检索结果-南通市图书馆

Control Algorithm of Electric Vehicle in Coasting Mode Based on Driving Feeling

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Mechanical Engineering 2015年第3期28卷 479-486页

作者： SUN Daxu LAN Fengchong zhou yunjiao CHEN Jiqing School of Mechanical & Automotive Engineering South China University of Technology Key Laboratory of Guangdong Province of Automotive Engineering South China University of Technology

Coasting in gear is a common driving mode for the conventional vehicle equipped with the internal combustion engine（ICE）, and the assistant braking function of ICE is utilized to decelerate the vehicle in this mode. However, the electric vehicle（EV） does not have this feature in the coasting mode due to the relatively small inertia of the driving motor, so it will cause the driver cannot obtain the similar driving feeling to that of the conventional vehicle, and even a traffic accident may occur if the driver cannot immediately adapt to the changes. In this paper, the coasting control for EV is researched based on the driving feeling. A conventional vehicle equipped with continuously variable transmission（CVT） is taken as the reference vehicle, and the combined simulation model of EV is established based on AVL CRUISE and MATLAB/Simulink. The torque characteristic of the CVT output shaft is measured in coasting mode, and the data are smoothed and fitted to a polynomial curve. For the EV in coasting mode, if the state of charge（SOC） of the battery is below 95%, the polynomial curve is used as the control target for the torque characteristic of the driving motor, otherwise, the required torque is replaced by hydraulic braking torque to keep the same deceleration. The co-simulation of Matlab/Simulink/Stateflow and AVL CRUISE, as well as the hardware-in-loop experiment combined with d SPACE are carried out to verify the effectiveness and the real-time performance of the control algorithm. The results show that the EV with coasting braking control system has similar driving feeling to that of the reference vehicle, meanwhile, the battery SOC can be increased by 0.036% and 0.021% in the initial speed of 100 km/h and 50 km/h, respectively. The proposed control algorithm for EV is beneficial to improve the driving feeling in coasting mode, and it also makes the EV has the assistant braking function.

关键词： electric vehicle coasting braking control algorithm engine braking motor braking

Molecular mechanism of interaction between SARS-CoV-2 and host cells and interventional therapy

在线全文

学校读者我要写书评

暂无评论

Signal Transduction and Targeted Therapy 2021年第7期6卷 2069-2087页

作者： Qianqian Zhang Rong Xiang Shanshan Huo yunjiao zhou Shibo Jiang Qiao Wang Fei Yu key Laboratory of Medical Molecular Virology(MOE/NHC/CAMS) School of Basic Medical SciencesShanghai Institute of Infectious Disease and BiosecurityFudan UniversityShanghaiChina College of Life Sciences Hebei Agricultural UniversityBaodingChina

The pandemic of coronavirus disease 2019(COVID-19)caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection has resulted in an unprecedented setback for global economy and ***-CoV-2 has an exceptionally high level of transmissibility and extremely broad tissue ***,the underlying molecular mechanism responsible for sustaining this degree of virulence remains largely *** this article,we review the current knowledge and crucial information about how SARS-CoV-2 attaches on the surface of host cells through a variety of receptors,such as ACE2,neuropilin-1,AXL,and antibody-FcyR *** further explain how its spike(S)protein undergoes conformational transition from prefusion to postfusion with the help of proteases like furin,TMPRSS2,and *** then review the ongoing experimental studies and clinical trials of antibodies,peptides,or small-molecule compounds with anti-SARS-CoV-2 activity,and discuss how these antiviral therapies targeting host-pathogen interaction could potentially suppress viral attachment,reduce the exposure of fusion peptide to curtail membrane fusion and block the formation of six-helix bundle(6-HB)fusion ***,the specter of rapidly emerging SARS-CoV-2 variants deserves a serious review of broad-spectrum drugs or vaccines for long-term prevention and control of COVID-19 in the future.

