混合动力汽车故障诊断功能的开发

主要介绍了混合动力汽车故障诊断开发的主要内容,结合实际混合动力量产开发项目,基于ISO14229诊断服务的要求,重点论述了故障诊断开发过程中故障监测,诊断数据管理和诊断服务3方面的基本功能及其实现方式。     

排气系统热管理及装置开发研究

阐述了排气系统热管理的必要性和实施办法.设计一种EGTC装置,用于实现排气温度的瞬时可控,对实现排气温度热管理具有重要作用.     

小排量汽油机缸孔变形分析

降低小排量汽油机的机油耗,提升其经济性和排放性能是目前发动机设计的重要任务,文章从研究缸孔变形规律的角度出发,建立了小排量汽油机缸孔变形的整体接触模型,在基于缸垫非线性属性的基础上,分析缸孔在名义螺检预紧力作用下的缸孔变形量。结果表明,对于4缸小排量汽油机,第2缸和3缸的变形情况相似,第4缸的变形最大。采用有限元的计算方法,可以完整而准确的获得缸孔变形的全面信息,为结构的优化提供可靠的依据,     

轿车用转向节试验方法

为了减少转向节作为安全件在客户使用过程中发生疲劳及冲击断裂的风险,文章对轿车用转向节设计验证方法进行研究,采用台架疲劳试验和台架冲击试验的方法对某轿车用转向节进行了验讧。通过试验,加强了样件薄弱处的设计并对不合格样件进行了整改。经批量市场考验,通过台架疲劳及冲击验证的转向节在客户使用过程中减少了断裂的风险,提高了产品的质量,具有非常高的使用价值。,     

Model-based design of a variable nozzle turbocharger controller

Variable Nozzle Turbocharger (VNT) was invented to solve the problem of matching an ordinary turbocharger with an engine. VNT can harness exhaust energy more efficiently, enhance intake airflow response and reduce engine emissions, especially during transient operating conditions. The difficulty of VNT control lies in how to regulate the position of the nozzle at different engine working conditions. The control strategy designed in this study is a combination of a closed-loop feedback controller and an open-loop feed-forward controller. The gain-scheduled proportional-integral-derivative (PID) controller was implemented as the feedback controller to overcome the nonlinear characteristic. As it is difficult to tune the parameters of the gain-scheduled PID controller on an engine test bench, system identification was used to identify the plant model properties at different working points for a WP10 diesel engine on the test bench. The PID controller parameters were calculated based on the identified first-order-plus-dead-time (FOPDT) plant model. The joint simulation of the controller and the plant model was performed in Matlab/Simulink. The time-domain and frequency-domain performances of the entire system were evaluated. The designed VNT control system was verified with engine tests. The results indicated that the real boosting pressure traced the target boosting pressure well at different working conditions.     

Modified lateral control of an autonomous vehicle by look-ahead and look-down sensing

This paper presents a modified lateral control method for an autonomous vehicle with both look-ahead and look-down sensing systems. To cope with sensor noise and modeling uncertainty in the lateral control of the vehicle, a modified LMI-based H lateral controller was proposed, which uses the look-ahead information of the lateral offset error measured at the front of vehicle and the look-down information of the vehicle yaw angle error between the reference lane and the centerline of the vehicle. To verify the safety and the performance of the lateral control, a scaled-down vehicle was developed, and the positioning of the vehicle was estimated with USAT. The proposed controller, which uses both look-ahead and look-down information, was tested for lane changing and reference lane tracking with both simulation and experiment. The simulation and experimental results show that the proposed controller has better tracking and handling performance compared with a controller that uses only the look-ahead information of the target heading angle error.     

Design framework for FlexRay network parameter optimization

Because the FlexRay protocol has more than 70 configuration parameters and these parameters correlate with each other, designing a FlexRay network is a complex and difficult task. In this study, we propose a design framework that optimizes the two main FlexRay network parameters that are highly relevant to the application algorithm. The design process is composed of two steps for optimizing parameters. In the first step, the static slot length is optimized using a frame-packing algorithm. This algorithm binds network signals into static frames based on their periods and signal groups. In the second step, the communication cycle length is optimally designed with frame-scheduling algorithm and worst-case reponse time analysis. Based on the frame-scheduling algorithm, the response times are analyzed. The proposed design framework was applied to a unified chassis control system as a case study, and the analytical results were verified.     

Advance-F automatic car-following model and its traffic characteristics

This study develops a longitudinal control model for automatic car-following with one switch and two controllers. The switch is operated using fuzzy logic to activate acceleration or trigger braking. The two controllers activate the acceleration pedal and the brake system and use reference adaptive control theory. A simulation is utilized to evaluate the acceptability of the proposed model and to compare the traffic characteristics between machine driving (by the proposed model) and human driving (as represented by the GM-V model). The simulation results indicate that this model is acceptable and is both safe and efficient for use in traffic. However, the automatic car-following system is more aggressive than humans are, which may be the primary challenge in implementation.     

Engine performance and toxic gas analysis of biobutanol-blended gasoline as a vehicle fuel

A comprehensive study evaluating the performance of biobutanol-blended gasoline in passenger cars was conducted because biobutanol is considered a better biofuel than bioethanol as it has no water solubility and it has a higher caloric value, giving it a higher energy value. Several kinds of samples—suboctane gasoline, 8 volume percentage and 16 volume percentage biobutanol—blended gasoline, and a 10 volume percentage MTBE-blended market sample (as the oxygencontaining gasoline)-were tested to evaluate the engine performance in terms of the detergency of the intake valves and combustion chambers, power, emissions, and fuel efficiency. Additionally, the toxicity of the emissions from these biobutanolblended samples was tested in order to assess the viability of biobutanol as one of the competitive potential substitutes for MTBE as an oxygenator in the near future. The results show that biobutanol-blended gasoline samples had relatively better detergency, relatively higher power, and similar levels of emissions compared with those of MTBE-blended gasoline. Formaldehyde was emitted from all of the samples at almost the same levels and within the error range, whereas biobutanolblended gasoline samples emitted approximately three times the amount of acetaldehyde than did the suboctane gasoline. This study shows that biobutanol is one of the best alternative bioalcohol fuels for use in the near future.