城市公交车传动系统优化匹配研究

针对目前公交车传动系统匹配中存在的问题,提出了具体的优化方案。通过公交车市区道路实验,利用多元统计的相关理论获取城区公交车实际行驶循环工况,使用AVL-cruise软件建立了公交车整车仿真计算模型,并对模型及行驶循环的有效性进行了试验验证。在验证模型正确的前提下,通过模拟计算提出了车辆传动系统的优化匹配措施。     

并联式混合动力液压挖掘机动力源特性研究

针对液压挖掘机在15s的一个典型工作周期下的工况,分析液压挖掘机的工况特点,建立并联式混合动力液压挖掘机动力源部分的数学模型,提出一种并联式混合动力液压挖掘机动力参数的优化组合配置,研究空间矢量脉宽调制(SVPWM)控制的永磁同步电机（PMSM）以及NiMH电池组在典型工作周期下的发电/电动、充电/发电能量转化效率、电机转速、转矩等动态响应特性以及SOC变化特性.仿真结果表明,该优化组合的动力总成能满足液压挖掘机动力需求和能量转化效率要求,能提升整机系统的油耗特性,并且电池系统只充当能量交互的媒介,实现液压挖掘机的高效节能的控制.     

动力总成悬置系统优化与减振分析

为了解决汽车动力总成悬置系统隔振问题,建立了某型号动力总成悬置系统的仿真模型.针对悬置系统无阻尼和有阻尼的情况,对支反力进行了对比分析;选取四个橡胶悬置的12个主方向刚度为设计变量,以动力总成悬置系统在各阶固有频率主振方向上的能量解耦程度为目标函数,利用Adams/Insight模块对动力总成悬置系统进行优化,结果显示优化后的悬置系统支反力明显降低,减小了动力总成振动的传递,解耦程度有了明显的提高,通过优化悬置系统的减振效果有了很大的改善.     

Optimal tracking control for automatic transmission shift process

In order to improve the shift quality, a linear quadratic optimal tracking control algorithm for automatic transmission shift process is proposed. The dynamic equations of the shift process are derived using a Lagrange method. And a powertrain model is built in the Matlab/Simulink and verified by the measurements. Considering the shift jerk and friction loss during the shift process, the tracking trajectories of the turbine speed and output shaft speed are defined. Furthermore, the linear quadratic optimal tracking control performance index is proposed. Based on the Pontryagin's minimum principle, the optimal control law of the shift process is presented. Finally, the simulation study of the 1-2 upshift process under different load conditions is carried out with the powertrain model. The simulation results demonstrate that the shift jerk and friction loss can be significantly reduced by applying the proposed optimal tracking control method.     

Multi-objective component sizing of a power-split plug-in hybrid electric vehicle powertrain using Pareto-based natural optimization machines

The urgent need to meet increasingly tight environmental regulations and new fuel economy requirements has motivated system science researchers and automotive engineers to take advantage of emerging computational techniques to further advance hybrid electric vehicle and plug-in hybrid electric vehicle (PHEV) designs. In particular, research has focused on vehicle powertrain system design optimization, to reduce the fuel consumption and total energy cost while improving the vehicle's driving performance. In this work, two different natural optimization machines, namely the synchronous self-learning Pareto strategy and the elitism non-dominated sorting genetic algorithm, are implemented for component sizing of a specific power-split PHEV platform with a Toyota plug-in Prius as the baseline vehicle. To do this, a high-fidelity model of the Toyota plug-in Prius is employed for the numerical experiments using the Autonomie simulation software. Based on the simulation results, it is demonstrated that Pareto-based algorithms can successfully optimize the design parameters of the vehicle powertrain.     

Steeling ourselves for the electric vehicle revolution

Abstract

The automotive industry is changing with ever increasing speed. The current economic and environmental pressures mean that the vehicles of tomorrow will be very different to those we drive today. As new technologies are developed to enable these changes, the materials industry must respond quickly to ensure that they are both manufacturable and cost effective, as well as deliver the performance required to drive the industry forward. This article aims to identify the key technology developments, the challenges that they face and how Tata Steel is helping to overcome them.     

An experimental and analytical comparison study of power management methodologies of fuel cell-battery hybrid vehicles

The implementation of fuel cell vehicles requires a supervisory control strategy that manages the power distribution between the fuel cell and the energy storage device. Some of the current problems with power management strategies are: fuel efficiency optimization methods require prior knowledge of the driving cycle before they can be implemented, the impact on the fuel cell and battery life cycle are not considered and finally, there are no standardized measures to evaluate the performance of different control methods. In addition to that, the performances of different control methods for power management have not been directly compared using the same mathematical models. The proposed work will present a different optimization approach that uses fuel mass flow rate instead of fuel mass consumption as the cost function and thus, it can be done instantaneously and does not require knowledge of the driving cycle ahead of time. Also this study presents an experimental approach to validate the mathematical simulation results.     

混合动力车辆动力系统建模与仿真

以并联式混合动力车辆为研究对象,基于MATLAB／Simulink软件,建立了发动机、电动机、蓄电池以及整车仿真模型,制定了整车控制策略．仿真结果表明,应用该策略对发动机与电机间的功率输出进行协调控制,能明显提高整车燃油经济性,并能够维持SOC在规定的工作区间变化．     

商用车多刚体动力装置-悬置系统振动模态特性与系统匹配分析

以商用车动力装置-悬置系统为研究对象,分别建立了动力总成-空调压缩机-悬置系统模型和动力总成-传动轴-悬置系统模型,计算了以上两种多刚体-弹性系统的振动模态,进行了动力总成的刚体振动模态频率关于耦合子系统参数的变化历程分析。计算和实验结果表明：空调压缩机通过其传动带与动力总成的耦合对动力总成的刚体振动模态有显著影响,使得动力总成-悬置系统的刚体振动模态频率提高了,不利于隔振设计目标的实现,但传动轴的影响较小。据此提出了关于动力总成-空调压缩机-悬置系统的弹性耦合刚度匹配改进建议。     

基于转速/转矩控制的AMT换挡策略

分析了传统机械自动变速器（AMT）换挡控制策略的局限性,提出基于转速/转矩内外双层的AMT动力传动一体化控制方法,即外层计算出发动机目标转速、转矩和离合器目标位置,内层通过向发动机控制单元（ECU）发送转矩请求来实现AMT的换挡控制。为验证该方法的正确性,利用MATLAB/Simulink建立了全电AMT车辆动力传动一体化控制仿真系统模型,并在dSPACE系统上搭建了变速器控制单元（TCU）快速控制原型进行实车测试。仿真和试验结果都表明,应用双层动力传动一体化控制方法,能够显著改善AMT车辆换挡品质。