关键词： prevention drugs respiratory

基于双目立体视觉的乘员运动姿态测量方法研究

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

机械设计与制造工程 2024年第1期53卷 126-130页

作者：凌雄娟周云郊彭建喜佛山职业技术学院电子信息学院广东佛山528000 华南理工大学机械与汽车工程学院广东广州510640 广东省汽车工程重点实验室广东广州510640

提出了基于双目立体视觉的汽车乘员运动姿态测量方法。首先使用自主搭建的双目立体视觉系统,按照张正友标定法标定相机并对图像进行立体校正;然后提出基于邻域的SGBM单参数优化算法,并依此建立乘员关键特征点与三维空间坐标间的映射关系... 详细信息

提出了基于双目立体视觉的汽车乘员运动姿态测量方法。首先使用自主搭建的双目立体视觉系统,按照张正友标定法标定相机并对图像进行立体校正;然后提出基于邻域的SGBM单参数优化算法,并依此建立乘员关键特征点与三维空间坐标间的映射关系,实现了对乘员运动姿态的非接触动态测量。实验结果表明,该方法可以有效地测量乘员运动姿态,且测量精度较高,对汽车乘员非标准坐姿下的保护策略制定具有重要的参考价值。

关键词：双目立体视觉乘员姿态测量半全局匹配算法

维普期刊数据库博看期刊

An ultrapotent pan-β-coronavirus lineage B(β-CoV-B)neutralizing antibody locks the receptor-binding domain in closed conformation by targeting its conserved epitope

在线全文

学校读者我要写书评

暂无评论

Protein & Cell 2022年第9期13卷 655-675页

作者： Zezhong Liu Wei Xu Zhenguo Chen Wangjun Fu Wuqiang Zhan Yidan Gao Jie zhou yunjiao zhou Jianbo Wu Qian Wang Xiang Zhang Aihua Hao Wei Wu Qianqian Zhang Yaming Li Kaiyue Fan Ruihong Chen Qiaochu Jiang Christian TMayer Till Schoofs Youhua Xie Shibo Jiang Yumei Wen Zhenghong Yuan Kang Wang Lu Lu Lei Sun Qiao Wang Key Laboratory of Medical Molecular Virology(MOE/NHC/CAMS) School of Basic Medical SciencesShanghai Institute of Infectious Disease and Biosecuritythe Fifth People’s Hospital of ShanghaiShanghai Key Laboratory of Medical EpigeneticsInternational Co-laboratory of Medical Epigenetics and Metabolism(Ministry of Science and Technology)Institutes of Biomedical SciencesBiosafety Level 3 LaboratoryShanghai Medical CollegeFudan UniversityShanghai 200032China CAS Key Laboratory of Infection and Immunity National Laboratory of MacromoleculesInstitute of BiophysicsChinese Academy of SciencesBeijing 100101China Experimental Immunology Branch Center for Cancer ResearchNational Cancer InstituteNational Institutes of HealthBethesdaMD 20892USA GSK Vaccines 1300 WavreBelgium

New threats posed by the emerging circulating variants of SARS-CoV-2 highlight the need to find conserved neutralizing epitopes for therapeutic antibodies and efficient vaccine ***,we identified a receptorbinding domain(RBD)-binding antibody,XG014,which potently neutralizesβ-coronavirus lineage B(β-CoV-B),including SARS-CoV-2,its circulating variants,SARSCoV and bat SARSr-CoV ***,antibody family members competing with XG014 binding show reduced levels of cross-reactivity and induce antibodydependent SARS-CoV-2 spike(S)protein-mediated cellcell fusion,suggesting a unique mode of recognition by *** analyses reveal that XG014 recognizes a conserved epitope outside the ACE2 binding site and completely locks RBD in the non-functional“down”conformation,while its family member XG005 directly competes with ACE2 binding and position the RBD“up”.Single administration of XG014 is effective in protection against and therapy of SARS-CoV-2 infection in *** findings suggest the potential to develop XG014 as pan-β-CoV-B therapeutics and the importance of the XG014 conserved antigenic epitope for designing broadly protective vaccines againstβ-CoV-B and newly emerging SARS-CoV-2 variants of concern.

