A Shifting Strategy for Electric Commercial Vehicles Considering Mass and Gradient Estimation

The extended Kalman filter (EKF) algorithm and acceleration sensor measurements were used to identify vehiclemass and road gradient in the work. Four different states of fixed mass, variable mass, fixed slope and variableslope were set to simulate real-time working conditions, respectively. A comprehensive electric commercial vehicleshifting strategy was formulated according to the identification results. The co-simulation results showed that,compared with the recursive least square (RLS) algorithm, the proposed algorithm could identify the real-timevehicle mass and road gradient quickly and accurately. The comprehensive shifting strategy formulated had thefollowing advantages, e.g., avoiding frequent shifting of vehicles up the hill, making full use ofmotor braking downthe hill, and improving the overall performance of vehicles.

The Correlation Study between Thinking Styles and English-Speaking Learning Strategies of Junior School Students under the Background of “Double Reduction” Policy

Based on Cognitive Style Theory,Oxford’s Speaking Learning Theory and Communicative Competence Theory,this paper adopts questionnaire method,uses Sternberg’s Thinking Style Inventory modified by Zhang Lifang,as well as Oxford’s Learning Strategies Scale,and combines with the actual situation of junior high school students’oral learning to design the questionnaire of speaking learning strategies.Eighth graders of a junior middle school in Sichuan Province are randomly selected as the research object.The statistical tool SPSS23.0 is used to conduct the descriptive analysis and Pearson correlation analysis of the questionnaire results to explore the overall situation of junior high school students’thinking styles and the use of English-speaking learning strategies as well as their correlation.According to the research,junior high school students generally tend to executive style,liberal style,conservative style,legislative style,hierarchic style.The use of speaking learning strategies is at an average level.They tend to use memory speaking strategies,social speaking strategies,affective speaking strategies,and cognitive speaking strategies.As a whole,there is a relatively significant correlation between thinking styles and speaking learning strategies.Specifically,there is a partial correlation between thinking styles and speaking learning strategies.

Shifting Rule Modification Strategy of Automatic Transmission Based on Driver-vehicle-road Environment

Accidental or frequent shift often occurs when the shifting rule is built based on traditional two parameters （i.e., velocity and throttle）, because the speed of engine varies slower than change of throttle opening. Currently, modifying shift point velocity value or throttle by throttle change rate is one of common methods, but the results are not so satisfactory in some working condition such as uphill. The reason is that these methods merely consider throttle change rate which is not enough for a car driving in driver-vehicle-road environment system. So a novel fuzzy control modification strategy is proposed to avoid or reduce those abnormal shift actions. It can adjust shifting rule by the change rate of throttle, current gear position and road environment information, while different gear position and driving environment get corresponding modification value. In order to compare the results of shifting actions, fuel consumption and braking distance, emergent braking in level road and extra-urban driving cycle（EUDC） working conditions with fuzzy shifting schedule modification strategy are simulated digitally. Furthermore, a hardware-in-the-loop simulation platform is introduced to verify its effect in slope road condition according to the ON/OFF numbers of solenoid valve in hydraulic system. The simulation results show that the problem of unexpected shift in those working conditions may be resolved by fuzzy modification strategy. At last, it is concluded that although there is some slight decline in power performance in uphill situation, this fuzzy modification strategy could correctly identify slope of road, decrease braking distance, improve vehicle comfort and fuel economy effectively and prolong the life of clutch system. So, this fuzzy logic shifting strategy provides important references for vehicle intelligent shifting schedule.

VEHICLE SIMULATION MODEL FOR DEVELOPING AN INTELLIGENT SLOPE SHIFT STRATEGY

With the rapid development of electronics and the growing demand for highervehicle performance, intelligent shift technology is becoming increasingly important, and itpromises to be a developing trend in vehicle automatic transmissions, A new simulation model ispresented, which includes engine, powertrain, tire and vehicle dynamics models. Based on the model,simulation experiments are conducted to investigate the slope shift strategy. The data andconclusions obtained from the simulations are valuable contributions to the development of anintelligent slope shift strategy.

基于Double Deep Q Network的无人机隐蔽接敌策略

基于深度强化学习的连续状态空间无人机隐蔽接敌问题,提出了基于马尔可夫决策过程的隐蔽接敌双深度Q网络(DDQN)方法。利用DDQN生成目标值函数的方法解决了传统DQN的过拟合问题;采用按优先级随机抽样的方法获取训练样本,加速了神经网络的训练速度;设定贪婪系数按照指数下降的方法,解决了传统强化学习的“探索利用窘境”;在势函数奖赏函数设计中引入角度因子,使其更加符合实际作战情况。仿真实验结果表明,DDQN具有较好的收敛性,能有效生成隐蔽接敌策略。

Double图的Kirchhoff指标

一个图的Kirchhoff指标定义为Kf(G)=∑ni=1∑nj=1rij/2,其中rij是顶点vi和vj之间的电阻距离.首先得到了一个图的Kirchhoff指标与其double图的Kirchhoff指标之间的关系式,然后利用此关系式分别确定了具有前三大和前三小Kirchhoff指标的double树.

