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朱剑宝 《机械制造与自动化》2019,48(3):193-197
以某款纯电动轿车为研究对象,根据其动力性与经济性设计指标,提出一种基于NEDC行驶工况的参数设计方法,对该车的电动机和动力电池进行了选型与参数匹配。为了在满足动力性指标的基础上进一步提升经济性,针对变速器和主减速器参数提出一种基于自适应模拟退火算法的多目标优化方案,利用权重法将表征汽车动力性的多目标优化问题转化为单目标优化问题,得到综合动力性优化目标函数,并将一次NEDC工况总能耗作为经济性优化目标函数,再基于自适应模拟退火算法得到多目标优化问题所需的最优解。仿真结果表明优化后车辆的综合性能有较好提升。 相似文献
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传统的发动机最佳经济性和最佳动力性控制策略不能保证传动系统整体性能最优。以无级变速传动系统整体性能最优为目标,从经济性、动力性和瞬态工况特性三个方面论述基于功率需求的整体优化控制策略。制定发动机、液力变矩器和无级变速器的整体效率优化算法,求解最佳节气门开度控制表、最佳速比控制表和液力变矩器理想闭锁控制线。在经济性模式下,以满足功率需求的整体最高效率点作为控制目标;在动力性模式下,根据功率需求计算目标节气门开度,以当前车速下的整体最大功率点的速比作为目标速比。在瞬态工况下,直接以车辆有效驱动功率作为控制目标,结合发动机转矩补偿与速比变化率限制,给出恒功率和零功率两种量化控制模式。仿真结果表明,整体优化控制策略使经济性提高3.2%,40~80 km.h–1的超车加速时间缩短13.7%,避免急加速过程中的动力疲软现象。 相似文献
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针对工程车辆在机群作业下的能量管理问题,以复合储能式装载机为研究对象,利用Recurdyn-Edem联合仿真建立连续作业环境获取工况数据;分别以V型工况及集群作业下装载机单次循环工况油耗最少为目标,设计了基于等效油耗最小策略与规则相结合的控制策略,为了能够进一步提高全局工况的燃油经济性,使用遗传算法对等效油耗最小关键参数进行寻优,最后带入整车模型进行仿真验证。结果表明,V型工况与集群作业工况下,该控制策略相较于自适应神经模糊控制,燃油经济性分别提升了3.23%和4.26%;通过dSPACE进行硬件在环试验,试验与仿真结果基本一致,进而验证了优化结果的有效性。 相似文献
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针对外界负载变化比较剧烈的轮式装载机等工程车辆采用传统液力机械自动变速器时,面临着效率偏低、油耗较大的问题,提出在轮式装载机上应用新型回流式液力机械自动变速传动(Hydraulicmechanicalpowerrefluxtransmission,HMPRT)系统。装载机需要通过换档来适应复杂的作业要求,所以结合HMPRT调速特性制定基本换档规律。考虑到装载机等工程车辆常在已知典型的工况下进行作业,同时为避免基本换档规律的动力性和经济性模式的来回切换,降低驾驶员的工作量,采用动态规划建立HMPRT换档规律的优化设计方法。该方法首先根据装载机常用作业工况的特点及HMPRT的换档特性,确定DP控制参数,以燃油消耗作为代价函数,并且增加惩罚函数,用来避免产生频繁换档现象。研究结果表明,采用动态规划提出的换档规律时,与最佳动力性换档规律相比燃油消耗降低3.5%,与最佳经济性换档规律相比换档次数减少33.3%。综合考虑了典型作业工况,在保证动力性和经济性的同时,避免了频繁换档。 相似文献
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挡位决策就是根据车辆运行情况、道路情况和驾驶员的意图,按照某些目标(如动力性、经济性)最优的原则确定当前车辆的挡位,并通过选换挡执行机构控制变速箱换挡。 相似文献
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装载机发动机功率分配特性研究有利于发动机多功率工作模式的设计与应用。以某典型装载机为例,在计算其传动轴转矩、转速基础上,结合液压系统工作压力,选择并标定了转矩与液压传感器,将转矩、转速与液压传感器信号接入数据采集仪,构建了装载机参数测试系统,应用n Soft软件、采用"铲-续-铲"方式对实车测试数据进行处理,获得了典型工况下装载机传动系统与液压系统实时动态消耗发动机功率历程谱图,针对谱图中反映出的同一工作循环不同作业段消耗发动机功率相差较大情况,提出将发动机功率设计为高、中、低三种功率工作模式,在满足实际作业需要的同时达到节能降耗的目的。 相似文献
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针对电动汽车多挡变速器速比优化过程中,仅对单一特定工况进行优化,而与实际工况相差较多的不足,提出了基于粒子群算法的传动系常用运行区效率最优的速比优化方法,即通过多种特定工况的叠加找出电动汽车常用运行区,并通过调节速比的方式使电动汽车传动系的高效区最大可能地落入常用运行区内,使传动系平均运行效率最高。以整车动力性为约束条件,以电动汽车传动系常用运行区域下平均效率为经济目标,整车加速时间为动力性目标构建适应度函数,利用Matlab软件编写程序实现速比优化,并用AMESim软件搭建整车模型进行整车能耗验证。结果显示,通过优化后整车动力性经济性均有提升,表明所用的方法有效。 相似文献
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ZHANG Hongyan ZHAO Dingxuan TANG Xinxing Ding Chunfeng 《机械工程学报(英文版)》2008,21(1):20-24
From the viewpoint of energy saving and improving transmission efficiency, the ZL50E wheel loader is taken as the study object. And the system model is analyzed based on the transmission system of the construction vehicle. A new four-parameter shift schedule is presented, which can keep the torque converter working in the high efficiency area. The control algorithm based on the Elman recursive neural network is applied, and four-parameter control system is developed which is based on industrial computer. The system is used to collect data accurately and control 4D180 power-shift gearbox of ZL50E wheel loader shift timely. An experiment is done on automatic transmission test-bed, and the result indicates that the control system could reliably and safely work and improve the efficiency of hydraulic torque converter. Four-parameter shift strategy that takes into account the power consuming of the working pump has important operating significance and reflects the actual working status of construction vehicle. 相似文献
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Hakgu Kim Kwangseok Oh Kyungeun Ko Panyoung Kim Kyongsu Yi 《Journal of Mechanical Science and Technology》2016,30(2):603-610
This paper presents a wheel loader simulation model, validation results and energy flow analysis. The developed simulation model will facilitate the performance evaluation and optimization process in the development stage of a prototype wheel loader. The wheel loader simulation model consists of mechanical and hydraulic powertrain model, multi-body dynamic model and working part dynamic model. The multi-body dynamic model is simplified since the effect of pitch and roll motion of the wheel loader on the energy flow of the powertrain and hydraulic actuator systems is insignificant, a simplified planar model for the dynamic vehicle is good enough for the objective of this study. Every component is modeled and integrated in a simulation package developed using Matlab/Simulink. The simulation model has been validated using experiment data and the validation results show that it effectively represents the actual dynamic characteristic of the target wheel loader. The verified simulation model will be used as a virtual platform to evaluate the performance of alternative powertrain models such as a dual-clutch transmission and hydrostatic transmission. An advanced control system can also be implemented and evaluated using the virtual platform. 相似文献