关键词： SARS-CoV-2 neutralizing antibody receptor-binding domain XG014 antibody-dependent cellcell fusion

人车碰撞事故中行人伤亡风险的关联性分析与预测

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

华南理工大学学报（自然科学版） 2022年第5期50卷 1-10页

作者：兰凤崇张越陈吉清冯雨佳周云郊华南理工大学机械与汽车工程学院/广东省汽车工程重点实验室广东广州510640

为了研究人车碰撞事故中影响行人伤亡的因素,提出了基于聚类方法与BP神经网络的行人碰撞后伤亡风险预测模型。首先,以国家车辆事故深度调查体系(NAIS)数据库内2018—2019年间的372起人车碰撞事故数据为研究对象,对其进行统计分析,得到... 详细信息

为了研究人车碰撞事故中影响行人伤亡的因素,提出了基于聚类方法与BP神经网络的行人碰撞后伤亡风险预测模型。首先,以国家车辆事故深度调查体系(NAIS)数据库内2018—2019年间的372起人车碰撞事故数据为研究对象,对其进行统计分析,得到关于车辆、行人和碰撞状态3个维度的9项事故特征参数;然后,结合各事故特征特性,对连续特征值选用K均值聚类方法,对离散特征值选用层次聚类法,分析行人的伤亡风险与各特征参数间的关联性;最后,建立BP神经网络预测模型,根据事故特征预测行人伤亡情况。结果表明建立的行人伤亡风险预测模型的成功率为86%。

关键词：人车碰撞事故行人伤亡事故特征聚类分析伤亡预测 BP神经网络

Parallel Physics-Informed Neural Networks Method with Regularization Strategies for the Forward-Inverse Problems of the Variable Coefficient Modified KdV Equation

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Science & Complexity 2024年第2期37卷 511-544页

作者： zhou Huijuan School of Science Shanghai Maritime UniversityShanghai 201306China

This paper mainly introduces the parallel physics-informed neural networks(PPINNs)method with regularization strategies to solve the data-driven forward-inverse problems of the variable coefficient modified Korteweg-de Vries(VC-MKdV)*** the forward problem of the VC-MKdV equation,the authors use the traditional PINN method to obtain satisfactory data-driven soliton solutions and provide a detailed analysis of the impact of network width and depth on solving accuracy and ***,the author finds that the traditional PINN method outperforms the one with locally adaptive activation functions in solving the data-driven forward problems of the VC-MKdV *** for the data-driven inverse problem of the VC-MKdV equation,the author introduces a parallel neural networks to separately train the solution function and coefficient function,successfully addressing the function discovery problem of the VC-MKdV *** further enhance the network’s generalization ability and noise robustness,the author incorporates two regularization strategies into the *** amount of numerical experimental data in this paper demonstrates that the PPINNs method can effectively address the function discovery problem of the VC-MKdV equation,and the inclusion of appropriate regularization strategies in the PPINNs can improves its performance.

关键词： Data-driven forward-inverse problems parallel physics-informed neural networks regularization strategies variable coefficient modified KdV equation

同方期刊数据库

质子交换膜燃料电池五边形挡板流场结构优化与性能改进

在线全文

学校读者我要写书评

暂无评论

汽车工程 2023年第10期45卷 1862-1875页

作者：陈吉清曾常菁周云郊兰凤崇刘青山华南理工大学机械与汽车工程学院广州510640 华南理工大学广东省汽车工程重点实验室广州510640

为有效提高燃料电池(fuel cell,FC)的性能,提出一种在阴极处具有五边形挡板的新型流场(flow field,FF)设计。为了解五边形挡板的加入对FC内部传质过程的影响,开发了一个三维、多相、非等温稳态模型,将多孔层结构引起的各向异性传输性质... 详细信息

