Fuzzy Control Strategy and Simulation for ISG-Type Hybrid Electric Vehicles

Fuzzy control strategy is used to study the fuel economy of ISG-Type hybrid electric vehicle with CVT.Based on the instantaneous state of vehicle,the fuzzy logic controller is built aiming to get minimum fuel consumption.In order to avoid the subjective factor,the control rules are established with the optimized results from the sequence quadratic programming(SQP) method.Through the second development of ADVISOR,the simulation for ISG hybrid electric vehicle at different cycles has been accomplished.The results show that the fuzzy logic control strategy is efficient in improving the fuel economy of hybrid electric vehicle.     

Hardware-in-loop Simulation on Regenerative Braking for Hybrid Electric Powertrain with ISG

Regenerative braking is one of main performance modes, which can reduce fuel consumption and emission. A dynamics braking control model is built for hybrid electric vehicle with ISG, an off-line simulation is completed. A regenerative braking rig in dSPACE environment is built on the hybrid electric powertrain. The tests and analyses for different speed, deceleration shift and clutch state is completed in a Hardware-In-Loop simulation, which lays a foundation for the optimization of regenerative braking control strategy for HEV.     

Control Strategy for Asychronized Turbogenerators

Asynchronized Generator can better solve the excessive reactive and stability problem in power system.In order to improve the dynamic and transient performances of an asynchronized turbogenerator(ASTG),excitation control equation of it in the dynamic synchronous reference frame is presented.Control results are simulated in the synchronous and dynamic synchronous reference frames for ASTG.It is shown that the dynamic and transient performances in the dynamic synchronous reference frame are better than those in the synchronous reference frame.Consequently,the control strategy of dynamic synchronous reference frame can shorten more time on the dynamic process of ASTG.     

Analysis on Control Strategy for a Kind of Uncertain Complexity System

In practical industrial fields, it is very difficult to control uncertain complexity object effectively, because there are various uncertainties from internal dynamic characteristic and external, surroundings disturbance for controlled object. Its complexity is not only shown in structure, but also in information relation, so it is uneasy to implement it on technology. Aimed at selecting puzzle of control strategy for uncertain complexity system control, the authors describe cybernetics model based on analysis on some kinds of control strategy and contrastive research, and the model is applied in physical engineering system successfully. Finally, the authors point out that intelligent control strategy should be selected for uncertain complexity system control, and that Human Simulation Intelligent Control is a wise choice.     

Research on Current Situation and Trend of Control Strategies for Hybrid Electric Vehicles

The vehicle's driving performances is determined by the control strategies and constructions of hybrid electric vehicles (HEV). The constructions of HEV are classified according to the change of state of charge of battery pack, and a study on current situation and trend of control strategies for HEV is presented in this paper. The research indicated that the current control strategies for HEV are not perfect and need further optimization. The control strategies should realize the optimum match among engine, motor, battery and transmission according to the characteristics of each component and vehicle's driving conditions. Many aspects including the fuel economy, emission, the life of battery pack, drivability, the reliability of each component and HEV's manufacture cost should be considered in the control strategies. A study on the control strategies and its optimization that take account of the aspects mentioned above is a work emphasis in the future. This paper also points out the PHEV equipped with small motor, small engine and continuously variable transmission is an ideal system construction for getting optimal fuel economy, lower emissions, steady drivability, lower manufacture cost and HEV's mass.     

Study and Simulation on Control Strategy for CVT Ratio in HEV when Regenerative Braking

In order to satisfy the safety of vehicle braking and the fuel economy,a control strategy for regenerative braking force distribution is proposed by considering of battery SOC and braking severity.In addition,a CVT speed ratio control strategy is proposed to operate the motor in the high efficiency area to improve motor generating efficiency.A simulation model of mild hybrid electric vehicle is set up.Simulation result on ECE+EUDC typical driving cycles show that the effectively regenerating energy of braking of hybrid vehicle with CVT is lager than that of hybrid vehicle with MT by 2.5%.     

Simulation of The Torque Control System of Motor for Hybrid Vehicle

A strategy for induction motor control based on the grade of errors is developed to improve the performance of hybrid vehicle drive system. The stator flux error, electric magnetic torque error and flux position angle are used as control variables, and rules for the switching states are chosen according to the errors and the principle of the Direct Torquc Control. This strategy improves efficiently the electric magnetic torque response of the system. The result of simulation shows that this strategy is an ideal control strategy of hybrid vehicle, which can make the motor generate the electric magnetic torque efficiently, steadily and quickly.     

Application for Hybrid Electric Vehicle Based on CAN Bus

The paper introduces the application of CAN bus in the Hybrid Electric Vehicle, studies the CAN bus technique and the design based on the node of CAN bus, and provides a network topology mode. The theories foundation and basis for new generation automotive are provided, which are combined to introduce the hardware constitutes and software method for the node of CAN bus.     

