混合动力汽车整车控制器硬件电路与CAN总线通信的设计开发

设计开发了一种基于CAN总线的并联式混合动力整车控制器,包括硬件的模块化设计、底层驱动软件设计及CAN总线的应用。混合动力总成硬件在环仿真试验表明,该控制器功能强大、性能可靠,准确实现了并联式混合动力汽车的整车控制功能。     

并联式混合动力电动汽车动力总成控制策略的仿真研究

分析了并联式混合动力电动汽车(PHEV)动力总成的构成及主要传递参数,阐述了电力辅助控制策略以及控制逻辑的具体实现,建立了PHEV动力总成各子系统包括发动机、电机和电池等的仿真模型,利用建立的仿真软件进行了控制策略及其控制参数的仿真研究。仿真结果表明,电池特性及发动机运行参数对整车的性能有较大的影响,根据不同的控制要求,调整相应的控制参数值,可以达到改善整车性能的目的。     

柴油机混合动力总成硬件在环仿真系统硬件设计

介绍了一种新型集成硬件在环仿真系统,并利用该仿真系统进行了柴油机动力总成系统和混合动力控制器的仿真试验.结果表明,该集成式硬件在环系统在集成了两种硬件在环仿真系统功能的同时,还可以对仿真系统和仿真策略进行优化,可为柴油机动力总成控制系统和混合动力总成控制系统的前期开发提供很好的仿真平台.     

基于dSPACE的混合动力汽车控制系统设计

根据某并联式混合动力汽车（PHEV）特定结构形式,在确定其主要动力部件的基础上,提出一种以转矩为主要控制对象的管理策略。文章通过建模工具MAT—LAB／Simulink建立了混合动力汽车控制系统模型;采用DS1401／1501的dSPACE实时仿真环境自动生成控制器实时代码。dSPACE的实时仿真系统具有与被控系统的硬件接口,可以与实际电机、电池等系统直接相连,进行实车试验。通过试车场路况测试,验证了本文所提出的转矩管理策略的合理性和优越性。     

柴油机混合动力控制器硬件在环仿真系统设计

通过对客车柴油机混合动力控制系统的分析,设计开发了柴油机混合动力控制器(HCU)的硬件在环仿真系统,详细介绍了系统方案和混合动力仿真模型的建立,通过Matlab/Simulink,Matlab/Stateflow,C语言和汇编语言混合编程的方法,研制了HCU硬件在环仿真的软件系统;基于V850E MCU研制了仿真控制器HILECU,研制了HCU硬件在环仿真的硬件系统,最后以单轴并联混合动力系统为对象,进行了混合动力控制器HCU硬件在环仿真试验研究。     

混合动力汽车动力总成硬件在环仿真系统开发

介绍了基于CAN总线的混合动力汽车整车控制器动力总成硬件在环仿真系统的开发。采用MO-TOROLA的高性能32位芯片MC68376,完成了整车相应的模拟信号和数字信号的产生、转换以及发送和接收;采用LabView软件开发了PC机监控界面;在PC机上完成了发动机平均值模型、电机模型和蓄电池模型的开发。整个开发过程表明,该系统能加快开发周期,节约开发成本。     

并联式混合动力环卫车电控系统可靠性研究

由于混合动力汽车添加了驱动电机、动力电池组、电机控制器、电池管理器、整车控制器等模块,使其电控系统更加复杂,电磁环境也更加苛刻,传统汽车电控系统设计难以保证其可靠性要求。本文以SX5256DH434PHEV型并联式混合动力环卫车为研究对象,应用分布式层次化控制策略,通过分析电控系统可靠性的影响因素(振动、电磁干扰、散热、防水),提出了并联式混合动力环卫车电控系统控制器与线束的布置方案;可靠性试验结果反映了电控系统设计的可行性和布置方案的合理性。     

HEV控制器硬件在环仿真平台的研究与开发

针对控制器传统开发方法中存在的局限性以及混合动力汽车动力传动系统控制的复杂性,应用控制系统现代开发技术,为某型混合动力客车多能源动力总成控制器开发了硬件在环仿真测试平台,该平台包括实时硬件和系统模型、信号调理电路等,并利用它对控制器进行了仿真测试。仿真测试结果与试验结果说明,所开发平台模型的精度基本能够满足仿真测试要求。控制器的环境试验和在EMC试验中的成功应用以及控制器在车上的正常运行,验证了在混合动力汽车多能源动力总成控制器的开发过程中采用自行开发硬件在环仿真测试平台这一技术方案的可行性。     

混合动力轿车动力总成控制系统的研发

开发了一种并联式HEV的动力总成控制系统,可实现HEV能量管理和状态切换控制。动力总成控制系统在硬件在环测试中进行了功能验证和调试,在实际路面上进行了实车功能和性能试验。实车试验结果表明所研发的动力总成控制策略具有良好的控制品质,能够满足混合动力电动汽车的使用要求。     