为有效提高燃料电池(fuel cell,FC)的性能,提出一种在阴极处具有五边形挡板的新型流场(flow field,FF)设计。为了解五边形挡板的加入对FC内部传质过程的影响,开发了一个三维、多相、非等温稳态模型,将多孔层结构引起的各向异性传输性质和催化层实际团聚体结构的非均质特性耦合到模型中,研究了挡板高度变化时FC性能的变化。结果表明,五边形挡板增强了流道的传质性能与气体分布均匀性。随着挡板高度增加,流道的传质性能、排水性能以及气体分布均匀性增加,高度100%(H100)的挡板由于与气体扩散层直接接触,堵塞了排水通道,因此其保水性能最好。在相对湿度为50%情况下,H100的FF结构具有最大的净功率密度,与原始FF(H0)相比,净功率密度增加17.778%。

关键词：质子交换膜燃料电池五边形挡板挡板高度各向异性催化层团聚体模型非等温

变幅频载荷下不同结构液阻衬套内特性的实测与计算分析

在线全文

学校读者我要写书评

暂无评论

振动与冲击 2023年第2期42卷 166-174页

作者：杨超峰周云郊黄翔龙李锋李有意刘霏霏华东交通大学机电与车辆工程学院南昌330013 安徽中鼎减震橡胶技术有限公司安徽宁国242300 华南理工大学机械与汽车工程学院广州510640 中国第一汽车集团有限公司研发总院长春130013

采用试验的方法,对不同结构式液阻衬套在不同振幅及不同频率下的静、动特性及内特性进行了测试。推导得到一个统一的可表征多惯性通道-多节流孔式液阻衬套的集总参数模型,对液阻衬套的动特性进行了描述。建立了统一的多惯性通道-多节流... 详细信息

采用试验的方法,对不同结构式液阻衬套在不同振幅及不同频率下的静、动特性及内特性进行了测试。推导得到一个统一的可表征多惯性通道-多节流孔式液阻衬套的集总参数模型,对液阻衬套的动特性进行了描述。建立了统一的多惯性通道-多节流孔式液阻衬套液体通道内流量响应及液室内压力波动的响应方程。采用直接流固耦合及不变特征点相结合的方法得到液阻衬套实物模型的计算参数,计算与测试结果对比验证了模型的正确性。对不同结构式液阻衬套在不同振幅及频率激振下的内特性进行了计算研究,并与理论推导结论及测试结果进行了对比分析,验证了计算分析的正确性。该计算方法可为液阻衬套的初期选型及设计开发提供直接参考。

关键词：液阻衬套集总参数模型内特性统一模型

Deep-reinforcement-learning-based UAV autonomous navigation and collision avoidance in unknown environments

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Aeronautics 2024年第3期37卷 237-257页

作者： Fei WANG Xiaoping ZHU zhou zhou Yang TANG School of Astronautics Northwestern Polytechnical UniversityXi’an 710072China School of Aeronautics Northwestern Polytechnical UniversityXi’an 710072China

In some military application scenarios,Unmanned Aerial Vehicles(UAVs)need to perform missions with the assistance of on-board cameras when radar is not available and communication is interrupted,which brings challenges for UAV autonomous navigation and collision *** this paper,an improved deep-reinforcement-learning algorithm,Deep Q-Network with a Faster R-CNN model and a Data Deposit Mechanism(FRDDM-DQN),is proposed.A Faster R-CNN model(FR)is introduced and optimized to obtain the ability to extract obstacle information from images,and a new replay memory Data Deposit Mechanism(DDM)is designed to train an agent with a better *** training,a two-part training approach is used to reduce the time spent on training as well as retraining when the scenario *** order to verify the performance of the proposed method,a series of experiments,including training experiments,test experiments,and typical episodes experiments,is conducted in a 3D simulation *** results show that the agent trained by the proposed FRDDM-DQN has the ability to navigate autonomously and avoid collisions,and performs better compared to the FRDQN,FR-DDQN,FR-Dueling DQN,YOLO-based YDDM-DQN,and original FR outputbased FR-ODQN.

关键词： Faster R-CNN model Replay memory Data Deposit Mechanism(DDM) Two-part training approach Image-based Autonomous Navigation and Collision Avoidance(ANCA) Unmanned Aerial Vehicle(UAV)