共查询到20条相似文献，搜索用时 338 毫秒
1.
首先分析了燃料电池汽车混合动力电驱动系统基本结构并给出了等效电路,建立了电驱动系统的动态数学模型,主要包括:燃料电池系统、动力蓄电池、电动机和DC/DC转换器四个模块。采用最小二乘法对模型的参数进行了估计,典型工况下的估计结果显示模型的准确性。其次根据设计目标要求,设计了主要部件的功率参数,并提出了适合不同工作模式的车辆控制策略。然后基于Simulink软件平台,建立了前向式仿真模型。最后进行仿真试验,其结果分析表明,建立的电驱动系统模型有较好的动力性、经济性和平顺性,为燃料电池汽车整车研究提供了仿真平台。 相似文献
2.
罗国荣 《北京工业职业技术学院学报》2021,20(3):12-18
为使无人驾驶汽车在公路环境中有效实现安全避障和行驶,提出一种基于雷达和视觉传感器融合的多目标车辆识别跟踪的方法.在无人驾驶汽车上部署6个高分辨率雷达传感器和2个视觉传感器,利用联合概率数据关联算法,将目标与雷达回波点迹进行关联,利用YOLOV2深度神经网络对视频序列中的图像进行对象识别和定位,并综合2种传感器,在时间和空间上进行标定,从而识别车道上的汽车,然后利用扩展卡尔曼滤波算法,跟踪被识别的车辆,最后应用MATLAB软件建模仿真.仿真结果验证:该方法能使无人驾驶汽车有效识别和跟踪公路上静止和移动的汽车目标,为无人驾驶汽车后继的决策规划控制提供了感知层信号. 相似文献
3.
黄石 《四川职业技术学院学报》2024,(1):150-155
与传统内燃机汽车相比,纯电动汽车在环保方面具有显著优势,大力发展电动汽车已经成为汽车产业发展主流趋势.以纯电动汽车自动变速器(Automated Mechanical Transmission, AMT)为研究对象,对其参数换挡协调控制进行了研究.按照控制参数的变化实现换挡,根据电动机特性和汽车行驶动力学方程,应用MATLAB/Simulink搭建车辆模型,进一步制定换挡控制策略,并对其进行仿真模拟验证.仿真结果表明,建立的仿真模型和设计的换挡规律是合理可行的. 相似文献
4.
5.
基于Adams-Matlab联合仿真的车辆地面相互作用研究(英文) 总被引：1，自引：0，他引：1
根据多体动力学在Adams环境中建立了某款工程车辆的模型,以汽车地面力学中Bekker承压模型和Jo-nasi剪切模型为基础建立了刚性轮和弹性轮模型以模拟轮胎地面接触,并将轮胎地面接触模型用S函数描述,以提高仿真运行速度和计算精度.最后借助Adams-Matlab联合仿真工具,对车辆与松软地面相互作用问题进行了仿真计算,研究了地面特性对车辆行驶平顺性的影响.仿真计算结果表明,同车辆行驶速度、路面不平度和载荷一样,地面土壤力学特性对车辆行驶平顺性也有重要影响.该联合仿真模型能将地面变形因素考虑到车辆平顺性分析中,为非公路车辆悬架优化设计提供了思路和研究基础. 相似文献
6.
