中度混合动力汽车燃油经济性预测控制研究

利用车载全球定位系统(Global Position System,GPS)和地理信息系统(Geographic Information System,GIS)所提供的混合动力汽车未来一段预测路线上的道路交通信息、以及汽车当前运行状态模型,建立混合动力汽车在未来一段预测路线上的运行状态模型;以蓄电池荷电状态为系统状态变量,电动机/发电机转矩为决策变量,混合动力汽车等效燃油消耗量最低为优化控制目标函数,运用动态规划逆序算法,建立了中度混合动力汽车预测控制数学模型;研究了混合动力汽车转矩分配的最优控制方法,并就如何减少动态规划法的计算量进行了研究。文中给出了某混合动力汽车的最优控制计算实例结果。     

PSO algorithm-based parameter optimization for HEV powertrain and its control strategy

The coordination between the powertrain and control strategy has significant impacts on the operating performance of hybrid electric vehicles (HEVs). A comprehensive methodology based on Particle Swarm Optimization (PSO) is presented in this paper to achieve parameter optimization for both the powertrain and the control strategy, with the aim of reducing fuel consumption, exhaust emissions, and manufacturing costs of the HEV. The original multi-objective optimization problem is converted into a single-objective problem with a goal-attainment method, and the principal parameters of powertrain and control strategy are set as the optimized variables by PSO, with the dynamic performance index of HEVs being defined as the constraint condition. Computer simulations were carried out, which showed that the PSO scheme gives preferable results in comparison to the ADVISOR method. Therefore, fuel consumption and exhaust emissions of HEVs can be effectively reduced without sacrificing dynamic performance of HEVs.     

并联式混合动力汽车模式切换控制策略研究

并联式混合动力汽车模式切换时离合器会介入传动系统,容易引起较明显的冲击感,是影响整车驾驶舒适性的主要因素。为此,提出了基于离合器双模糊和电机转矩协调的模式切换控制策略。首先建立混合动力汽车模式切换过程的动力学模型,以减小离合器滑磨功为目标,对模式切换时的离合器接合过程进行划分;其次,结合混合动力汽车模式切换的基本要求和驾驶意图,制定离合器双模糊控制策略,分别对滑摩阶段的接合时长和转矩同步阶段的压力变化率进行控制;然后以离合器滑磨功和整车冲击度为优化目标,采用二次型最优控制算法对滑摩阶段的接合压力进行优化,从而获取模式切换过程中离合器的最优接合压力轨迹;在此基础上,通过实时计算离合器传递转矩,根据电机转矩响应快的特点,制定电机转矩协调控制策略;最后,基于某混合动力试验样车,在底盘测功机上分别进行缓加速、中等加速和急加速下的模式切换试验,对所提出的控制策略进行验证。试验结果表明：该策略能较好地反映驾驶人驾驶意图,保证离合器的使用寿命,所产生的整车冲击度均处于合理范围之内,改善了整车模式切换过程中的驾驶舒适性。     

Advanced hybrid energy storage system for mild hybrid electric vehicles

Hybrid electric vehicles (HEV) utilize electric power and a mechanical engine for propulsion; therefore, the performance of HEVs is directly influenced by the characteristics of the energy storage system (ESS). The ESS for an HEV generally requires high power performance, long cycle life, reliability and cost effectiveness; thus, a hybrid energy storage system (HESS) that combines different types of storage devices has been considered to fulfill both performance and cost requirements. To improve the operating efficiency and cycle life of a HESS, an advanced dynamic control regime in which pertinent storage devices in the HESS can be selectively operated based on their status is presented. Verification tests were performed to confirm the degree of improvement in energy efficiency. In this paper, an advanced HESS with a battery management system (BMS) that includes an optimal switching control function based on the estimated state of charge (SOC) is presented and verified.     

Vehicle dynamics control of an electric-all-wheel-drive hybrid electric vehicle using tyre force optimisation and allocation

ABSTRACT

Hybrid Electric Vehicles (HEV) offer improved fuel efficiency compared to conventional vehicles at the expense of adding complexity and at times, reduced total power. As a result, HEV generally lack the dynamic performance that customers enjoy. To address this issue, the paper presents a HEV with electric All-Wheel-Drive capabilities via the use of torque vectoring electric rear axle drive (TVeRAD) to power the rear axle. The addition of TVeRAD to a front wheel drive HEV improves the total power output. To improve the handling characteristics of the vehicle, the TVeRAD provides torque vectoring at the rear axle. A bond graph model of the drivetrain is developed and used in co-simulation with CarSim. The paper proposes a control system which utilises control allocation to optimise tyre forces. The proposed control system is tested in the simulation environment with a high fidelity CarSim vehicle model. Simulation results show the control system is able to maximise vehicle longitudinal performance while avoiding tyre saturation on low mu surfaces. More importantly, the control system is able to track the desired yaw moment request on a high speed double lane change manoeuvre through the use of the TVeRAD to improve the handling characteristic of the vehicle.     