Simulation and Analysis of Vehicle Powertrain Based on CRUISE

Power train modeling brings a great deal of inconvenience to the research of vehicle for its complication and long period. Modeling and simulating with professional software can increase efficiency obviously. By introducing the functions and characteristics of CRUISE, a simulation model of manual transmission is built. This software is not only convenient, simple and universal, but also direct-viewing and easy to debugging. With this software, a large amount of time is saved and simulation results and modify parameters are analyzed expediently; therefore, system design can be achieved fleetly.     

Analysis and Research on VVT System Control Strategy for Motorcycle Engine

An original variable valve timing mechanism with two-mode intake timing parameters is developed according to the structural characteristics of small-medium displacement motorcycle engine. Based on cycle simulation, a cycle simulation model of VVT mechanism for motorcycle engine is created. The control strategy of variable valve timing and lifting running-model are carried out at idle speed low negative load, middle negative load, low speed high negative load and high speed high negative load. It has been proved that the performance of JH125 motorcycle engine can be effectively improved by loading the new type VVT system.     

Synthetic Control Strategy for a Car With Hydro-mechanical Continuously Variable Transmission System at Standing Start

Continuously variable transmission (CVT) is the ideal transmission for automobile, it is also one of the most important research items of researchers and automobile companies all over the world. The dynamic simulation model is established and integrated control strategy of standing start is proposed for dual mode CVT vehicle, aiming at automatic vehicle with torque converter as a starter and metal pushing belt as a higher transmission equipment (Dual mode CVT vehicle), on the base of engine and torque converter performance experiment. Simulation result shows that vehicle performance can be improved by using the control strategy proposed. The research results provide the theory method of analyzing and designing for CVT vehicle.     

Simulation for the Power System of Fuel Cell/battery Electric Vehicle

The developmemt and research of taking fuel cell /battery as electric vehicle power is a new direction in abroad. A real-time simulation model for power driving system of a fuel cellbattery powered electric virtual vehicle is established. This electric vehicle powered primarily by 30 kw proton exchange membrane (PEM)fuel cells, with Lead-acid battery as assistant power, and with focus classis as virtual vehicle classis.The electric vehicle is simulated on the advisor platform, and the NEDC driving pattern simulation results show that the electric vehicle can satisfy the need of performance.     

Parameter Design for the Power Train and Simulation of the Dynamic Performance of Elctrical Vehicle

The method and principle of the parameter design for the power train of EV is explored and discussed,then the parametersof EV. based on SC7101 are reasonably selected.The method of calculating the SOC of Lead_acid battery is provided and the relation among the electromotive force,the interior resistance, the polarized resistance and the SOC are analyzed. The capacity is compensated according to the relation between the capacity and the temperature, which is the basis on which the energy management system is designed and improved. The dynamic model which reflects the dynamic characteristics of the power train is established,then the dynamic performance of the EV based on SC7101 is simulated, and the factors that affect the continuous mileage of EV are analyzed,the measures to increase the continuous mileage are provided.The result shows that the analysis of the electric characteristics of battery and the dynamic model are correct,and the dynamic performance perfectly meets the need of the design target.     

Vehicle Lateral Stability Control Based on Sliding Model Control

In view of the vehicle cornering or path changing under ultimate handling maneuver, a 3-DOF nonlinear vehicle dynamics model which takes the vehicle lateral velocity, yaw rate and body roll angle as the State variables is presented. Based on the dynamic analysis, the method which using additional yaw moment produced by different longitudinal braking force among each wheels to improving vehicle handling stability in emergency situations is discussed. Considering the sideslip angle as one of the vehicle state variables is difficult to measuring, the sideslip angle estimation based on vehicle dynamic model and kinematics is designed. And then, based on the theory of siding model control, the combining sliding model control system is founded, which taking the vehicle yaw rate and body side-slip angle errors between the estimated and the real as the input variables, and taking the braking torque and the steering angle as control aims. The simulation results indicate that the control method can effectively improve the vehicle lateral handling stability.     

Power Train of a New Type of Hybrid Electric Vehicle

The powertrain of a new type of zero emission electric vehicle is researched, which powered primarily by air-breathing proton exchange membrane (PEM )fuel cells with gaseous hydrogen as fuel,and with Lead-acid battery as assistant power.The fuel cell system provides power for the vehicle while the vehicle travel at a cruising speed,and the exceed power will charge for battery.The fuel cell and the battery system will together provide power to the vehicle during periods of peak power demand such as vehicle acceleration or traveling at a high constant speed.At the same time, the powertrain parameter of this fuel cell vehicle are matched reasonably.At last, the dynamic of an electric vehicle is simulated, and the result shows that the dynamic performance perfectly meets the need of the design target.     

