双离合式自动变速器换挡控制方法的研究

双离合式自动变速器换挡能够实现平稳快速的动力性换挡,提高乘坐的舒适性。由双离合器式自动变速器换挡过程的分析可知,当上一档位的离合器分离,下一档位的离合器滑摩的时候,由于两个档位变速比的差别,为了使换挡过程中车速平稳变化,没有明显的冲击,必须在这过程中,对发动机转速进行有效控制以匹配下一档位的输入轴转速。本文研究双离合式自动变速器换挡控制方法,编写相应的换挡控制程序,对发动机和离合器同时进行有效的控制。实验结果表明,本文采用的控制方法实现了汽车平稳变速。     

电控机械式自动变速器换挡过程控制

本文就主要针对电控机械式自动变速器换挡过程控制进行了简要的分析。文章论述了AMT换挡的控制方法,并对其控制的约束条件进行了详见的分析,从而实现了对离合器的分离以及接合的有效控制。利用合理的控制方法,能够合理的调节离合器与发动机之间的工作,从而可以形成高品质的换挡,这样能够延长离合器的应用寿命,希望本文的探究能够为相关的人员提供一定的参考和借鉴。     

双离合器变速器换挡品质研究

双离合器以其独特的结构实现了动力换挡,换挡品质比传统的机械式自动变速器有了很大的提高。但是双离合器变速器DCT是一个复杂的系统,系统内部各部件转动惯量对换挡的影响较大。并且在实现变速换挡的时,DCT系统会产生一定的换挡冲击和换挡时间。因此本文通过对DCT系统换挡的本质研究,来优化变速换挡的品质,具有一定的实际应用价值。     

自动变速器典型故障的诊断与排除

为适应汽车行驶条件的变化,必须经常换挡.换挡时,被啮合的主动齿轮与被动齿轮转速不一样,使齿轮受到冲击,甚至有时挂不上挡.于是换挡前需要使用自动变速器对转速加以调整.跟自动变速器相关的故障是汽车维护过程中的一种常见现象.本文对此进行了讨论.     

无级变速器的电液伺服波动规律分析

分析无级变速器的电液伺服波动规律,提高无级变速器对自动变速箱的控制精度和匹配性,无极变速器在伺服控制中由于控制器的电液滑模干扰出现波动,需要对波动规律进行补偿控制和分析。提出一种基于功率反馈激励的变速箱转速辨识的无级变速器的电液伺服波动控制方法。构建无极变速器的系统结构模型和电液伺服控制系统,构建变速箱转速辨识优化控制函数,得到无级变速的变速箱转速辨识转矩,基于功率反馈激励控制方法,得到无级变速器的电液伺服波动干扰项,提高对变速箱的转速辨识能力,实现波动规律分析和自动控制算法改进。仿真结果表明,采用该方法能有效提高对无级变速器的匹配精度和控制性能。     

基于发动机特性曲面的变速器换挡策略研究

作为车辆的重要组成部分,变速器的换挡策略的确定对车辆行驶的经济性有着较大的影响。而研究车辆发动机的特性曲面则可以得到各档位线与等功率线之间的关系,继而较好完成变速器换挡策略的制定。因此,基于这种认识,本文对基于发动机特性曲面的变速器换挡策略展开了研究,以便为关注这一话题的人们提供参考。     

自动变速器检测与故障诊断方法

自动变速器能实现自动变速、连续变转矩,且换挡时不中断动力,但其结构复杂,技术状况不良时诊断困难。主要说明了自动变速器检测、故障诊断的步骤和方法。     

现代汽车双离合变速器系统探讨

介绍了双离合变速系统及其特点,阐述了双离合变速器的结构、工作原理和优缺点;介绍了双离合变速系统目前的应用状况及双离合变速系统在使用中存在的缺陷,分析了双离合变速系统的应用前景。     

