In recent years, active noise reduction technology has become a research hotspot. However, most active noise reduction technologies are developed based on passenger vehicles and are not implemented in large commercial vehicles. The large commercial vehicle sound field space is large, the traditional active noise reduction method is difficult to implement. In order to explore this problem, this paper proposes an improved active noise control method for commercial vehicles :(1) based on the traditional notch filter, a notch FxLMS algorithm based on speed smoothing is proposed; (2) On the basis of the traditional wire-narrowband hybrid ANC algorithm, the reference signal weighting technology is introduced into the wide-band subsystem, and the notch FxLMS algorithm based on speed smoothing is used as the narrowband subsystem, so as to propose an improved wire-narrowband hybrid ANC algorithm. With the help of MATLAB, the simulation model of the designed algorithm is established, and the collected commercial vehicle test noise data is used as the reference signal to simulate and verify the proposed algorithm. The results show that the proposed method has certain practicability.

To accurately predict the dynamic characteristics of MR mounting, the nonlinear electromagnetic coupling law between MR liquid and soft magnetic material and the solid-liquid interaction, the electromagnetic coupling and fluid-structure coupling mathematical models and numerical simulation models of MR mounting are established. Through the magnetorheological mounting test, the simulation results are compared with the experimental results, and the validity of the numerical simulation model is verified. On this basis, the distribution effect of electromagnetic coupling in a magnetic circuit is analyzed. According to the Bingham model, the variation rule of magnetorheological fluid damping force was deduced. The magnetic field simulation results are introduced into the fluid model and the fluid-solid model, and the fluid-solid coupling effect of the numerical model of magnetorheological mounting is calculated. The dynamic and static characteristics of magnetorheological mounting under different current excitation conditions are simulated. It provides the basis for designing and simulating multi-physical field simulation of MR mounting.

The battery thermal management system is critical for the lifespan and safety of lithium-ion batteries. This study presents the design of a liquid cooling system with asymmetric flow channels. To achieve optimal overall performance, a comprehensive multi-objective optimization framework is proposed to optimize the system parameters. The numerical model of the liquid cooling system is developed and validated. The ranges of the optimization variables are determined through the single-factor analysis. The errors of the RSM, Kriging and RBF surrogate models are compared, and the RSM surrogate model is selected due to highest accuracy. The global sensitivity analysis is performed using the Sobol method to identify the optimization variables that significantly affect the system performance. With the maximum temperature (Tmax), maximum temperature difference (Delta Tmax), and pressure drop (Delta p) as optimization objectives, the mass flow rate (Vc), channel length (l), and coolant temperature (Tc) as optimization variables, the multi-objective optimization function is established, and the NSGA-II algorithm is employed to solve the function. Three distinct weighting strategies is carried out to explore the effect of different weight combinations on the optimization results, including sole weight, equal weight, and entropy weight. The TOPSIS and LINMAP methods are employed to select the optimal solution from the Pareto front. The results show that both the entropy weight-TOPSIS and entropy weight-LINMAP methods achieved the same effect. Compared with the initial design, the optimal design reduces the Tmax, Delta Tmax and Delta p by 5.90 %, -0.78 % and 7.20 % respectively. The multi-objective optimization framework proposed in this study could provide a reference for the battery thermal management system and other fields.

AbstractA novel framework for adaptive energy management, rooted in deep learning principles, is proposed to minimize fuel consumption in extended‐range electric vehicles amidst intricate driving scenarios. This innovative approach integrates a long short‐term memory (LSTM) network for pattern recognition across three driving patterns and an adaptive fuzzy controller. To mitigate the impact of poor hyperparameter selection on recognition accuracy, Gray Wolf Optimization is employed to optimize the hidden layer nodes, training times, and learning rate of the LSTM. Simultaneously, a genetic algorithm is utilized to optimize the vertex coordinates of the fuzzy control membership function, enabling the adaptive adjustment of parameters in the fuzzy energy management strategy. The condition recognition model accurately identifies the vehicle's driving status and seamlessly transitions to an energy management strategy tailored to the present conditions. This ensures optimal operation, enhancing overall fuel efficiency and performance. The simulation results robustly validate the efficacy of this approach: the GWO‐LSTM network achieves an impressive 97.7% accuracy in recognizing working conditions, surpassing the 88.9% accuracy of the traditional LSTM network. Furthermore, the fuel consumption reduction achieved by the adaptive fuzzy energy management strategy amounts to 11.9% compared with the conventional fuzzy energy management approach. This outcome underscores the tangible enhancement in vehicle fuel economy resulting from the seamless integration of deep learning techniques.