Strategy to Control Motor Vehicle Emission Particulate Matter

Particulate matter has become one of the major pollutants causing environmental pollution and affects human health. Motor vehicle particulate matter emissions accounted for more than 60% of the pollutants. At present, research on motor vehicle particulate matter emissions has inadequate systematic control strategies. This paper first analyzes the draw of the motor vehicle particulate matter formation mechanism and influencing factors. According to the statistics of the China Motor Vehicle Pollution Prevention Annual Report, mathematical models of the number of cars, the number of low speed motor vehicles and the number of motor vehicles with particulate matter emissions are presented using MATLAB, and the total amount of motor vehicle particulate emissions in the next five years is predicted. The results show that the motor vehicle particulate emissions increases every year and reached 1.032 2 million tons in 2015. Low-speed vehicle number PM emissions will gradually be reduced slowly, mainly influenced by national policies. Finally, according to the analysis and forecasting results, an effective motor vehicle particulate matter emission control strategy is put forward.     

Complex Correlation System Control Based on Human Simulation Intelligence

Because there are lots of difficulties in mathematic modeling for uncertainty complex object, so it is not suitable to utilize traditional methods in some aspect such as identification, analysis, synthetical design and implementation. Especially, for the idea of system modeling, it is very different in comparison with traditional mathematic modeling, therefore, it is very difficult to study control problem for uncertainty system in technology and theory. On the basis of summarizing characteristics of uncertainty complex object, present to establish generalized control model, and apply intelligent control strategy to implement control effectively. In addition, authors also studied control algorithm and system structure. Engineering practice shows that it is effective and successful to establish generalized control model, and select intelligent control strategy for uncertainty control system.     

水稻褐飞虱防控策略

褐飞虱近年对水稻的为害愈来愈严重,为探讨新的防控策略,笔者从飞虱的主要越冬虫源地、成灾原因及综合防控等分析认为：（1）对中国水稻为害极重的褐飞虱,真正成灾的越冬虫源应主要来自16°N以南的地区,尤其是越南南部与泰国南部的湄公河三角洲区域。（2）水稻褐飞虱的成灾原因既与越战后东盟国家大力发展水稻等粮食作物种植,且在耕作制度上也相应地由高秆改矮秆、单季改双季甚至三季,密集程度和施肥程度有所提高有关,又与国内水稻品种多、生育期不一,在防控上不能统一行动,用药混杂和过量有关,还与全球气候变暖更利于飞虱的繁衍与迁移,以及杂交水稻可能更利于飞虱类的繁衍有关。因此,要彻底防控水稻褐飞虱的为害,要“防控前移”,到飞虱的发源地-湄公河三角洲区域去实施以生态治理为核心的综合防治技术,一方面帮助其提高水稻产量,改良水稻种植模式,压缩冬春稻种植面积;另一方面帮助其发展经济,构建世界热带水果与特种经济植物基地,同时组建大型粮食生产加工集团,以及开展褐飞虱防控国际间合作;对迁入代要及早治理,并且以县为单位组建植物保护公司,再利用飞虱对某些水稻品种特别嗜好性,构建飞虱诱集区,形成聚而歼之的主战场。     

Simulation analysis of control strategy for electric power steering system

The mathematical model of the electric power steering (EPS) system is developed,and control strategy is designed by the way of frequency analysis using Bode diagram,on a basis of steering feel expression．A complete model used for analysis of automotive steering characteristic,with four tire and three freedom vehicle models is built．In order to meet optimal goals,including steering agility,return ability and steering effort requirements of drivers, the rule of controller parameter values under the condition of different speeds and steering torques is concluded through numerous simulation tests．     

甘蔗杂交品种初级核心种质取样策略

以国家甘蔗种质资源圃中1 202份甘蔗杂交品种为材料,根据23个数量和质量性状,从分组原则、组内取样比例、组内取样方法3个层次探讨构建甘蔗杂交品种初级核心种质的最佳取样策略,共形成26种取样策略;同时设10个总体取样量梯度,确定最佳的总体取样量。分组原则以原产地、种植区域、总体聚类进行分组及不分组的大随机;组内取样比例按组内个体数量的简单比例(P)、平方根比例(S)、对数比例(L)和多样性比例(G)确定;组内取样方法采用聚类(C)和随机(R) 2种方法;10个总体取样量梯度为5%、10%、15%、20%、25%、30%、35%、40%、45%和50%。应用变异系数、遗传多样性指数、表型保留比例、表型频率方差、表型方差等5个参数来检验各取样策略的优劣。结果表明,聚类取样优于随机取样;总体聚类分组优于其他分组;在聚类取样中,平方根比例最好,在随机取样中,多样性比例最好;根据取样策略及总体取样量的分析结果最终确认按10%总体取样量,以总体聚类分组、按对数比例在组内聚类取样为构建甘蔗杂交品种初级核心种质的最佳策略组合,其遗传多样性明显高于总资源库。在此初级核心种质的基础上,加入极值材料和取样极易丢失表型性状的材料共计136份组成最终初级核心种质,占总资源的11.31%。