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阐述了装载机结构件新型液压拼焊工艺装备的有关原理和发展趋势,并通过对比现有的结构件拼焊工艺装备常用的夹紧模式,较为详细地剖析了设计装载机结构件液压拼焊工艺装备的思路,成功实现了在装载机三大结构件上的应用。确保了结构件的拼焊质量,提高了工作效率,降低了工人的劳动强度。 相似文献
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Optimization of hydro-mechanical power split transmissions 总被引:3,自引:0,他引:3
The increasing attention to comfort, automation and drivability is pushing the driveline technology to ever complex solutions, such as power-shift or continuously variable transmissions. Between these, the hydro-mechanical solution seems promising for heavy duty vehicle, due to the reliability and the capability of transferring high power. However, the double energy conversion occurring in the hydraulic branch of the transmission could lower excessively the total efficiency, highlighting the needs for a careful design of the whole system.In this work, the design of a hydro-mechanical transmission is defined as an optimization problem in which the objective function is the average efficiency of transmission, while the design variables are the displacements of the two hydraulic machines and gear ratios of ordinary and planetary gears. The optimization problem is solved by a “direct search” algorithm based on the swarm method, which showed a good speed convergence and the ability to overcome local minima.The optimization design method will be applied to study the transmission of two vehicles: a 62 kW compact loader and a high power agricultural tractor. 相似文献
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将激光自混合干涉(SMI)技术用于齿轮箱的故障检测,设计出一种新的齿轮箱故障检测传感器。采用QL65D5SA型半导体激光自混合传感器、冯哈勃2342l012CR空心杯减速电机自带的行星齿轮箱,搭建了行星齿轮箱故障SMI检测系统,并对行星轮Z1做断齿故障实验。通过对时域波形的分析,可以找到额定转频下的12个冲击点;通过对齿轮箱故障信号傅里叶频谱的分析,发现故障齿轮的啮合频率周围出现与故障齿轮特征频率和行星架转频呈整数倍关系的边带,且啮合频率处的波形幅值明显增大,这些都与齿轮副的理论振动模型相符合。 相似文献
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《Mechanical Systems and Signal Processing》2006,20(1):188-221
Conventional vibration monitoring techniques are unable to provide accurate state analysis of a gearbox under varying load condition. This paper proposes a novel technique for state detection of gearbox, which fits a time-varying autoregressive model to the gear motion residual signals applying a noise-adaptive Kalman filter, in the healthy state of the target gear. The optimum autoregressive model order, which provides a compromised model fitting for the healthy gear motion residual signals collected under various load conditions, is determined with the aid of a specific model order selection method proposed in this study. Consequently, a robust statistical measure, which takes the percentage of outliers exceeding the three standard deviation limits is applied to evaluate the state of the target gear, where the standard deviation of autoregressive model residuals takes its maximum in all tested gear motion residual signals for model order selection. The proposed technique is validated using full lifetime vibration data of gearboxes operating from new to failure under four distinct load conditions. The investigated load conditions include: (1) constant load, (2) one jump from 100 to 200% nominal torque level, (3) one jump from 100 to 300% nominal torque level, and (4) constant changed to sinusoidal. In each application, the specific model order selection and comparison of the proposed gear state indicator with three counterparts proposed in recent studies are addressed in detail. The Kolmogorov–Smirnov test is also performed as a complementary statistical analysis. The results show that the proposed technique possesses a highly effective and robust property in the state detection of gearbox, which is independent of varying load condition as well as remarkable stability, early alarm for incipient fault and significant presence of fault effects. The proposed gear state indicator can be directly employed by an on-line maintenance program as a reliable quantitative covariate to schedule optimal maintenance decision for rotating machinery. 相似文献