Adaptive neural network based fuzzy control for a smart idle stop and go vehicle control system

Idle stop and go (ISG) is a low cost but very effective technology to improve fuel efficiency and reduce engine emissions by preventing unnecessary engine idling. In this study, a new method is developed to improve the performance of conventional ISG by monitoring traffic conditions. To estimate frontal traffic conditions, an ultra-sonic ranging sensor is employed. Several fuzzy logic algorithms are developed to determine whether the engine idling is on or off. The algorithms are evaluated experimentally using various data gathered in real areas with traffic congestion. The evaluation results show that the method developed can reduce the chance of false application of ISG significantly while improving fuel efficiency up to 15%.     

发动机智能怠速停止起动系统控制策略的研究

在介绍了发动机怠速停止起动系统工作原理的基础上,分析了发动机怠速和重新起动时的燃油消耗量,以及目前怠速停止起动系统的缺点。结果表明,短时间的怠速停止反而会因需要重新起动而增加发动机油耗。为此设计了一种汽车发动机智能怠速停止起动系统的控制策略,它能够根据交通信号灯确定的停车时间的长短来决定是否执行怠速停止。     

考虑发动机起停优化的PHEV能量管理策略

针对某新型双电机行星耦合插电式混合动力汽车(PHEV)中发动机在起停及怠速运行状态下会导致油耗增加的问题,基于等效燃油消耗最小能量管理策略,加入发动机起停优化控制模块,以进一步改善整车燃油经济性。建立了整车动力学和传动模型并加入发动机起停优化控制模块,对ECMS能量管理策略输出的发动机及电机最优目标转矩进行重新优化分配后,再输出给发动机及电机控制器以控制其工作状态。针对起停优化控制中影响起停频次的关键时间参数,采用粒子群优化算法对其进行优化。仿真结果表明,相比优化前,所提出的能量管理优化策略能够实现对发动机起停或怠速状态的有效控制,减少发动机的起停频次,减少恶化油耗,验证了本文所提出的能量管理优化策略能够进一步优化整车燃油经济性。     

Gain-scheduled EGR control algorithm for light-duty diesel engines with static-gain parameter modeling

This paper presents a model-based gain scheduling algorithm of a PI-based EGR controller for light-duty diesel engines. In order to capture nonlinear characteristic of the EGR system, we have proposed a new scheduling variable to illustrate the static-gain of the plant model as a linear function. The proposed scheduling variable is composed of the air-tofuel ratio of the exhaust gas and the pressure ratio between the exhaust and intake manifolds. Using the scheduling variable, a static-gain model achieved 0.94 of the R-squared value with 810 of steady-state measurements which include key engine operating conditions. Based on the model of the static-gain parameter, the gains of the PI controller are decided by Skogestad internal model control (SIMC) tuning rule in real-time. Through various scenarios of engine experiments, the proposed gain scheduling algorithm represented that the PI gains were successfully adapted according to the changes of the engine operating conditions.     

Modeling and control of engine starting for a full hybrid electric vehicle based on system dynamic characteristics

This paper focuses on the dynamic modeling and control of engine starting for a Full Hybrid Electric Vehicle (FHEV) consisting of an Integrated Starter Generator (ISG) and Dual Clutch Transmissions (DCTs). The dynamic characteristics of the engine, the ISG motor and the main clutch are analyzed respectively. The dynamic models of the main components of the powertrain system are also established taking the system dynamic characteristics into consideration. The FHEV dynamic model of engine starting during electric driving mode has been investigated in detail. The coordinated control strategy of engine starting has been proposed based on the powertrain system dynamic characteristics. The simulation for the engine starting control during electric driving mode has been performed based on the Matlab/Simulink platform. The simulation results show that the proposed control strategy satisfies the requirements of response and smoothness during engine starting process. Furthermore, a bench test has been carried out to analyze the system characteristics during engine starting process. The test data is highly agreeable to the simulation data and the effectiveness of engine starting control strategy is validated by the comparison between simulation results and the test data.     

Decoupled robust control of vehicular platoon with identical controller and rigid information flow

Platoon driving has potential to significantly benefit road traffic. This study presents a decoupled robust control strategy for a vehicular platoon with identical feedback controller and rigid information topology. The node dynamics of vehicle with a lower-level controller is assumed to be covered by a multiplicative uncertainty model. The vehicular platoon control system is skillfully decomposed into an uncertain part and a diagonal system by applying linear transformation and eigenvalue decomposition on information flow graph. Then the requirements of robust stability and distance tracking error are equivalent to the H-infinity norm of decoupled sub-systems. Comparative simulations with a non-robust controller and different communication topologies are conducted to demonstrate the robust stability and distance tracking performances of the proposed method.     