Abstract Hydrocarbon fuel as a class of petroleum derived fuels is an essential component of energy resources, and its main application is releasing energy through spray combustion. The evaporation and combustion of fuel droplet serve as the basis for spray combustion. The evaporation and combustion of the fuel spray inside the combustion chamber of direct injection diesel and gasoline engine, gas turbine and liquid-propellant rocket take place at supercritical pressure (ambient pressure is larger than the critical pressure of fuel). Accordingly, the study on the combustion of hydrocarbon fuel droplets is extremely necessary. The objectives of this paper are to theoretically provide a novelty explanation for the physical scenario that the combustion of fuel droplets in supercritical pressure environment result in the evaporation of the droplets instantly, and establish theoretical foundation for the study on the fuel droplet evaporation and combustion that take place after the transition of droplet surface respectively. This study used the equations of mass conservation, component conservation, and energy conservation to describe the physical process of gas phase and liquid phase in droplet combustion, which can be applied to establish the uniform description of the physical process of transition between gas and liquid within large density range. This paper introduces the concept of vapor-liquid equilibrium, mixture critical point and evaporation enthalpy for the heat and mass exchange of droplet surface. In our study the physical process around the transition of droplet surface is thoroughly analyzed as well. This study focuses on developing a numerical model and program for the combustion and evaporation of hydrocarbon fuel droplets. The model was validated by comparison with the data from experiment.

Abstract Hydrocarbon fuel as a class of petroleum derived fuels is an essential component of energy resources, and its main application is releasing energy through spray combustion. The evaporation and combustion of fuel droplet serve as the basis for spray combustion. The evaporation and combustion of the fuel spray inside the combustion chamber of direct injection diesel and gasoline engine, gas turbine and liquid-propellant rocket take place at supercritical pressure (ambient pressure is larger than the critical pressure of fuel). Accordingly, the study on the combustion of hydrocarbon fuel droplets is extremely necessary. The objectives of this paper are to theoretically provide a novelty explanation for the physical scenario that the combustion of fuel droplets in supercritical pressure environment result in the evaporation of the droplets instantly, and establish theoretical foundation for the study on the fuel droplet evaporation and combustion that take place after the transition of droplet surface respectively. This study used the equations of mass conservation, component conservation, and energy conservation to describe the physical process of gas phase and liquid phase in droplet combustion, which can be applied to establish the uniform description of the physical process of transition between gas and liquid within large density range. This paper introduces the concept of vapor-liquid equilibrium, mixture critical point and evaporation enthalpy for the heat and mass exchange of droplet surface. In our study the physical process around the transition of droplet surface is thoroughly analyzed as well. This study focuses on developing a numerical model and program for the combustion and evaporation of hydrocarbon fuel droplets. The model was validated by comparison with the data from experiment.

