统的稳... 详细信息

高比例电力电子设备无法为系统提供足够惯量,给电力系统带来巨大的挑战。虚拟同步发电机(virtual synchronous generator,VSG)控制的储能系统可以参与电网频率调整,提高频率稳定性。重点分析VSG控制参数对含规模化储能的多节点系统的稳定性和惯量支撑能力的影响,给出规模化储能在不同系统惯量水平下控制参数的配置依据。首先,介绍VSG控制的原理和实现方式,并建立系统的状态空间模型。其次,分析同步电机的惯量响应过程,推导频率扰动事件下VSG需要提供的能量及对应的虚拟惯性时间常数。然后,建立含VSG控制储能的3机9节点系统仿真模型,利用模态分析法分析控制参数对系统稳定性的影响。最后,通过仿真验证储能的惯性支撑能力以及储能参数配置原则的有效性。

关键词：规模化储能虚拟同步机控制惯量提升频率稳定

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Detecting Vulnerability on IoT Device Firmware: A Survey

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 25-41页

作者： Xiaotao Feng xiaogang zhu Qing-Long Han Wei Zhou Sheng Wen Yang Xiang School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyHawthorn VIC 3122Australia IEEE

Internet of things (IoT) devices make up 30%of all network-connected endpoints,introducing vulnerabilities and novel attacks that make many companies as primary targets for *** address this increasing threat surface,every organization deploying IoT devices needs to consider security risks to ensure those devices are secure and *** all the solutions for security risks,firmware security analysis is essential to fix software bugs,patch vulnerabilities,or add new security features to protect users of those vulnerable ***,firmware security analysis has never been an easy job due to the diversity of the execution environment and the close source of *** two distinct features complicate the operations to unpack firmware samples for detailed *** also make it difficult to create visual environments to emulate the running of device *** researchers have developed many novel methods to overcome various challenges in the past decade,critical barriers impede firmware security analysis in ***,this survey is motivated to systematically review and analyze the research challenges and their solutions,considering both breadth and ***,based on the analysis perspectives,various methods that perform security analysis on IoT devices are introduced and classified into four *** challenges in each category are discussed in detail,and potential solutions are proposed *** then discuss the flaws of these solutions and provide future directions for this research *** survey can be utilized by a broad range of readers,including software developers,cyber security researchers,and software security engineers,to better understand firmware security analysis.

关键词： Firmware emulation internet of things(IoT)firmware network fuzzing security static analysis

Computational Prediction of the Specificities of Proteasome Interaction With Antigen Protein

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Cellular & Molecular Immunology 2009年第2期6卷 135-142页

作者： Tao Liu Wei Liu Zhe Song Chunbo Jiao Minghua zhu xiaogang Wang College of Advanced Science and Technology Dalian University of Technology Dalian 116023 China

In the processing and presentation of antigenic peptides bound by the major histocompatibility complex （MHC） class I molecule, the ubiquitin-proteasome system of the eukaryotic cells plays an important role in proteolysis and degradation. The ubiquitinated protein substrate is delivered into the 26S proteasome to be digested and degraded. The proteasome degrading substrate is actually protein-protein interactions. Some researches of predicting proteasome cleave site rarely gave the information of the proteasome interacting with its substrate, and so the accuracy and reliability of these proteasome cleavage predictive methods still need to be improved. This paper used support vector machine method （SVM） to predict the proteasomal cleavage sites, and the predictive accuracy of the model was 82.8%. We showed analytically that the cleavage specificities of the cleavage sites ＂ ι＂ and its adjacent positions, and gave the information about the proteasome interacting with its substrate from our research results. It demonstrates that the proteasome cleaving to target protein is selective, but not random.

关键词： proteasome major histocompatibility complex support vector machine

Enhancing electrochemical capacity and interfacial stability of lithium-ion batteries through side reaction modulation with ultrathin carbon nanotube film and optimized lithium cobalt oxide particle size

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Nano Research 2024年第8期17卷 7230-7241页

作者： Wei Xi xiaogang Xia Jiacheng zhu Dehua Yang Sishen Xie Beijing National Laboratory for Condensed Matter Physics and Institute of Physics Chinese Academy of SciencesBeijing 100190China School of Physical Sciences University of Chinese Academy of SciencesBeijing 100049China Advanced Passivation Technology Lab College of Physics Science and TechnologyHebei UniversityBaoding 071002China