Simulation-based multi-objective optimization for roll shifting strategy in hot strip mill

A simulation-based multi-objective optimization approach for roll shifting strategy in hot strip mills was presented. Firstly, the effect of roll shifting strategy on wear contour was investigated by numerical simulation, and two evaluation indexes including edge smoothness and body smoothness of wear contours were introduced. Secondly, the edge smoothness average and body smoothness average of all the strips in a rolling campaign were selected as objective functions, and shifting control parameters as decision variables, the multi-objective method of MODE/D as the optimizer, and then a simulation-based multi-objective optimization model for roll shifting strategy was built. The experimental result shows that MODE/D can obtain a good Pareto-optimal front, which suggests a series of alternative solutions to roll shifting strategy. Moreover, the conflicting relationship between two objectives can also be found, which indicates another advantage of multi-objective optimization. Finally, industrial test confirms the feasibility of the multi-objective approach for roll shifting strategy, and it can improve strip profile and extend same width rolling miles of a rolling campaign from 35 km to 70 km.

Multi-objective optimization for roll shifting strategy in cross rolling campaigns of hot strip mill

A multi-objective optimization approach for the roll shifting strategy in cross rolling campaigns of hot strip mills is presented. The effect of different roll shifting strategies on roll wear contour is studied by numerical simulation, and two evaluation indexes ,namely body smoothness and edge smoothness, are proposed. The average body smoothness and average rolling edge smoothness of all strips in a rolling campaign are taken as the objective functions, the shifting positions of all wide strips as the decision variables, and the multi-objective method of NSGA-II as the optimizer. Thus a multi-objective optimization model for the roll shifting strategy is built. The simulation results show that work roll shifting can make wear contour smooth,and a dish-shaped wear contour without severe local wear can be achieved by the roll shifting strategy with varying stroke. Optimization experimentation shows that by means of NSGA-II,a good Pareto-optimal front can be obtained, which suggests a series of alternative solutions for roll shifting strategy optimization. The experimentation also shows that there is a conflict between the two objectives. Finally, application cases confirm the feasibility of the multi-objective approach, which can improve the strip profile ,reduce edge waves and extend the rolling miles of a rolling campaign.

Dynamic Self-Adaptive Double Population Particle Swarm Optimization Algorithm Based on Lorenz Equation

In order to improve some shortcomings of the standard particle swarm optimization algorithm, such as premature convergence and slow local search speed, a double population particle swarm optimization algorithm based on Lorenz equation and dynamic self-adaptive strategy is proposed. Chaotic sequences produced by Lorenz equation are used to tune the acceleration coefficients for the balance between exploration and exploitation, the dynamic self-adaptive inertia weight factor is used to accelerate the converging speed, and the double population purposes to enhance convergence accuracy. The experiment was carried out with four multi-objective test functions compared with two classical multi-objective algorithms, non-dominated sorting genetic algorithm and multi-objective particle swarm optimization algorithm. The results show that the proposed algorithm has excellent performance with faster convergence rate and strong ability to jump out of local optimum, could use to solve many optimization problems.

Quantization of the double-qubit structure and quantum computation

The quantization scheme of a double-qubit structure with superconducting quantum interference devices （SQUIDs） is given. By introducing unitary matrices and using spectral decompositions, the Hamiltonian operator of the system is exactly formulated in compact forms in spin-1/2 notation. A scheme of designing controlled-phase-shift （CPS） gates is also proposed by using this circuit system.

Photon-photon interactions with inner coupled double-cavity

This paper describes the interaction between two spatial modes of the optical fields with a single atom trapped inner coupled double-cavity. Theoretical derivation and numerical simulation with the experimental available parameters show that photon-photon switching and π phase shift of single photons may be achieved with current experimental technology. As the probe and control fields are in different spatial modes, the system is superior for implementing cavity QED-based photonic quantum networks.

Thoughts on the Management of Personnel Files in Higher Vocational Colleges in the Context of“Double High Plan”

Starting from the background of the"Double High Plan"in conjunction with the role of personnel file management in advancing the"Double High Plan",this paper analyzes the current status of personnel file management in higher vocational colleges and the necessity of personnel management in higher vocational colleges,and explores the effective measures to strengthen the informatization of personnel files management to make it more reasonable,standardized and informatized.