Bees-algorithm-based optimization of component size and control strategy parameters for parallel hybrid electric vehicles

This paper presents the optimization of key component sizes and control strategy for parallel hybrid electric vehicles (parallel HEVs) using the bees algorithm (BA). The BA is an intelligent optimization tool that mimics the food foraging behavior of honey bees. Parallel HEV configuration and electric assist control strategy were used to conduct the research. The values of the key component size and the control strategy parameters were adjusted according to the BA to minimize the weighted sum of fuel consumption (FC) and emissions, while the vehicle performance satisfies the PNGV constraints. In this research, the software ADVISOR was used as the simulation tool, and the driving cycles FTP, ECE-EUDC and UDDS were employed to evaluate FC, emission and dynamic performance. The results demonstrate that the BA is a powerful tool in parallel HEV optimization to determine the optimal parameters of component sizes and control strategy, resulting in the improvement of FC and emissions without sacrificing vehicle performance. In addition, the BA is able to define a global solution with a high rate of convergence.     

Development of test system for motor of hybrid electrical vehicle

The motor units of hybrid electric vehicles (HEVs) have been developed with the aim of achieving good fuel economy and low emissions. We have developed a system for evaluating the performance of an HEV motor unit under various driving patterns. We review the function and performance of this system.     

Motor control of input-split hybrid electric vehicles

A motor control strategy for an input-split hybrid electric vehicle (HEV) is proposed. From a power characteristic analysis, it is found that the powertrain efficiency decreases for speed ratios at which power circulation occurs. Using dynamic models of an input-split HEV powertrain, a motor-generator control algorithm for obtaining high system efficiency is designed by inversion-based control. The performance of the control algorithm is evaluated by the simulator which is developed based on PSAT, and simulation results are compared with the test results. It is found that, even if the engine thermal efficiency is sacrificed by moving the engine operation point from the OOL for the control strategy, improved overall powertrain system efficiency can be achieved by the engine operation that gives a relatively high efficiency from the viewpoint of the overall powertrain efficiency. The control algorithm developed can be used in design of future electric vehicles.     

Control strategy for clutch engagement during mode change of plug-in hybrid electric vehicle

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.     

基于Simulink/Cruise的6AT液力变矩器闭锁性能联合仿真

根据液力变矩器的工作原理及闭锁条件,制定液力变矩器控制策略。利用Simulink建立液力变矩器控制模型,并利用Cruise和Simulink进行联合仿真,验证控制策略的可行性。仿真结果表明,液力变矩器控制模型正确,闭锁离合器能够准确按照闭锁条件闭锁,并且可以显著改善车辆的燃油经济性和排放性能。本文的研究可以为液力变矩器的闭锁研究提供一定的理论依据。     

混合动力电动汽车的发展

混合动力电动汽车是当今解决汽车节能与排污问题的有效途径，本文阐述混合动力电动汽车的不同型式和特点，以及目前混合动力电动汽车的发展现状，指出发展混合动力电动汽车必须解决的关键技术问题。     

Combined control of a regenerative braking and antilock braking system for hybrid electric vehicles

Most parallel hybrid electric vehicles (HEV) employ both a hydraulic braking system and a regenerative braking system to provide enhanced braking performance and energy regeneration. A new design of a combined braking control strategy (CBCS) is presented in this paper. The design is based on a new method of HEV braking torque distribution that makes the hydraulic braking system work together with the regenerative braking system. The control system meets the requirements of a vehicle longitudinal braking performance and gets more regenerative energy charge back to the battery. In the described system, a logic threshold control strategy (LTCS) is developed to adjust the hydraulic braking torque dynamically, and a fuzzy logic control strategy (FCS) is applied to adjust the regenerative braking torque dynamically. With the control strategy, the hydraulic braking system and the regenerative braking system work synchronously to assure high regenerative efficiency and good braking performance, even on roads with a low adhesion coefficient when emergency braking is required. The proposed braking control strategy is steady and effective, as demonstrated by the experiment and the simulation.     

Cooperative control for friction and regenerative braking systems considering dynamic characteristic and temperature condition

The braking system of hybrid electric vehicle (HEV) is composed of friction and regenerative braking system, meaning that braking torque is generated by the collaboration of the friction and regenerative braking system. With the attributes, there are two problems in the HEV braking system. First, rapid deceleration occurs due to dynamic characteristic difference when shifting the friction and regenerative braking systems. Second, the friction braking torque alters with temperature because the friction coefficient changes with the temperature. These problems cause the vehicle to be unstable. In this paper, the concurrence control and compensation control were proposed to solve these problems. And also, the concurrence control and compensation control were combined for the stability of the braking system. In order to confirm the effect of these control algorithms, the experiment and simulation were conducted. Consequently, it was confirmed that the control algorithm of this study improved the vehicle safety and stability.     