DC Motor Current Control Algorithm Using Proportional-Integral LQT with Disturbance Observer

This paper proposes a DC motor current control algorithm using a proportional-integral linear quadratic tracking (LQT) controller with a disturbance observer for the electronic stability control (ESC) brake system. Previously researched algorithms related to current control using disturbance rejection are robust control, adaptive control, LQT, or proportional-integral disturbance observer (PI-DOB); each of them has both advantages and disadvantages. The proposed algorithm uses a disturbance observer in order to improve disturbance rejection performance while avoiding the drawbacks of high gain property. Additionally, the proposed algorithm adds integral control in order to improve performance in the low frequency bands. In order to assess the performance of the proposed algorithm, simulations and experiments are performed in the time and frequency domains to compare the proposed algorithm with different algorithms which are actually implemented into the ESC. The proposed algorithm shows good characteristics near the cut-off frequency, which can be confirmed clearly by the time domain results.     

Development of an idle speed engine model using in-cylinder pressure data and an idle speed controller for a small capacity port fuel injected SI engine

An idle speed engine model has been proposed and applied for the development of an idle speed controller for a 125 cc two wheeler spark ignition engine. The procedure uses the measured Indicated Mean Effective Pressure (IMEP) at different speeds at a constant fuel rate and throttle position obtained by varying the spark timing. At idling conditions, IMEP corresponds to the friction mean effective pressure. A retardation test was conducted to determine the moment of inertia of the engine. Using these data, a model for simulating the idle speed fluctuations, when there are unknown torque disturbances, was developed. This model was successfully applied to the development of a closed loop idle speed controller based on spark timing. The controller was then implemented on a dSPACE Micro Autobox on the actual engine. The Proportional Derivative Integral (PID) controller parameters obtained from the model were found to match fairly well with the experimental values, indicating the usefulness of the developed idle speed model. Finally, the optimized idle speed control algorithm was embedded in and successfully demonstrated with an in-house built, low cost engine management system (EMS) specifically designed for two-wheeler applications.     

车用汽油发动机空燃比及点火控制系统

本文介绍了自行研制的ＣＡ４８８Ｑ发动机空燃比及点火控制系统，详细介绍了系统的组成和空燃比及点火提前角的控制方法，台架实验结果表明，采用该系统后ＣＡ４４８Ｑ发动机的动力性，经济性及怠速稳定性都较原化油器发动机有明显的改善。     

单轴并联式混合动力总成的设计

设计完成了驱动电机与电控共轨柴油机结合而成的混合动力汽车动力总成,该总成用于单轴并联式混合动力汽车。驱动电机既是电驱动装置,又是起动、发电一体化系统(ISG),基于MC 68H9S12DP256B单片机,研制了该总成的控制系统,通过CAN总线实现了联合控制,以电池充放电平衡和发动机燃油经济性为基础,应用了一种模糊逻辑控制策略,实现了混合动力系统的扭矩分配与不同工作模式以及模式间的切换,该总成能够在所要求的工作模式下运转。     

电动助力转向系统控制策略的研究

在分析现有的各种助力控制策略的基础上,着重讨论了基于传统控制理论设计的电机控制策略与系统性能的关系,其中包括电流闭环PI控制器的参数设计及电流给定算法设计。最后,将这些基于简化线性系统模型的控制设计结果应用于电动助力转向系统的非线性仿真模型之中,仿真结果证明了这样的控制设计有效,在这种简单的控制结构下,系统的控制性能也能达到要求。     

电容式混合动力轿车整车控制策略研究

设计开发了双离合器、单轴并联ISG电机结构的电容式混合动力轿车。深入研究该混合动力系统控制策略,对车辆运行工况进行了严格划分,优化了各工况下发动机、电机的扭矩分配。通过大量台架标定实验对各工况入口参数及控制参数进行了优化匹配,并在Matlab/Simulink仿真平台和转毂试验台架上对该控制策略进行了验证。     

混合动力汽车整车控制器开发和试验研究

以ISG(起动机/发电机一体化)混合动力汽车为对象,对车辆转矩需求、发动机工作区优化和整车控制策略进行了分析,开发了基于MC9S12DP256的整车控制器硬软件系统,并进行了实车试验,实现了发动机起动、纯发动机驱动、混合驱动、驻车充电等多种工作模式,证明了该整车控制器功能设计的合理性和控制策略设计的有效性.     