离合器早期打滑的问题解析:253发动机湿片式离合器技术整改实例

摩托车离合器作为联接发动机与变速系统之间的传力装置,其主要作用是保证发动机动力平稳可靠地输出和彻底迅速地分离,以满足摩托车起步、变速和停车的需要。因此,离合器是否工作正常,将对摩托车整车的性能、变速系统及离合器本身的使用及寿命产生直接影响。本文就253发动机离合器早期打滑的问题调查及技术整改实例进行阐述。     

小议如何提高汽车变速器换挡功能

变速器气操纵系统出现故障会出现只有低档、没有高档或只有高档、没有低档的现象,即高低档位段不能互换或换挡滞缓。该种故障只有在熟悉汽车操纵系统工作原理的情况下,才能正确分析、查找故障所在。所谓变速器卡挡是在离合器技术状态完好,工作正常、变速器换挡操作正确的情况下,桂档或者摘挡时产生严重撞击,且挂不上挡或摘不下挡的现象,也叫换挡困难。在实际操作中表现为换挡手感差,有卡滞感,有台阶,不到位或换挡时间长等现象。而且故障原因难以查找和解决,重点关注了变速器最常见的故障：卡挡、跳档等问题．提出了解决方法,提高变速器的换挡性能。     

Optimal control of gear shift operations in automatic transmissions

An optimal control approach for gear shift operations in automatic transmissions is proposed in this paper. Starting from a verified model of a typical power train with an automatic transmission a performance measure for evaluating the gear shift process in terms of passengers comfort and control expenditure is developed. The gear shift operation is stated as a multistage decision process by making use of the dynamic programming method. Thereby, the synchronization of the gear box is formulated as a constraint at the end of the process. A control law is derived analytically in an explicit form by minimizing the performance measure over each process stage. Simulation results show a significant improvement in terms of gear shift comfort by different driving load cases. Furthermore, the shift time and the frictional losses in the shift elements can be reduced by applying the proposed control.     

基于模型的工程机械变速器优化设计

本文提出一种基于模型的工程机械用自动变速器优化方法。将变速器中的离合器压力和发动机的降扭量作为优化参数,改善变速器性能,提高乘坐舒适性和减少换档的时间。结果表明在不同负荷情况下,优化参数有明显的改进。     

Corresponding drivability control and energy control strategy in uninterrupted multi-speed mining trucks

An hybrid uninterrupted multi-speed transmission (HUMST), based on the integration of a planetary gear set and a 3-speed automatic manual transmission (3-AMT), is developed to satisfy the specific performance indexes of mining trucks. The power-split device can alleviate and eliminate the inherent torque interruption of the 3-AMT during gear shift by implementing the designed cooperative shift control strategy which is optimized by quadratic performance index. In order to achieve fast torque coordination while guaranteeing the driving comfort performance, the torque profiles of the power split device and the traction motor are optimized by Linear-quadratic regulator (LQR) algorithm. Dynamic programming (DP) is implemented as a benchmark to demonstrate the maximum fuel efficiency of the proposed HUMST. Because of the high computational cost of optimal control strategies such as DP, an improved real-time control strategy (IRTCS) using modified Gaussian distribution function is proposed to significantly reduce the computing load. As efficiency-oriented energy control strategy would result in frequent gear shifts, to achieve a desirable tradeoff between the overall efficiency and the shift stability, multi-objective genetic algorithm (MGA) is integrated to optimize the overall performance. The detail mathematical and dynamic model shows that the proposed shifting strategy with LQR can effectively suppress shift jerk, and the proposed IRTCS with MGA can reduce shift frequency by 70.78% to improve the drivability, only sacrificing 4.86% of overall efficiency compared to that of DP.     

