共查询到19条相似文献,搜索用时 171 毫秒
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并联式混合动力电动汽车动力总成控制器硬件在环仿真 总被引:3,自引:1,他引:3
通过对EQ6110并联式混合动力城市客车的动力总成系统结构和控制系统的分析,研制开发了用于并联式混合动力电动汽车(PHEV)的动力总成控制器设计开发的硬件在环仿真系统;详细介绍了动力总成各个部件仿真模型的建立,包括发动机模型、电机模型、动力电池模型以及传动系统模型等;通过Matlab/Simulink的建模,运用dSPACE实时计算系统成功地构建了PHEV多能源动力总成控制器的硬件在环仿真系统;最后进行了PHEV动力总成控制器硬件在环仿真的测试试验研究。 相似文献
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新能源汽车3大关键技术包括动力电池及其电池管理系统、驱动电机及其电机控制以及整车能量管理控制策略,整车控制策略直接决定能量流在汽车内部的流动及整车性能的好坏。文章利用模糊控制策略建立了详细的动力总成多能源能量管理控制模块,并通过ADVISOR仿真平台对所设计的控制策略进行仿真分析。仿真结果显示100km油耗仅5.1L,0-100km/h加速时间为23.1s,最大行驶速度168.3km/h;表明该能量管理策略能明显改善燃油经济性。动力性也具有较好表现。 相似文献
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应用Cruise建立了混合动力轿车整车模型,并进行仿真计算。在NEDC循环工况下进行了燃油经济性试验,对比仿真与试验的过程参数如车速、发动机转速、档位等信号物理量值及其变化趋势,优化仿真模型,最终仿真计算得到可靠的油耗和动力性能结果。研究中将整车模型结合Matlab/Simulink建立的控制策略模型实现联合仿真,并对控制策略进行优化,对控制参数进行标定,从而得到合适的混合动力轿车的油耗和动力性能。在SGM18BAS混合动力轿车的研发中,仿真计算在动力系统结构、部件性能指标和参数匹配方面,在混合动力控制策略研究开发方面都将发挥重要作用。 相似文献
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混合动力汽车的关键开发技术是电池、电机及车辆的控制策略,它是混合动力汽车整体性能的决定性因素。此外,HEV的控制策略有助于实现整车的最佳节油性,对于车辆发动机排放、电池寿命、驾驶性能和其他组件的可靠性和成本等具有非常重要的影响。据此,从混合动力汽车的控制工作入手,对混合动力汽车的分类及特点进行讨论,同时介绍了相关的控制策略。 相似文献
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Design of an energy management strategy for parallel hybrid electric vehicles using a logic threshold and instantaneous optimization method 总被引:2,自引:0,他引:2
Y.- J. Huang C.- L. Yin J.- W. Zhang 《International Journal of Automotive Technology》2009,10(4):513-521
A novel parallel hybrid electric vehicle (PHEV) configuration consisting of an extra one-way clutch and an automatic mechanical
transmission (AMT) is taken as the study subject of this paper. An energy management strategy (EMS) combining a logic threshold
approach and an instantaneous optimization algorithm is developed for the investigated PHEV. The objective of this EMS is
to achieve acceptable vehicle performance and drivability requirements while simultaneously maximizing engine fuel economy
and maintaining the battery state of charge (SOC) in its rational operation range at all times. Under the MATLAB/Simulink
environment, a computer simulation model of the studied PHEV is established using the bench test results. Simulation results
for the behavior of the engine, motor, and battery illustrate the potential of the proposed control strategy in terms of fuel
economy and in keeping the deviations of SOC at a low level. 相似文献
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Kyuhyun Sim Sang-Min Oh Choul Namkoong Ji-Suk Lee Kwan-Soo Han Sung-Ho Hwang 《International Journal of Automotive Technology》2017,18(5):901-909
The plug-in hybrid electric vehicle (PHEV) has various driving modes used in both internal combustion engine and electric motors. The EV mode uses only an electric motor and the HEV mode uses both an engine and an electric motor. Specifically, when the PHEV of a pre-transmission parallel hybrid structure performs mode changing, its engine clutch is either engaged or disengaged, which is important in terms of ride comfort. In this paper, to enhance the mode changing process for the clutch engagement, a PHEV performance simulator is developed using MATLAB/Simulink based on system dynamics and experiment data. Vehicle driving analysis is carried out of the control logic and properties of the mode changing. A compensated torque is applied during the mode change. This results in the rapid speed synchronization with the clutch although the trade-off relationship of the mode change. In addition, the mode changing is conducted through the transmission shifting process to rapidly synchronize with speed. The control strategy implemented in this study is shown to improve the drivability and energy efficiency of a PHEV. 相似文献
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为了提高插电式混合动力汽车(PHEV)在电量保持下的燃油经济性,并解决插电式混合动力汽车在运行过程中动力元件效率对系统能量利用率影响的问题,制定了系统效率最优的控制策略。以PHEV关键动力部件的测试数据为基础,建立发动机、驱动电机、无级变速器(CVT)以及动力电池等关键部件的效率数值模型,并考虑了温度及荷电状态(SOC)对动力电池充放电功率的影响。设计以混合动力系统效率最优为适应度评价函数,将CVT速比、发动机转矩作为优化变量,以车速、加速度和SOC为状态变量,在动力性指标的约束下,运用遗传算法进行迭代寻优,PHEV的系统效率在第20代左右收敛于全局最优值。同时发动机转矩和CVT速比通过多代遗传进化,较快收敛于最佳值。将相关优化结果与车速、加速度拟合成相应的三维控制数表,综合数值建模和试验测试数据建模的方法,基于MATLAB/Simulink搭建插电式混合动力汽车整车控制策略仿真模型,采用新欧洲行驶循环工况进行仿真验证。结果表明:插电式混合动力汽车在电量保持模式下,利用遗传算法优化的系统效率最优控制策略相比优化前,动力电池SOC运行更为平稳,CVT效率有所提升,驱动电机及发动机转矩分配更为合理;百公里燃油消耗量从优化前的5.2 L降至4.5 L,燃油经济性提升了13.5%。 相似文献
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C. Ma J. Kang W. Choi M. Song J. Ji H. Kim 《International Journal of Automotive Technology》2012,13(3):505-516
A comparative study was performed on two types of plug-in hybrid electric vehicles (PHEVs): the GM Volt and the Toyota Prius
Plug-in Hybrid. First, the powertrain models of the two vehicles were derived. Based on the dynamic models, a detailed component
control algorithm was developed for each PHEV. Specifically, a control algorithm was proposed for motor generator 1 (MG1)
and MG2 to achieve optimal engine operation. Additionally, an energy management strategy for selecting the operation mode
was developed from the viewpoint of fuel economy, battery state of charge and vehicle velocity. Using the dynamic model of
the control algorithm for each PHEV, simulations were performed, and the simulation results were verified by comparing them
with those obtained using the Powertrain System Analysis Toolkit simulator for the plug-in Prius. Based on the simulation
results, a comparative study was performed, and it was found that the role and capacity of MG1 and MG2 and the mode selection
algorithm must be determined depending on the configuration of the PHEV. 相似文献
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