Lithium cobalt oxide(LCO),the first commercialized cathode active material for lithium-ion batteries,is known for high voltage and ***,its application has been limited by relatively low capacity and stability at high *** particle size is considered one of the most straightforward and effective strategies to enhance ion transfer,thus increasing the rate ***,side reactions are simultaneously enhanced as the specific surface area ***,we investigate the impact of LCO particles with varying size distributions and optimize the particle *** modulate the side reactions associated with particle size reduction,an ultrathin carbon nanotube film(UCNF)is introduced to coat the cathode *** this simple process and optimized particle size,the rate performance improves significantly,normal commercial LCO achieves 118 mA·h·g^(−1)at 3.0–4.3 V and 20 C(0.72 mA·h·cm^(−2)),corresponding to power density of 8732 W·kg^(−1).This method is applied to high voltage as well,152 mA·h·g^(−1)at 3.0–4.6 V and 20 C(0.99 mA·h·cm^(−2))was achieved with high-voltage LCO(HVLCO),corresponding to power density of 11,552 W·kg^(−1).The cycling stability is also enhanced,with the capacity retention maintaining more than 96%after 100 cycles at 0.1 *** the first time,UCNF is demonstrated to suppress the excessive decomposition of the electrolytes and solvents by blocking electron injection/extraction between LCO and electrolyte *** findings provide a simple method for improving LCO rate performance,especially at high C-rates.

关键词： lithium-ion batteries lithium cobalt oxides carbon nanomaterials side reactions

MTTSNet:Military time-sensitive targets stealth network via real-time mask generation

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Defence Technology（防务技术） 2024年第3期33卷 601-612页

作者： Siyu Wang xiaogang Yang Ruitao Lu Zhengjie zhu Fangjia Lian Qing-ge Li Jiwei Fan PLA Rocket Force University of Engineering Xi'an 710025China

The automatic stealth task of military time-sensitive targets plays a crucial role in maintaining national military security and mastering battlefield dynamics in military *** propose a novel Military Time-sensitive Targets Stealth Network via Real-time Mask Generation(MTTSNet).According to our knowledge,this is the first technology to automatically remove military targets in real-time from *** critical steps of MTTSNet are as follows:First,we designed a real-time mask generation network based on the encoder-decoder framework,combined with the domain expansion structure,to effectively extract mask ***,the ASPP structure in the encoder could achieve advanced semantic feature *** decoder stacked high-dimensional information with low-dimensional information to obtain an effective mask ***,the domain expansion module guided the adaptive expansion of mask ***,a context adversarial generation network based on gated convolution was constructed to achieve background restoration of mask positions in the original *** addition,our method worked in an end-to-end manner.A particular semantic segmentation dataset for military time-sensitive targets has been constructed,called the Military Time-sensitive Target Masking Dataset(MTMD).The MTMD dataset experiment successfully demonstrated that this method could create a mask that completely occludes the target and that the target could be hidden in real time using this *** demonstrated the concealment performance of our proposed method by comparing it to a number of well-known and highly optimized baselines.

关键词： Deep learning Military application Targets stealth network Mask generation Generative adversarial network

Stress-assisted corrosion mechanism of 3Ni steel by using gradient boosting decision tree machining learning method

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International Journal of Minerals,Metallurgy and Materials 2024年第6期31卷 1311-1321页

作者： Xiaojia Yang Jinghuan Jia Qing Li Renzheng zhu Jike Yang Zhiyong Liu Xuequn Cheng xiaogang Li Institute of Advanced Materials and Technology University of Science and Technology BeijingBeijing 100083China AECC Key Laboratory of Advanced Corrosion and Protection of Aeronautical Materials AECC Beijing Institute of Aeronautical MaterialsBeijing 100095China Shunde Innovation School University of Science and Technology BeijingFoshan 528399China

Traditional 3Ni weathering steel cannot completely meet the requirements for offshore engineering development,resulting in the design of novel 3Ni steel with the addition of microalloy elements such as Mn or Nb for strength enhancement becoming a *** stress-assisted corrosion behavior of a novel designed high-strength 3Ni steel was investigated in the current study using the corrosion big data *** information on the corrosion process was recorded using the galvanic corrosion current monitoring *** gradi-ent boosting decision tree(GBDT)machine learning method was used to mine the corrosion mechanism,and the importance of the struc-ture factor was *** exposure tests were conducted to verify the calculated results using the GBDT *** indic-ated that the GBDT method can be effectively used to study the influence of structural factors on the corrosion process of 3Ni ***-ferent mechanisms for the addition of Mn and Cu to the stress-assisted corrosion of 3Ni steel suggested that Mn and Cu have no obvious effect on the corrosion rate of non-stressed 3Ni steel during the early stage of *** the corrosion reached a stable state,the in-crease in Mn element content increased the corrosion rate of 3Ni steel,while Cu reduced this *** the presence of stress,the increase in Mn element content and Cu addition can inhibit the corrosion *** corrosion law of outdoor-exposed 3Ni steel is consistent with the law based on corrosion big data technology,verifying the reliability of the big data evaluation method and data prediction model selection.