An investigation on motor-driven power steering-based crosswind disturbance compensation for the reduction of driver steering effort

This paper describes a lateral disturbance compensation algorithm for an application to a motor-driven power steering (MDPS)-based driver assistant system. The lateral disturbance including wind force and lateral load transfer by bank angle reduces the driver's steering refinement and at the same time increases the possibility of an accident. A lateral disturbance compensation algorithm is designed to determine the motor overlay torque of an MDPS system for reducing the manoeuvreing effort of a human driver under lateral disturbance. Motor overlay torque for the compensation of driver's steering torque induced by the lateral disturbance consists of human torque feedback and feedforward torque. Vehicle–driver system dynamics have been investigated using a combined dynamic model which consists of a vehicle dynamic model, driver steering dynamic model and lateral disturbance model. The human torque feedback input has been designed via the investigation of the vehicle–driver system dynamics. Feedforward input torque is calculated to compensate additional tyre self-aligning torque from an estimated lateral disturbance. The proposed compensation algorithm has been implemented on a developed driver model which represents the driver's manoeuvreing characteristics under the lateral disturbance. The developed driver model has been validated with test data via a driving simulator in a crosswind condition. Human-in-the-loop simulations with a full-scale driving simulator on a virtual test track have been conducted to investigate the real-time performance of the proposed lateral disturbance compensation algorithm. It has been shown from simulation studies and human-in-the-loop simulation results that the driver's manoeuvreing effort and a lateral deviation of the vehicle under the lateral disturbance can be significantly reduced via the lateral disturbance compensation algorithm.     

Model Predictive Coordinated Control for Dual-Mode Power-Split Hybrid Electric Vehicle

Power-split hybrid electric vehicles (HEVs) have great potential fuel efficiency and have attracted extensive research attention with regard to their control system. The coordinated controller in HEV plays an important role in tracking the optimal state reference generated by the energy management strategy (EMS), so as to reach the desired fuel efficiency. Meanwhile, the coordinated controller also has a significant impact on driving performance. To improve its performance, the design of a model predictive control (MPC) based coordinated controller in power-split HEV is presented. First, a non-linear, time-varying constrained control oriented transmission model of a dual-mode power-split HEV is formulated to describe this control problem. Then, to solve this problem, the non-linear part in the transmission model is linearised, and a linear MPC is used to obtain the control signals for the motors and engine at each time step. To meet the requirements of real-time computation, a fast MPC method is also applied to reduce the online computation effort. Simulations and experiments demonstrate the effectiveness of the proposed MPC-based coordinated controller.     

Nonlinear Robust Control of Torque Converter Clutch Slip System for Passenger Vehicles Using Advanced Torque Estimation Algorithms

In this paper, a torque-estimation-based robust controller for passenger car torque converter clutch slip system is presented. The proposed robust controller uses only the measurements available from inexpensive sensors that are installed in current passenger vehicles for torque estimation and feedback control. A conventional full state observer along with a neural-network-based open-loop hydraulic actuator observer is designed to estimate the unknown driving load, and a neural-network-based turbine torque estimator considering the temperature of oil circulating the torque converter is developed for improved turbine torque estimation accuracy. The stability of the internal dynamics is also investigated, and the performance and robustness of the robust controller is validated by simulation studies.     

电容式混合动力轿车硬件在环试验研究

针对电容式混合动力轿车整车控制器搭建了硬件在环试验平台,并作出了优化,实现了整个平台数据交互的“一线制”。详细论述了硬件在环试验流程,编制了上位机操控界面,配合使用基于CCP的在线标定软件在该硬件在环试验平台上对ISG电机基本助力扭矩MAP图和基本制动扭矩MAP图进行了初步标定,并在该实验台上取得了良好的仿真结果。     

SPFB3—323外分流液力机械变矩器的设计与研制

本文对外分流液力机械变矩器的多种方案作了分析,确定FB_2-323变矩器为原型变矩器。同时,计及行星传动中能量损失,进行了SPFB_2-323变矩器的特性计算,并且成功地研制出这种新型变矩器的样品。     

液力变矩器膨胀变形试验研究

液力变矩器在工作载荷下，同时受到油压的面力和旋转所产生的离心力作用而发生变形。其变形的大小将直接影响到液力变矩器的性能和在工作中与相邻零部件间的位置关系。通过设计和开发液力变矩器膨胀试验机的动态自动测试系统和试验装置，对液力变矩器的轴向位移进行了试验研究。得到液力变矩器在加压情况下膨胀变形大于在加速情况下的变形，且在加压情况下变形与腔内油压呈线性关系。     

双状态无级变速车辆起步控制

通过发动机和液力变矩器台架试验，采用拟合的方法得到发动机及变矩器模型，建立了用变矩器作起步装置的双状态无级变速传动系统动力学模型，提出了串联式双状态无级变速车辆起步控制策略和液力变矩器锁止离合器闭锁解锁控制规律，并进行了计算机仿真。