将专业教育和思政育人深度融合是落实“立德树人”教育根本任务的重要举措。本文根据电动汽车结构与原理课程的特点和教学内容，重新修订了课程教学目标，深入挖掘本课程的思政元素，分析了思政育人点与专业知识点的衔接、切入总体思路，并探究了不同思政育人点采用的教学组织形式，为新能源汽车专业课程的“课程思政”建设提供参考。

Since the connection method at the boundary of the hybrid FE-SEA (finite element-statistical energy analysis, FE-SEA) model affects the overall calculation accuracy of the model, the missing or inaccurate connection relation will lead to a large error in the model calculation. In order to effectively solve the calculation error caused by the connection problem of hybrid FE-SEA model, this paper starts from the modeling methods and connection relations of "hybrid-point" connection, "hybrid-line" connection and "hybrid-surface" connection. In order to solve the modeling method and correction problems of the "hybrid-point" connection in the hybrid FE-SEA model, the "out-of-plane" wave motion equation at the "hybrid-point" connection was established by using the superposition principle of plane waveforms in polar coordinate system. The "hybrid-point" connection and wave-number relation in Cartesian coordinate system are studied. The radiation radius correction method of "hybrid-point" connection is proposed. An example is given to verify the effectiveness of the method. In order to solve the modeling and correction problem of "hybrid-line" in hybrid model, a "hybrid-line" connected triangular waveform function model was established by using the method of linear difference. The direct field dynamic stiffness matrix of "hybrid-line" connection in node coordinate system is studied. According to the shape function of the "hybrid-line" connection wavenumber space, a method to correct the shape function of the "hybrid-line" connection is proposed, and the validity of the method is verified.

将专业知识教育与思政教育有机融合是当前高等教育的一项重要要求.本文根据汽车试验学的课程教学目标,分析了思政育人点与课程知识点的衔接及切入思路,探讨了汽车试验学课程思政的教学组织与实施方法,为提高汽车试验学的课程思政育人效果提供思路.

电动汽车高压线束电缆与端子之间的连接品质对高压电气系统的安全可靠运行有着重要影响,目前常用的连接方式主要有压接与焊接两种.文章首先从阐述电动汽车高压线束的主要性能要求入手,然后对超声波焊接工艺、压接工艺的主要特点和工艺参数进行分析,并选用35mm2的线束电缆分别进行超声波焊接试验和压接试验,测试两种连接方式的连接强度、连接电阻和电压降,最后通过试验结果证明超声波焊接工艺确实能够保证高压线束的可靠性.

当前电动汽车已成为行业的重要发展方向.在单一能量源不能满足发展需求的情况下,复合储能系统对于改善电动汽车动力电池性能、延长续驶里程、提高整车动力性和经济性的优势更为突出.合理进行功率分配成为复合储能系统研究发展的重心之一,文章对复合储能系统的能量管理策略进行分析概述,总结不同能量管理策略的研究进展,重点分析三种经典控制策略下的功率分配案例,最后对电动汽车复合储能系统的能量管理策略进行总结并讨论未来的发展方向.

针对燃料电池汽车能量管理策略在复杂工况下适应性较差的问题,提出一种融合反向传播(BP)神经网络工况识别的自适应模糊能量管理策略.选取中国乘用车行驶工况(CLTC-P)作为样本工况,以最高速度、平均速度、怠速时间比为特征参数,建立BP神经网络工况识别模型.制定3 种典型工况下的模糊能量管理策略,使用遗传算法对模糊策略参数进行离线优化,运用BP神经网络在线识别工况并选取相适应的策略参数.仿真结果显示:与基于规则的策略和有工况识别的模糊控制策略相比,工况自适应模糊能量管理策略分别使整车的等效氢气消耗量降低6.87%和3.41%,表明所提策略能够有效识别随机工况,改善策略适应性,进一步提高整车经济性.

为培养学生的实践创新能力、提高应用型创新人才培养质量,结合襄阳本地区域产业特点,提出了构建完整产业链的校内校外实践基地、打造校企联合的混合型师资团队、实现从大一到大四的全过程全周期创新训练、搭建多维度全覆盖的实践创新能力培养平台,全面推进全过程、全产业链、全覆盖的应用型车辆工程专业实践创新教学体系构建.