关键词： weathering steel stress-assisted corrosion gradient boosting decision tree machining learning

A 4H-SiC semi-super-junction shielded trench MOSFET: p-pillar is grounded to optimize the electric field characteristics

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Journal of Semiconductors 2022年第12期43卷 79-87页

作者： Xiaojie Wang Zhanwei Shen Guoliang Zhang Yuyang Miao Tiange Li xiaogang zhu Jiafa Cai Rongdun Hong Xiaping Chen Dingqu Lin Shaoxiong Wu Yuning Zhang Deyi Fu Zhengyun Wu Feng Zhang College of Physical Science and Technology Xiamen UniversityXiamen 361005China Key Laboratory of Semiconductor Material Sciences Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China Shenzhen Research Institute of Xiamen University Shenzhen 518057China Jiujiang Research Institute of Xiamen University Jiujiang 332000China

A 4H-SiC trench gate metal-oxide-semiconductor field-effect transistor(UMOSFET)with semi-super-junction shiel-ded structure(SS-UMOS)is proposed and compared with conventional trench MOSFET(CT-UMOS)in this *** advantage of the proposed structure is given by comprehensive study of the mechanism of the local semi-super-junction structure at the bottom of the trench *** particular,the influence of the bias condition of the p-pillar at the bottom of the trench on the static and dynamic performances of the device is compared and *** on-resistance of SS-UMOS with grounded(G)and ungrounded(NG)p-pillar is reduced by 52%(G)and 71%(NG)compared to CT-UMOS,***,gate ox-ide in the GSS-UMOS is fully protected by the p-shield layer as well as semi-super-junction structure under the trench and p-base ***,a reduced electric-field of 2 MV/cm can be achieved at the corner of the p-shield ***,the quasi-intrinsic protective layer cannot be formed in NGSS-UMOS due to the charge storage effect in the floating p-pillar,resulting in a large electric field of 2.7 MV/cm at the gate oxide ***,the total switching loss of GSS-UMOS is 1.95 mJ/cm2 and is reduced by 18%compared with *** the contrary,the NGSS-UMOS has the slowest overall switching speed due to the weakened shielding effect of the p-pillar and the largest gate-to-drain capacitance among the *** proposed GSS-UMOS plays an important role in high-voltage and high-frequency applications,and will provide a valuable idea for device design and circuit applications.

关键词： breakdown voltage specific on-resistance silicon carbide switching energy loss super-junction-shield(SS) trench gate MOSFET grounded(G) ungrounded(NG)

城市快速路高架桥段行驶视觉空间的结构特征与行车安全

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哈尔滨工业大学学报 2020年第5期52卷 186-193页

作者：杨龙海朱小刚哈尔滨工业大学交通科学与工程学院哈尔滨150090 江西师范大学城市建设学院南昌330022

视觉疲劳是驾驶人在高速行车过程中致命的交通安全隐患,对驾驶人行驶视觉空间的结构特征进行数量化分析,是研究驾驶视觉和行车安全的重要途径.针对城市快速路高架桥比例高和视觉环境单一等特点,用车载等距变距自动成像技术对高架桥段驾... 详细信息

视觉疲劳是驾驶人在高速行车过程中致命的交通安全隐患,对驾驶人行驶视觉空间的结构特征进行数量化分析,是研究驾驶视觉和行车安全的重要途径.针对城市快速路高架桥比例高和视觉环境单一等特点,用车载等距变距自动成像技术对高架桥段驾驶人行驶视觉空间进行还原模拟实验,采用数值计算对普通高架桥段和特殊零界面高架桥段行驶视觉空间的结构特征进行分析比对,确定两种典型空间的视觉要素构成与变化频率.实验结果表明,除天际背景外城市高架路行驶视觉空间内的视觉要素均低于普通城市道路;普通高架桥段的主要视觉要素为空旷天际背景的桥面,其次为右侧沿街建筑,且分布均衡单一,易导致驾驶人视觉疲劳;零界面高架桥段的视觉要素较长时间处于匮乏状态,易引发驾驶人焦虑、恐慌和不稳定感等负面驾驶心理.通过交通安全设施的合理设计引导驾驶员视线适时收放可有效缓解驾驶人的视觉疲劳,增加视觉对象作为高程参照是消除零界面桥段负面驾驶心理的最直接手段.

关键词：城市快速路高架桥行驶视觉空间驾驶视觉行车安全