Hierarchical Direct Yaw-Moment Control System Design for In-Wheel Motor Driven Electric Vehicle

In this study, a hierarchical structured direct yaw-moment control (DYC) system, which consists of a main-loop controller and a servo-loop controller, is designed to enhance the handling and stability of an in-wheel motor driven driven electric vehicle (IEV). In the main loop, a Fractional Order PID (FO-PID) controller is proposed to generate desired external yaw moment. A modified Differential Evolution (M-DE) algorithm is adopted to optimize the controller parameters. In the servo-loop controller, the desired external yaw moment is optimally distributed to individual wheel torques by using sequential quadratic programming (SQP) approach, with the tire force boundaries estimated by Unscented Kalman Filter (UKF) based on a fitted empirical tire model. The IEV prototype is virtually modelled by using Adams/Car collaborating with SolidWorks, validated by track tests, and serves as the control plant for simulation. The feasibility and effectiveness of the designed control system are examined by simulations in typical handling maneuver scenarios.     

汽车ABS弯道制动的阶梯控制

提出了汽车ABS弯道制动的阶梯控制模型,在不同附着性能的路面上对该控制模型进行分析验证并与其它滑移率控制方法进行比较,分析表明该控制模型显著改善了汽车ABS弯道制动的制动性能,提高了汽车弯道制动的稳定性和保证了制动效能。     

混合电动汽车驱动电机AC22的转子磁场定向矢量控制研究

摘要混合电动汽车是一种利用燃油发动机和电机混合驱动的新型节能环保型汽车。由于感应电机在成本、可靠性以及维护性等方面的优势，使它在电动汽车中得到了广泛的应用。文中结合实际项目，针对具体的电动车用感应电机AC22．利用转子磁场定向矢量控制方法成功实现了电机磁通和转矩的解耦控制，仿真结果表明了该方案的可行性和有效性。     

轮毂式电动汽车驱动系统发展综述

轮毂式电动汽车是直接将电机安装在车轮轮毂内的新型电动汽车。轮毂式电动汽车的关键技术就在于对轮边电机的控制,特别是转向时的差速控制。文章介绍了轮毂式电动汽车的发展历程、转向电子差速控制和关键技术。     

基于汽车质心侧偏角的EPS回正控制策略

针对传统的转向回正控制容易产生回正过度或回正不足的情况,提出一种基于质心侧偏角的汽车电动助力转向回正控制策略。建立车辆动力学模型,基于车载电子稳定程序传感器信号,采用无迹卡尔曼滤波方法在线实时估计路面附着系数和车辆的质心侧偏角。将估计的质心侧偏角与期望质心侧偏角的偏差作为输入,对车辆进行转向回正滑模控制。在Carsim、Matlab/Simulink和LabVIEW中对车辆不同工况下的转向回正性能进行仿真和硬件在环试验。结果表明,提出的转向回正控制策略能够有效地改善车辆的中心转向性能,使车辆具有良好的回正效果。     

Finite Disturbance Directional Stability of Vehicles with Human Pilot Considering Nonlinear Cornering Behavior

The driver of a vehicle has a significant influence on handling and stability of the vehicle. Due to the complex behavior of a human pilot, a driver model is usually neglected when dealing with the problem of vehicle stability. This work focuses on the interaction between the vehicle and the human pilot. A model characterizing human operator behavior in a regulation task is employed to study directional stability. Linear stability is analyzed by the application of the Routh-Hurwitz criterion and stability boundaries separating the stable domain of operation of the driver from the unstable one are constructed.

The linear analysis predicts that the only possible instability in a driver/vehicle system is an oscillatory instability with increasing amplitude. It is shown that the addition of kinematic as well as slip angle nonlinearities in the vehicle model can have a stabilizing effect on these oscillations of the combined driver/vehicle system. They may also be responsible for the opposite, namely a linearly stable motion may become unstable to finite size disturbances. These nonlinear motions are predicted by a bifurcation analysis and are verified by direct numerical simulation.     

电动汽车电机驱动系统多功能控制总成的开发与应用

介绍一种电动汽车电机驱动系统多功能控制总成产品,其电气电路采用集成设计,结构采用双面布置、箱体与散热器一体化铸造设计,已成熟应用于8～12 m电动客车.     

四轮独立驱动电动汽车轮毂电机控制策略的研究

为降低轮毂电机转矩脉动对电动汽车平顺性的影响,提出了开关磁阻电机的控制策略。建立了电机的非线性模型,对电机进行了最优角度控制。针对电机转矩脉动问题,首先在直接转矩分配控制基础上,采用模糊算法对传统PID控制器的参数进行在线整定,其次提出将快速终端滑模控制算法与直接转矩分配相结合的控制策略。仿真结果表明,模糊算法的引入提高了系统的稳定性;而快速终端滑模控制算法不仅提高了系统抗干扰的能力,而且降低了电机的转矩脉动。     

混合动力电动汽车电动机的仿真建模

详细介绍电动机仿真模型，并在ADVISOR仿真分析平台上对原有电动机仿真模型进行修改，考虑了温度敏感性和非热量损失对电动机模型的影响，使仿真计算分析的精度得到进一步提高。     

电动汽车复合驱动系统

电动汽车的复合驱动系统包括内燃机驱动和电力驱动，它综合了这两种驱动方式的优点。介绍了电动汽车的各种复合驱动结构，分析讨论了这些结构的优缺点，阐述了选择串联还是并联复合驱动结构时应考虑了主要问题，并给了一个单轴复合驱动结构的实例。     