锂离子电池是电动汽车的关键部件之一,电池组作为电动汽车的供能部分,对整车性能起到决定性作用.本文首先剖析了电池一致性的产生机理及其表现形式.其次,针对锂离子电池安全性、使用寿命以及容量衰减等方面的问题,从电池不一致性评价方法和改善不一致性的措施展开分析.电池不一致性评价方法主要有单参数评价、多参数评价、动态特性评价的一致性评价方法.改善不一致性的措施主要有提高制造工艺和改进原材料水平,保证单体电池出厂时的一致性;电池成组使用前对电池进行选配,以减小单体电池初始差异;利用均衡技术减小各电池单体间的能量差异,进而提高电池组的一致性;利用电池热管理技术降低温度对电池一致性的影响,进而提高电池的使用寿命.最后,对改善一致性的措施进行了展望.

在教学中采用合作学习已经成为教学改革的主要方向之一,有效的合作学习可以提升高校课堂教学质量,提升学生满意度.文章分析了合作学习的社会需求和理论基础,学校和教师已不再是知识的垄断者,需要转变思路,探索新的教学方式以适应时代发展需求,合作学习也更能激发学习者的学习兴趣,促进学习.根据合作学习的五个基本要素,笔者提出由分组、问题、个人思考、小组讨论、展示、评价六个环节组成的合作学习方式,在"单片机原理及应用"课程中实施,取得了良好的教学效果.

文章阐述了车辆工程专业应用型人才培养模式改革的背景和目的,针对车辆工程专业在应用型人才培养方面所存在的问题,重点介绍了湖北文理学院车辆工程专业在应用型人才培养模式改革和创新方面的举措以及所取得的成效,可为地方本科院校进行应用型人才培养模式改革提供一定的借鉴和参考.

在工程教育专业认证背景下,学校应紧跟工程教育发展的新趋势和新动向,培养一批专业基础扎实、实践能力突出、科研思维灵活、能够解决复杂工程问题的高素质人才.文章以汽车测试技术课程为例,以培养学生分析解决复杂工程问题的能力为导向,从教学内容优化、实践能力培养、考核方式改革等多个方面探讨课程优化改革问题,为其他课程改革提供借鉴意义.

In this paper, the influence of E-glass fiber volume fraction and laying angle on the damping and strength of composite laminates was comprehensively analyzed. By increasing the fiber laying angle and reducing the glass fiber volume fraction, the damping capacity of the composite laminate was increased, but the tensile strength of the laminate was reduced; By reducing the fiber laying angle and increasing the glass fiber volume fraction, the tensile strength of the composite laminate was increased, but the damping characteristics of the laminate was reduced. In addition, in the damping experiment of composite laminates, in order to avoid the influence of external damping sources, the vacuum non-contact damping test method was adopted in this paper, and the influence of air damping on the damping experiment results of composite laminates was comparatively analyzed. The results of comparative experiments showed that air damping had a very obvious influence on the damping of composite laminates, especially when the damping of composite laminates was small, the influence of air damping would be greater.

为增强IGBT模块的冷却效果,以某IGBT模块为研究对象,在常规形散热针柱的基础上设计了圆环形散热针柱和螺旋形散热针柱.对3种散热针柱下的IGBT模块结温分别进行理论计算,并利用有限元分析软件STAR-CCM+对3种散热针柱下的IGBT模块进行仿真模拟.对比分析3种模型的温度场、压力场及速度场,结果表明:3种模型的理论计算结果和仿真计算结果之间的误差均小于5％;最优的螺旋形散热针柱下的IGBT模块在针柱高度为11 mm、针柱直径为2.5 mm以及水流流量为12 L/min时,散热能力表现最佳.

如何在专业课程中做到全程全方位育人,落实立德树人这一教学中心环节,文章通过构建一个思想政治为主线,挖掘汽车测试技术相关正能量的人和事,通过工程化案例教学、课程群及教学团队、企业实践思政课堂、课程思政考评等具体项目实施,着力培养学生的实践和创新两个能力,形成课程理论、实践、思政教育三位一体的《汽车测试技术》课程思政育人机制.