智能四驱与其它四驱系统的仿真比较

通过对各种四轮驱动系统的的分析,说明智能四驱系统是将来的发展方向。在ADAMS/View里建立整车模型和动力控制系统,完成对各种四驱系统的仿真,并对仿真结果作了比较,证明了智能四驱系统的优越性。     

双转子电机驱动系统对电动汽车操纵稳定性的影响研究

对电动汽车用双转子电机驱动系统进行简化建模,利用8自由度整车模型,通过仿真高速加速工况和低速加速工况,针对前驱和后驱车型双转子电机中内、外转子转动惯量不均衡对整车操纵稳定性的影响进行了分析。提出利用交叉四驱方式减少此种转动惯量不均衡造成的不良影响。仿真分析表明,四驱车型较前驱和后驱车型侧向稳定性显著提高。     

某电动SUV后扰流板气动特性的研究

汽车在高速行驶中的经济性和稳定性与汽车受到的空气阻力和升力直接相关。与传统燃油车相比,降低风阻对于电动汽车提升续航里程和降低能耗更加重要。本文中采用雷诺时均方法对某款纯电动SUV车型进行在120 km/h车速下整车外流场仿真分析,并将风阻系数和升力系数与等比例油泥模型风洞试验的结果进行了对比。采用常用的Realizable k-ε湍流模型对该SUV车型后扰流板进行仿真优化。研究了该SUV的后扰流板上表面不同倾斜角度对整车气动升力和阻力系数的影响;进一步,在最佳倾角的基础上,通过5种后扰流板通孔形式的对比分析,确定了最优状态的后扰流板。最终的验证试验结果表明,整车风阻系数降低3.9%,而升力系数的增加在可接受范围内。     

斯巴鲁 森林人 都市跨界

作为一款SUV车型，森林人装备了斯巴鲁轿车上使用的核心技术：水平对置发动机和左右对称全时四驱系统，优秀的操控性和通过性能让它成为都市SUV最跨界的车型之一     

资讯

马自达C×-5，其实我不是混动 马自达最新紧凑型SUV车型C×_5近日上市。5款车型售价区间23．38万-28．侣万元，除入门级别车型是两驱外，其余均为四驱车型。该车以整车进口形式出售，配备了马自达新一代的“创驰蓝天”技术，发动机压缩比更高，车身更轻，还配备了智能怠速启停系统等，但是最让人惊奇的是它的百公里油耗，两驱车型综合油耗仅6．7L，四驱车型仅7．5L，作为一个SUV，马自达CX-5不是混动胜似混动。据悉，明年CX-5将由长安马自达国产，届时价格将会更加亲民，这对于某些消费者而言绝对是个好消息。     

基于虚拟路面的整车路噪轮胎参数相关性研究

为了在设计阶段保证整车的NVH性能,通过搭建虚拟路面仿真平台探究轮胎关键物理参数对于整车路面振动噪声的影响规律。结合实车采集的试验场NVH路面PSD、高精度物理轮胎CDTire模型以及整车声固耦合模型,建立完整的整车路噪仿真环境。通过某款SUV的仿真结果表明,不同款轮胎及同款轮胎不同批次对整车路面振动噪声有直接的影响。虚拟路面方法可以在整车开发早期甄别出在车辆噪声中起主导作用的频率段,从而排查明显的NVH设计缺陷,同时,可以为车型NVH正向开发提供轮胎选型依据。     

雪佛兰创酷

<正>新生代城市SUV雪佛兰创酷共推出四款不同配置的车型,有手动挡与自动挡。其中,自动挡顶配车型配备AWD智能四驱系统。创酷全系标配包括ESC/CBC/HSA/ROM等在内的八大安全系统,打造同级最强安全性能。雪佛兰智能车载互联系统MyLink配备在中高配置车型上,可实现免视互动、多媒体娱乐、导航等多种功     

SUV镂空式尾翼的气动噪声仿真及优化

在某全新开发的运动型多用途汽车（Sport Utility Vehicle，SUV）车型设计过程中，为降低镂空式尾翼对整车风噪性能的影响，对汽车外部流场及声场进行仿真分析。根据分析结果，针对镂空式尾翼的形状结构提出优化方案并验证。对尾翼区域风噪仿真方法研究及镂空式尾翼方案设计具有一定的参考价值。     

非常规武器 SUZUKI KIZASHI

一提到四驱,很多人会想到SUV,其实当四驱系统应用于轿车上时,同时会让主动安全性得到质的提升。一贯生产SUV车型的铃木深谙此道,所生产的第一款中级轿车凯泽西便打出了四驱牌。     

基于车胎匹配的越野汽车驱动性能建模与仿真研究

汽车轮胎与整车匹配所构成的集成系统的动力学性能是影响汽车行驶性能的主要因素。为了提高汽车轮胎与整车驱动性能匹配的合理性,采用轮胎三维有限元分析方法分析了汽车轮胎驱动性能,建立了汽车轮胎驱动特性模型,并与传统刷子模型进行了对比分析,在此基础上研究了与轮胎匹配的整车驱动性能特性。针对某越野车型建立了其加速过程的数学模型,在MATLAB/Simulink仿真环境下进行了整车驱动性能动态仿真,并与实验结果进行对比分析,结果表明:利用新的轮胎模型进行整车驱动性能仿真分析能够准确地反映整车驱动特性。     

基于Matlab/Simulink环境四轮驱动混合动力汽车建模与仿真

介绍了电动汽车的建模和仿真技术,应用M atlab/S imu link软件建立了四轮驱动混合动力汽车的仿真模型,基于标准道路行驶循环分析了整车经济性能和排放性能。     