研究目的:四轮独立驱动汽车四个车轮的电机转矩可以正、反向输出,有必要对其底盘集成控制系统进行针对性设计以保证各车轮间的协调运作。集成控制系统一般可以分为上层运动控制器和下层力分配器。对于运动控制器的设计,同类研究一般采用滑模控制方法来处理汽车运动的非线性特征,其中终端滑模控制因具有高的稳态精度和有限时间收敛的特点而成为研究热点。对于力分配器的设计,通常方法不能在保证运算效率的同时考虑到执行器的约束,从而很难应用于实际。本文采用终端滑模控制方法来设计运动控制器,通过分析驾驶员操作行为从而更好地追踪理想的车辆运动目标;并提出一种简单有效的转矩分配控制策略,通过考虑轮胎附着极限从而将运动总力分配至四个车轮上。创新要点:本文创新性地将终端滑模控制应用到底盘集成控制系统以实现车辆纵向、侧向及横摆运动的联合控制;本文提出了一种新颖的转矩分配控制策略,将复杂的有约束控制分配问题分解至若干个简单的无约束分配子问题。研究方法:本文采用分层式协调控制方案(图1),应用非奇异和全局快速终端滑模控制方法设计运动控制器,提出一种基于伪逆矩阵的有约束转矩分配策略,应用驾驶员最优预瞄加速度模型来描述和分析人-车闭环系统的运动响应,通过MATLAB/Simulink和CarSim的联合仿真对所设计的四轮独立驱动汽车转矩分配方法进行对比验证。所设定的三个仿真工况包括:开环方向盘角阶跃输入(图6、7及表2)、闭环双移线工况(图8–10)和闭环对开路面制动(图11–15),分别用以测试车辆横摆、侧向及纵向方向上的动力学响应。重要结论:本文提出的基于终端滑模控制的四轮独立驱动汽车转矩分配方法将车辆的稳态转向特性由不足转向转变为中性转向,驾驶员从而能更容易地操纵车辆而不需要对汽车的非线性响应做出额外的转向补偿。与此同时,该分配方法在不影响车辆侧向稳定性的前提下可以准确地响应驾驶员的加速/制动意图。仿真结果表明终端滑模控制器相比传统滑模控制方法在车辆纵向、侧向、横摆方向上的运动控制效果均有一定程度地提高,而有约束的力分配器更可以明显地提高车辆的操纵性和稳定性。综合评价表明,所提出的基于终端滑模控制的四轮独立驱动汽车转矩分配方法获得了最佳的控制性能,符合设计要求。 相似文献
7.
针对降低纯电驱动汽车能耗的问题,以纯电驱动汽车为对象,阐述了再生制动原理,指出再生制动技术对于电动汽车发展的必要性．介绍了再生制动技术,对电动汽车再生制动系统中的储能方式进行了分类与优缺点综述．针对不同电动汽车的运行工况,对再生制动进行了分类,分析了几种典型的再生制动控制策略和实现方法,以及每种控制策略对能量回收的利用率． 相似文献
8.
邱浩 《深圳职业技术学院学报》2006,5(4):14-17
以汽车半主动悬架为研究对象,建立了汽车二自由度1／4车体模型,提出了一种汽车半主动悬架的神经网络控制方法,设计了神经网络控制器,并利用MATLAB进行仿真。仿真结果表明,该神经网络控制器用于半主动悬架的车身加速度和车身重心高度位移控制是行之有效的。 相似文献
9.
利用多体动力学仿真软件ADAMS建立了车辆的模型,并对汽车进行了稳态回转试验和双移线试验的设计和仿真分析.依据仿真结果,对汽车的操纵稳定性做出了评价.结果表明,利用ADAMS软件可以对汽车的操纵稳定性进行精确的仿真试验,进而达到优化产品设计方案的目的. 相似文献
10.
11.
为克服UBI车险定价理论教学中学生在数据认知、处理和建模方面的实践欠缺,运用大数据与虚拟现实技术,开发设计基于驾驶行为的UBI车险定价虚拟仿真实验,为学生提供完整的驾驶风险评估和UBI车险实践平台。学生通过完成驾驶行为数据获取、UBI车险数据处理、风险建模和优化、车险经营模拟4个方面的实验内容,能够将UBI车险定价理论知识应用于实践操作,促进专业理论与实践操作的紧密融合。 相似文献
12.
As hybrid vehicles introduced the motor, the vehicle structure has a significant change in the power matching. Adriver-vehicle-road closed-loop semi-physical simulation system, which makes real driving parts together with the simulation car,will bring convenience to the new car design. We used the computer software to simulate the road with a slope, curve and someother features based on the actual road condition, and analyzed the whole road scene in addition to geometry and physicalcharacteristics. Analyzing and constructing the vehicle dynamics basic template, appropriate changes to the template can obtainthe desired vehicle dynamics model with an external device to control the model vehicle. It combined the physical operation system with visual display, which gave us real driving feelings and increased the vehicle design predictive accuracy. 相似文献
13.