并联混合动力客车控制策略比较

控制策略的制定是混合动力电动汽车开发的关键,因为其直接影响着能量在车辆内部的流动及整车的性能。本文首先介绍了3种不同的并联混合动力客车控制策略:电动助力控制策略、实时控制策略及模糊逻辑控制策略,然后利用ADVISOR建立的SY6480整车模型在SIMULINK环境下进行整车仿真,根据仿真结果考察这些控制策略对于这一并联混合动力客车的燃油经济性的影响,最后通过分析,对于不同的控制策略的适用性作出评价。     

电动汽车轴向轮毂电机的工作特性

本文针对轴向永磁轮毂电机变负载调速时的传动性能,分析了启动过程中的转矩和转速等启动性能以及启动完成后的磁密、涡流损耗、传动效率等工作性能.首先运用矢量磁位法建立了数学模型,得到气隙磁密、转矩、轴向力和传动效率等工作参数的数学表达式,并运用Matlab软件进行了系统气隙磁密的数值计算;然后利用Magnet软件模拟得到了不...     

并联混合动力汽车自适应控制策略

提出了以电池电量平衡为目标的基于行驶循环识别的并联混合动力汽车自适应控制策略.其核心是一个负责发动机和电机之间转矩分配的两参数模糊控制单元.自适应调整模块由行驶循环识别和参数调整两部分组成,后者的目标是维持混合动力汽车在行驶过程中的电量平衡.这样,既可使电池尽可能保持在高效率区间内工作,又能合理控制电池的充放电,提高整车燃油经济性.仿真结果表明,对于多数行驶循环,该控制策略能够明显地提高混合动力汽车的燃油经济性.     

对现行《汽车低压电线束技术条件》的研究

通过对现行《汽车低压电线束技术条件》的分析研究,系统地阐述了它的不足之处,明确提出了需要对它尽快修订的观点。     

车用高性能永磁电机驱动系统的研发

重点介绍高性能车用永磁电机驱动系统中的高功率密度车用电机控制器、广域高效混合励磁电机和全数字化高性能电机控制软件平台3项关键技术,提出了在功率密度、全范围效率、可靠性、维护性和成本等方面均优于传统的车用永磁电机驱动系统的解决方案。在此基础上开发出高功率密度车用电机驱动系统样机,成功应用于力帆LF620纯电动警务车,并服务于2010年上海世博会上。     

电动汽车水冷电机散热影响因素研究

建立某商用电动汽车电机损耗模型并开展其水冷热仿真分析,研究不同散热结构参数对电机温升的影响规律,并进行台架试验验证.     

四轮独立转向电动汽车转向控制方法

本文中对四轮独立转向电动汽车的转向控制方法进行研究。首先,基于前轮转向车辆的理想横摆角速度模型,建立四轮独立转向2自由度动力学模型。接着,以四轮侧偏角之和绝对值最小化作为优化目标函数,以质心侧偏角为零和理想横摆角速度作为约束条件,采用线型优化算法求解系统前馈控制器。再以轮胎侧偏角和横摆转矩为输入建立线性控制模型,运用最优区域极点配置方法设计反馈控制器。最后,建立人-车-路闭环仿真系统,分别进行双移线道路仿真实验和对开路面上的行驶仿真实验。结果表明,控制器能根据路面附着情况分配各轮转角,保证车辆跟踪理想状态。实车双移线实验进一步验证了控制器对车辆理想状态良好的跟踪精度。     

串联式混合动力辅助动力单元动态控制研究

提出了一种柴油机辅助动力单元(APU)动态控制器的结构,基于Z iegler-N ichols整定方法设计了发电机励磁电流PI控制器,根据闭环系统稳定性和跟踪性能试验测试设计了转速和转矩耦合PI控制器,基于稳定性准则设计了APU系统动态过程控制策略。混合动力试验表明,APU控制器保证了APU动态过程中的稳定性,跟踪性能比较满意。     

多类型共享电动汽车出行用户特征分析

共享电动汽车作为共享经济下的新兴产物,成功融合了私家小轿车和公共交通工具的优点,成为一种新兴交通模式.本文采用问卷调查及统计分析方法对共享电动汽车细分市场下的用户需求及出行选择进行分析,揭示出多类型共享电动汽车的用户特征,以助于共享电动汽车产业发展和促进中国绿色低碳发展战略进程.     

A Fuzzy Logic Direct Yaw-Moment Control System for All-Wheel-Drive Electric Vehicles

Summary In-wheel-motors are revolutionary new electric drive systems that can be housed in vehicle wheel assemblies. Such E-wheels permit packaging flexibility by eliminating the central drive motor and the associated transmission and driveline components, including the transmission, the differential, the universal joints and the drive shaft. Apart from many advantages of such a system, unequalled independent wheel control allows vehicle dynamic improvement to assist the driver in enhancing cornering and straight-line stability on slippery roads and in adverse ground conditions. In this paper a Fuzzy logic driver-assist stability system for all-wheel-drive electric vehicles based on a yaw reference DYC is introduced. The system assists the driver with path correction, thus enhancing cornering and straight-line stability and providing enhanced safety. A feed-forward neural network is employed to generate the required yaw rate reference. The neural net maps the vehicle speed and the steering angle to give the yaw rate reference. The vehicle true speed is estimated using a multi-sensor data fusion method. Data from wheel sensors and an embedded accelerometer are fed into an estimator, where a Fuzzy logic system decides which input is more reliable. The efficiency of the proposed system is approved by conducting a computer simulation. The proposed control system is an effective and easy to implement method to enhance the stability of all-wheel-drive electric vehicles.