齿轮机构对人类文化的作用

以齿轮为核心部件的自动机器对近代科学的建立起了非常重要的作用。首先,齿轮式钟表提供了精确计时的手段,促进了科学实验的发展;其次,齿轮机构承受了来自蒸汽机的巨大动力压力,使得印刷机等自动机器得以面世,推动了近代科学的形成与发展;最后,自动机器直接演化为自动计算机器,其影响力一直持续到今天。     

基于杠杆法的4T65E自动变速器传动研究

使用杠杆分析法对4T65E自动变速器的换挡过程中的构件旋转速度和力矩进行了详细直观的分析,并从三个设计角度验证了4T65E自动变速器传动方案设计的合理性;同时对自由轮在此变速箱中的作用作了详细的分析。     

辛普森自动变速器档位分析

用传统分析法对自动变速器的传动机构与档位进行分析（以丰田凌志A341E型四档电控自动变速器为例）,其主要包括自动变速器传动机构组成、过程分析及使用传统分析法的作用。     

Control rules extraction and parameters optimization of energy management for bus series-parallel AMT hybrid powertrain

A rule-based energy management strategy, that the control rules are extracted from acknowledged optimal algorithms and its control parameters are optimized offline and corrected online, for a series-parallel hybrid powertrain with an automatic mechanical transmission (AMT) is proposed in this paper to achieve near optimal fuel economy and battery state-of-charge (SOC) balance. Firstly, the dynamic programming (DP) global optimization method is applied to extract driving-mode transition rules and gear shifting rules. Furthermore, an instantaneous equivalent fuel consumption minimizing optimization method (ECMS) is utilized to determinate the engine torque distribution rules during its parallel driving mode. Then selected control parameters of driving-mode switching rules and torque split distribution are optimized based on genetic algorithm (GA) for further fuel consumption improvement. And the adaptive correction of optimized control parameters based on online driving cycle recognition method is discussed also. The simulation results show that this real-time rule-based energy management control strategy associated with the series of optimization approaches comprehensively can achieve a relatively close fuel consumption results to global optimal results and sustain the battery SOC balance after the end of driving cycle without much cycle-depending care.     

奥迪A6轿车097型电控自动变速器结构分析

本文详细地分析了奥迪A6轿车097型电控自动变速器的结构特点,特别阐述了其拉威挪式行星齿轮变速机构的组成及各执行元件的功能,介绍了液压控制系统各执行元件的工作情况以及自动变速驱动系统(TCU)各组成元件的作用。     

新型三级变速电动轮毂的研制

针对现有电动车不能适应复杂路况和动力轮转矩不够大的问题,通过在原有电动轮毂上加装机械变速箱来实现轮毂的三级变速,使新型轮毂获得更好的路况适应能力,并且可以根据需要换挡获得更快的速度或更大的转矩。本产品将机械变速箱集成在电动轮毂内,减小了新型三级变速电动轮毂的体积;单向飞轮的使用省去了离合器的使用,使变速过程变得简单易行,新型三级变速电动轮毂的动力性能得到了提高。     

Energy management strategy for parallel hybrid electric vehicles based on approximate dynamic programming and velocity forecast

In parallel hybrid electric vehicles (HEVs), the power split between the engine and the electric motor as well as the gear shift in the gearbox determines the overall energy efficiency. In this paper an adaptive energy management strategy with velocity forecast is proposed to optimize the fuel consumption in parallel HEVs, which is formulated into a mixed-integer optimization problem. Approximate dynamic programming with a novel actor-gear-critic design is presented for simultaneously controlling the power split and gear shift online. The power split as a continuous variable is determined from an actor network to realize the energy distribution between two power sources. The gear shift as a discrete variable is obtained from a gear network to adjust the gear ratio in the gearbox. The concept enables an online learning of the energy management strategy for different driving behaviors without the requirement of a system model and the driving cycle. Simulation results indicate that the proposed strategy achieves close fuel economy compared with the optimal solutions resulting from dynamic programming. Furthermore, a multi-stage neural network is introduced for velocity forecast, providing a computationally efficient training framework with good prediction performance. The velocity prediction is finally combined with the energy management strategy for an effective application and fuel economy.