水土保持碳汇研究进展与趋势

结合我国实现碳达峰碳中和目标的现实需求,强调人的“工作”在碳汇实现方面的作用,提出水土保持碳汇概念、内涵等。分析水土保持碳汇的机理探索与核算方法,并结合水土保持工程措施、林草措施、农耕措施等措施与碳汇之间的关系,介绍水土保持碳汇研究进展,探讨其未来发展趋势。

教育治理现代化视域下高校“双肩挑”制度的设置依据、运行困境与优化策略

在高校人力资源优化配置中,“双肩挑”制度设置具有一定的理论与现实依据,其有利于优化人才选拔与队伍结构、降低管理与用人成本、提升教学与管理质量、克服行政意识和官僚作风、促进不同类型人员职业发展,但同时也面临着角色定位、时间冲突、岗位设置、资源配置、激励不足等现实困境。“双肩挑”制度的优化首先需要合理设置高校“双肩挑”岗位、科学制定“双肩挑”岗位目标以及有效匹配“双肩挑”岗位教师,同时在制度运行中重视对“双肩挑”干部的选拔和培育、建立合理的“双肩挑”干部考评机制、完善“双肩挑”干部的任期与转换制度和健全对“双肩挑”干部的激励机制。

“双一流”建设背景下研究生学风建设的价值意蕴、现实困境与策略探赜

研究生是建设新时代科技强国与创新型国家的重要后备力量,学风建设成效直接决定着研究生培养质量。推进研究生学风建设是培养高素质人力资源战略的根本保障、建设创新型科技智造国家的必然要求、加快建设我国“双一流”高校与学科的先决条件、推进改革性培养方案重构的力量支撑和预防研究生学术道德失范的思想疫苗。然而当前研究生学风建设依然存在诸多现实困境,导致研究生学风建设现状依然不容乐观,通过完善招考制度与培养方案、加强思想政治教育工作、强化导师师德师风、规范学风建设制度和营造良好学术氛围等策略构建多维度的学风建设长效机制,有望提升研究生培养质量。

基于部分能量耦合线圈的无线能量与信号同步传输方法研究

针对无线电能传输系统中能量发送端与接收端进行全双工通信的需求,提出一种基于部分能量耦合线圈的无线能量与信号同步传输方法。利用能量耦合线圈的内侧和外侧部分线圈分别作为信号正反向传输耦合机构,并在信号接收回路中采用LC并联支路抑制同侧信号载波的串扰。通过构建系统模型,分析能量传输与信号传输的增益以及系统传输干扰,得到系统参数对传输特性影响规律。为提高信号传输增益以及减小信号正反向传输之间的串扰,优化了耦合机构线圈布置方案。最后,搭建了传输功率为20 W的无线能量与信号全双工同步传输平台,实验结果表明,在电能传输不受影响的同时,实现了正向传输速率200 kbps、反向传输速率400 kbps的信号全双工同步传输,验证了所提方法的可靠性和有效性。

基于功率转速双闭环的增程器发电功率动态控制策略

针对电动汽车内燃发电增程器发电功率动态控制存在的控制精度不高、响应滞后和反向超调等问题,提出并设计了一种结合功率/转速双闭环的增程器发电功率动态控制策略。该策略基于高效运行曲线进行发电功率的转矩/转速解耦,同时考虑了基于实际发电功率反馈的内燃机目标发电转矩修正、发电转矩转速动态协调修正。变工况发电试验结果表明,增程器发电过程中的发电功率最大正向超调为1.37 kW,最大反向超调为1.89 kW,稳态误差均小于0.01 kW,功率上升响应时间约为2.5 s,功率下降响应时间约为2.8 s,且工作点均在高效运行曲线附近。该增程器发电功率动态控制策略能够减少瞬态发电功率的响应滞后和反向超调的问题,在工程实践中具备可行性。

“双高”背景下增强职业教育适应性的价值意蕴与行动方略

“双高”建设与增强职业教育适应性具有高度一致性,二者均聚焦培养“人”、聚心厚植“德”、聚合整生“链”。在“双高”背景下,增强职业教育适应性既是推动职业教育现代化发展的内在需求,又是实现经济高质量发展的时代要求,更是加快人才强国建设进程的根本诉求。面向“双高”建设内容,职业院校应坚持类型特色,打造现代化职业教育体系;创新发展理念,形塑开放化职业教育办学模式;疏通文化堵点,优化校企合作办学模式,稳步增强职业教育适应性。

“双一流”战略背景下财经类高校研究生培养体系构建研究——以浙江工商大学为例

培养高质量研究生人才是“双一流”战略的核心要点之一,为推动研究生教育向内涵式发展转变,亟待重新审视研究生培养体系的构建。“学校-学院-导师”的传统三级研究生培养体系在保障财经类高校研究生整体培养质量方面往往有乏力之感。该文借鉴理工科高校采用团队式研究生培养模式的经验,将财经类高校研究生培养与学科团队建设结合起来,提出构建“学校-学院-研究所-导师”新的四级研究生培养体系,并以浙江工商大学研究生培养实践为例,阐述其主要举措、实施效果和研究启示,强调学院整体把控和研究所协同管理的重要作用。上述探索期望能为财经类高校提升研究生培养质量提供借鉴与参考。

“双碳”战略下物流工程专业建设内涵与路径

物流是交通业的碳排放大户,“双碳”战略对物流工程专业建设及其人才培养提出新的要求。该文从“双碳”战略下的物流工程专业建设需求入手,提出物流工程专业需要从教育创新发展、教学资源铸造、教师动能激发和学生认知培育等方面进行内涵式建设,梳理“学校顶层统领、学院资源构筑、教师素养培育、学生理念厚植”的建设路径,期望为武汉理工大学物流工程国家一流专业的持续发展提供新思路和新动能。