基于MPC555的混合动力电动汽车整车控制器硬件系统设计

介绍了一种基于32位MPC555微控制器的并联式混合动力电动汽车整车控制器(HCu)硬件系统的设计。阐述了几个重要模块的电路原理和系统的电磁兼容性设计方法。给出了利用硬件在环仿真测试和发动机台架试验进行硬件系统功能验证的结果。试验证明,所开发的HCU工作可靠、能够实现目标控制功能。     

Hydraulic control system design for a PHEV considering motor thermal management

In this paper, a design method for a PHEV hydraulic control system was proposed considering motor thermal management. Dynamic models of the target PHEV were developed including the hydraulic system, which consists of one mechanical and one electric oil pump. The required motor cooling flow was designed based on the motor temperature, which was obtained from a one-dimensional thermal equivalent circuit model including the heat source and oil spray cooling. Combining the PHEV powertrain model, hydraulic control system model, and the motor thermal model including the cooling system, an integrated simulator was developed for the target PHEV. Using the integrated simulator, the temperatures of MG1 and MG2 were investigated for various motor cooling flow rates when the PHEV underwent a highway driving cycle. The energy consumption of the hydraulic control system was also evaluated. It was found from the simulation results that a hydraulic control system of the target PHEV could be designed that satisfied the required flow for the motor cooling, lubrication and brake control using the design procedure proposed in this study.     

混合动力电动汽车能量自适应模糊控制研究

为了实现混合动力电动汽车两种能量的最佳分配,确保电机、蓄电池的合理运行,建立了前向并联式混合动力电动汽车动力系统模型,提出了采用自适应模糊控制方法对动力系统进行能量分配,设计了控制器,讨论了自组织控制器的规则自我调整过程。整车循环工况仿真试验表明该控制具有较强的鲁棒性,可使电机、发动机、蓄电池等动力设备工作于最佳工况。     

Plug-in混合动力汽车动力总成优化设计研究

应用PSAT前向仿真软件,建立了双离合器式并联PHEV仿真模型.在确定了PHEV整车性能约束条件并对动力总成主要部件进行了成本分析之后,对不同伞电力续驶哩程和动力电池类型的PHEV动力总成进行了优化.结果表明:动力电池设计容量对整车成本影响最大,而它主要取决于所要求的全电力续驶里程;随着所要求的全电力续驶里程的增大,所需电机最大输出功率升高,而发动机最大输出功率则降低.     

A comparative study on the power characteristics and control strategies for plug-in hybrid electric vehicles

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.     

Vehicle Models for RTS Applications

A vehicle system dynamics model is presented that captures the essential braking and handling behavior of a passenger car and runs faster than real-time on a 1998 Pentium 233 MHz laptop computer. The simulation code was generated with the AutoSim multibody code generator and linked with C functions that communicate with braking hardware to create a real-time simulation (RTS) with hardware in the loop (HITL). Techniques are described that were used to allow the simulation program to work with HITL. The model (without controller) was also integrated with the Simulink environment to provide a design tool for control engineers.     

Vehicle Models for RTS Applications

A vehicle system dynamics model is presented that captures the essential braking and handling behavior of a passenger car and runs faster than real-time on a 1998 Pentium 233 MHz laptop computer. The simulation code was generated with the AutoSim multibody code generator and linked with C functions that communicate with braking hardware to create a real-time simulation (RTS) with hardware in the loop (HITL). Techniques are described that were used to allow the simulation program to work with HITL. The model (without controller) was also integrated with the Simulink environment to provide a design tool for control engineers.     

汽车电子控制系统快速开发

车辆动力学仿真软件提供控制算法离线仿真平台,车辆模型、传感器、快速开发系统、零部件和控制系统硬件构成硬件和环试验平行,动力传动系和制动系、测功机及其控制器和控制系统硬件组成测功机硬件在环试验台,而车载开发平台包括样车、数据采集系统、传感器和控制系统硬件。在完成控制原型快速开发的基础上,完成基于目标控制器的控制系统快速开发。实例表明：上述开发流程大大缩短了开发周期。     

Nonlinear feedforward–feedback control of clutch-to-clutch shift technique

To improve the shift quality of the vehicle with clutch-to-clutch gear shifts, a nonlinear feedforward–feedback control scheme is proposed for clutch slip control during the shift inertia phase. The feedforward control is designed based on flatness in consideration of the system nonlinearities, and the linear feedback control is given to accommodate the model errors and the disturbances. Lookup tables, which are widely used to represent complex nonlinear characteristics of powertrain systems, appear in their original form in the designed feedforward controller, while the linear feedback controller is calculated through linear matrix inequalities such that the control system is robust against the parameter uncertainties. Finally, the designed controller is tested on an AMESim powertrain simulation model, which contains a time-variant model of clutch actuators.