高油价时代下的汽车节油技术 总被引：2，自引：0，他引：2
赵新 《北京城市学院学报》2006,(3):92-94
在油价节节攀升的时代,节油技术显得越来越重要。本文分析与研究了汽车结构及汽车使用对燃油经济性两方面的影响因素,提出了实现汽车节油最有效的方法是驾驶者保持良好的驾驶习惯,掌握正确的使用方法。 相似文献
14.
To fully take advantage of external charging conditions and reduce fuel consumption for extended-range electric vehicles, a charging management-based intelligent control strategy is proposed. The intelligent control strategy is applied to different driving patterns based on the various characteristics of urban roads. When the vehicle is driving on arterial roads, a constant power control strategy is applied. When the driver decides to go to a charging station, the extender-off time can be determined based on the current state of the vehicle and the distance to the charging station. When the vehicle is driving on an expressway, a power follower control strategy is applied. The range-extender engine is controlled to work over a wide variety of regions to obtain optimum fuel economy. The simulation results indicate that as the vehicle arrives at the charging station, the proposed charging management-based intelligent control strategy has made the state of charge reach the lowest permissible level after the driver made the decision to charge at the charging station. Therefore, the driver can charge the vehicle with as much clean electric energy as possible from the charging station. 相似文献
15.
For automated vehicles,comfortable driving will improve passengers’ satisfaction.Reducing fuel consumption brings economic profits for car owners,decreases the impact on the environment and increases energy sustainability.In addition to comfort and fuel-economy,automated vehicles also have the basic requirements of safety and car-following.For this purpose,an adaptive cruise control (ACC) algorithm with multi-objectives is proposed based on a model predictive control (MPC) framework.In the proposed ACC algorithm,safety is guaranteed by constraining the inter-distance within a safe range; the requirements of comfort and car-following are considered to be the performance criteria and some optimal reference trajectories are introduced to increase fuel-economy.The performances of the proposed ACC algorithm are simulated and analyzed in five representative traffic scenarios and multiple experiments.The results show that not only are safety and car-following objectives satisfied,but also driving comfort and fuel-economy are improved significantly. 相似文献
16.
A K Shukla 《Resonance》2001,6(11):49-62
Road transportation as an important requirement of modern society is presently faced with restrictions in mainly two respects,
namely the ever tightening emission legislation as well as the availability of petroleum fuels, and as a consequence the fuel
cost. But in any review of power sources for future road transport vehicles, the performance of the existing internal combustion
engine is likely to be the yardstick against which other power sources will be compared. The power sources most likely to
provide favourable comparison are those, which can display comparable range and speed, long and reliable life and manufactured
at a cost comparable to petrol engine. A vehicle which fails in any of these requirements is unlikely to achieve anything
but a niche market share. This article is an appraisal of a variety of proposed electrochemical systems, viz. rechargeable
batteries, fuel cells and supercapacitors, for an electric car. It is surmised that a viable electric car could be powered
with a fuel cell to provide power for cruising and climbing coupled in parallel with a supercapacitor/battery bank to deliver
additional short-term burst-power during acceleration.
A K Shukla is a Professor at the Solid State and Structural Chemistry Unit, Indian Institute of Science, Bangalore. His current
research interests are in materials electrochemistry with special emphasis on batteries, fuel cells and supercapacitors. 相似文献
17.
18.
19.
This paper presents a control strategy of a hybrid fuel cell/battery distributed generation （HDG） system in distribution systems. The overall structure of the HDG system is given, dynamic models for the solid oxide fuel cell （SOFC） power plant, battery bank and its power electronic interfacing are briefly described, and controller design methodologies for the power conditioning units and fuel cell to control the power flow from the hybrid power plant to the utility grid are presented. To distribute the power between the fuel cell power plant and the battery energy storage, a neuro-fuzzy controller has been developed. Also, for controlling the active and reactive power independently in distribution systems, the current control strategy based on two fuzzy logic controllers has been presented. A Matlab/Simulink simulation model is developed for the HDG system by combining the individual component models and their controllers. Simulation results show the overall system performance including load-following and power management of the HDG system. 相似文献
20.