Optimal power distribution of front and rear motors for minimizing energy consumption of 4-wheel-drive electric vehicles

In this paper, the optimal power distribution of the front and rear motors for minimizing energy consumption of a 4WD EV is investigated. An optimal power distribution control is developed based on the mathematical energy consumption model of an EV. The objective function is defined while ignoring time. And, the time effect is applied by considering the objective function for every single driving point which consists of the vehicle driving force and velocity. From the optimization problem, the optimal torque distribution maps of the front and rear motors can be obtained for all vehicle driving force and velocity ranges. These maps can be expressed using a 3-dimensional map. If the vehicle driving force and velocity are determined, the optimal front and rear motor torques can be determined using these maps. These maps can distribute the front and rear motor torques for the entire velocity range. Thus, these maps can perform the optimal power (torque times speed) distribution of the front and rear motors for minimizing the energy consumption of the 4WD EV. The performance of the optimal power distribution is evaluated by comparing the energy consumption to that of simple power distribution control. For obtaining the energy consumption, a vehicle driving simulation is performed. For the simulation, the driving cycle is required, and the NEDC (New European Driving Cycle) is used. From the simulation results, it is found that the energy consumption of simple power distribution is 4.8 % larger than the optimal one. Thus, the optimal power distribution can minimize the 4WD EV energy consumption as the optimization objective function.     

Force control for path following of a 4WS4WD vehicle by the integration of PSO and SMC

The aim of this paper is to present a novel control method for a four-wheel steer and four-wheel drive (4WS4WD) vehicle. The novelty is in the integration of sliding mode control (SMC) and particle swarm optimization (PSO) that is proposed to solve the control problem caused by the nonlinear, highly coupled and over-actuated characteristics of the four-wheel steer and four-wheel drive (4WS4WD) vehicle. The validity of the control method is evaluated by two criterions, namely path following performance assessed by the vehicle's position errors with respect to the reference path, and motion quality reflected by the smoothness of vehicle's velocities and accelerations. In vehicle modelling, a kinematic model and a dynamic model considering all slip forces are proposed for the controller design. Simulation results are provided to demonstrate the applicability of the proposed methodology and its robustness.     

基于ADVIS0R的混合动力SUV

在我国SUV保有量迅速增加,油耗高且污染严重,而混合动力技术可以弥补这方面的缺陷。文章以国内桌SUV为例,对其改为混合动力后的驱动型式、动力总成参数的确定及性能预测等方面进行了研究并对仿真软件ADVISOR进行二次开发以便于四轮驱动的仿真分析。结果表明,与原车相比,混合动力SUV最高车速提高了32％,最大爬坡度提高了37％,油耗降低了29％,同时能在纯电动模式下以50km／h的速度行驶43．8km。指出改进后的混合动力SUV具有更好的动力性和经济性,满足了设计要求     

Development of an electric active rollcontrol (ARC) algorithm for a SUV

Cornering maneuvers with reduced body roll and without loss in comfort are leading requirements for car manufacturers. An electric active roll control (ARC) system controls body roll angle with motor-driven actuators installed in the centers of the front and rear stabilizer bars. A vehicle analysis model developed using a CarSim S/W was validated using vehicle test data. Two ARC algorithms for a sports utility vehicle (SUV) were designed using a sliding-mode control algorithm based on a nonlinear roll model and an estimated lateral acceleration based on a linearized roll model. Co-simulation with the Matlab simulink controller model and the CarSim vehicle model were conducted to evaluate the performance of two ARC control algorithms. To validate the ARC performance in a real vehicle, vehicle tests were conducted at KATECH proving ground using a small SUV equipped with two ARC actuators, upper and lower controllers and a few subsystems. From the simulation and vehicle validation test results, the proposed ARC control algorithm for the developed ARC actuator prototypes improves the vehicle’s dynamic performance.     

电动轮驱动的电动汽车动力学仿真

采用自然坐标系下的整车动力学模型,模拟变速或转向过程中可能存在的变化情况,进行了四电动轮独立驱动的电动汽车仿真。仿真试验表明,在变速或转向的过程中,各轮的输出转矩可能会有较大差异。因此在此类电动汽车的设计中应当充分考虑对变速或转向时各轮的转矩加以控制,以提高操控性能。     

4WD电动汽车转速闭环控制

研究了4WD电动汽车的转速闭环控制：提出了摸型跟踪2自由度转速闭环控制策略和基于观测器的车速估算方法。介绍了该控制方法的基本原理及实现技术通过轮毂电机加载试验台的硬件在回路仿真、9自由度整车模型弯道制动及分离系数路面仿真，验证了该控制方法的有效性。     

浅谈新双积分法规下乘用车降油耗方案研究

乘用车燃油经济性是评价车辆性能的重要指标,通常以在一定循环行驶试验工况下,行驶100km所消耗燃油升数(单位为L/100km)作为评价指标。影响乘用车燃油经济性的因素很多,文章以公司某在研SUV为例,通过仿真及转鼓油耗测试手段,在保证车辆驾驶体验体验前提下,研究如何降低整车燃油经济性。     

汽车雨水管理的数值仿真与评价

汽车在雨天行驶时,落到侧窗表面的雨水会影响驾驶员的侧向视野和后视野,从而危及行车安全,故侧窗雨水管理对于整车安全非常重要。但迄今为止对于侧窗雨水管理问题尚未有一个统一而有效的评价方法。为此,本文中应用液膜模型和拉格朗日粒子模型对某款SUV进行了雨水仿真,基于人机工程学和粒子束轨迹技术提出了侧窗雨水管理的评价方法,并对仿真结果进行了相应的分析。