Novel coordinated algorithm for Traction Control System on split friction and slope road

A Traction Control System (TCS) is used to avoid excessive wheel-slip via adjusting active brake pressure and engine torque when vehicle starts fiercely. The split friction and slope of the road are complicated conditions for TCS. Once operated under these conditions, the traction control performance of the vehicle might be deteriorated and the vehicle might lack drive capability or lose lateral stability, if the regulated active brake pressure and engine torque can’t match up promptly and effectively. In order to solve this problem, a novel coordinated algorithm for TCS is brought forward. Firstly, two brake controllers, including a basic controller based on the friction difference between the two drive wheels for compensating this difference and a fuzzy logic controller for assisting the engine torque controller to adjust wheel-slip, are presented for brake control together. And then two engine torque controllers, containing a basic PID controller for wheel-slip control and a fuzzy logic controller for compensating torque needed by the road slope, are built for engine torque control together. Due to the simultaneous and accurate coordination of the two regulated variables the controlled vehicle can start smoothly. The vehicle test and simulation results on various road conditions have testified that the proposed method is effective and robust.     

一种基于预测的电控汽油机怠速稳定性控制方法

根据发动机怠速工作过程的非线性、时变性和不确定性，分析了传统怠速稳定性控制的控制机理及存在的不足，提出了一种基于预测的发动机怠速稳定性控制方法——动态矩阵预测控制(DMC)算法，并建立了预测控制模型。试验表明，该预测控制方法能够较好地克服各种不确定性因素和复杂变化对怠速稳定性的影响。     

Development of an Active Control Engine Mount System

In an attempt to reduce idling vibration and booming noise in automobile engines, the authors have developed an engine mounting system we call the ACM(Active Control engine Mount) system. Comprising a pair of electromagnetic actuators and hydraulic mounts, the system incorporates an adaptive control strategy based on the synchronized filtered-X LMS (SFX) algorithm. The crank angle pulse signal is detected as the synchronization signal and the force transmitted to the car body through the engine mounts is detected as a residual signal. Application of the ACM system to a vehicle with a transversally mounted four-cylinder engine resulted in significantly reduced idling vibration and booming noise.     

基于非线性模型的发动机非稳态工况控制

针对发动机非稳态工况,建立了非线性模型.设计了滑模控制器和PID控制器分别对节气门开度和点火时刻进行自适应调节.对发动机怠速工况进行仿真的结果表明,发动机转速波动幅值低于6 r/min,表明所建的非线性模型适合于发动机非稳态工况控制.     

Development of an Active Control Engine Mount System

In an attempt to reduce idling vibration and booming noise in automobile engines, the authors have developed an engine mounting system we call the ACM(Active Control engine Mount) system. Comprising a pair of electromagnetic actuators and hydraulic mounts, the system incorporates an adaptive control strategy based on the synchronized filtered-X LMS (SFX) algorithm. The crank angle pulse signal is detected as the synchronization signal and the force transmitted to the car body through the engine mounts is detected as a residual signal. Application of the ACM system to a vehicle with a transversally mounted four-cylinder engine resulted in significantly reduced idling vibration and booming noise.     

Torque ripple minimization control of permanent magnet synchronous motors for EPS applications

This paper identifies a control method used to reduce torque ripple of a permanent magnet synchronous motor (PMSM) for an electric power steering (EPS) system. NVH (Noise Vibration Harshness) is important for safe and convenient driving. Vibration caused by motor torque is a problem in column type EPS systems. Maintaining a very low torque ripple is one solution that allows for smoother steering. Theoretically, it is possible to design and drive the motor without torque ripple. However, in reality, a PMSM system torque ripple is caused by the motor itself (saturation in the iron core and EMF distortion) and the imperfect driver. This paper analyzes torque ripple of a PMSM system, and an advanced PMSM control method for the column typed EPS system is presented. Results of the analysis indicate that the compensation current is needed in order to minimize torque ripple when a PMSM is driven.     

串联式混合动力辅助动力单元动态控制研究

提出了一种柴油机辅助动力单元(APU)动态控制器的结构,基于Z iegler-N ichols整定方法设计了发电机励磁电流PI控制器,根据闭环系统稳定性和跟踪性能试验测试设计了转速和转矩耦合PI控制器,基于稳定性准则设计了APU系统动态过程控制策略。混合动力试验表明,APU控制器保证了APU动态过程中的稳定性,跟踪性能比较满意。