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International Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014

作者： Ma, Jun Yan Qu, Da Wei Li, Jun State Key Laboratory of Automotive Simulation and Control Jilin University China

ISBN: (纸本)9783038352464

NOx emission of diesel engine is an important pollutant to the environment, in the bench test of SCR technology for the diesel engine NOx reducing effect. Diesel engine NOx to ESC test cycle emission by 10.73 g kw× h,down to 3.24 g kw× h;ETC test cycle of the diesel engine NOx emission decreased from 9.533 g kw× h to 2.98 g kw× h, the diesel engine emissions to meet Euro IV emission standards. Experimental results showed that SCR can effectively reduce NOx emission of diesel engine and the pollution of the environment. © (2014) Trans Tech Publications, Switzerland.

关键词： Diesel engines

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Autonomous driving in the uncertain traffic--a deep reinforcement learning approach

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The Journal of China Universities of Posts and Telecommunications 2018年第6期25卷 21-30,96页

作者： Yang Shun Wu Jian Zhang Sumin Han Wei State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun 130022China Institute of Microelectronics Chinese Academy of SciencesBeijing 100029China

representation capability of deep learning(DL) and the optimal decision making and control capability of reinforcement learning(RL), is a good approach to address this problem. Traffic environment is built up by combining intelligent driver model(IDM) and lane-change model as behavioral model for vehicles. To increase the stochastic of the established traffic environment, tricks such as defining a speed distribution with cutoff for traffic cars and using various politeness factors to represent distinguished lane-change style, are taken. For training an artificial agent to achieve successful strategies that lead to the greatest long-term rewards and sophisticated maneuver, deep deterministic policy gradient(DDPG) algorithm is deployed for learning. Reward function is designed to get a trade-off between the vehicle speed, stability and driving safety. Results show that the proposed approach can achieve good autonomous maneuvering in a scenario of complex traffic behavior through interaction with the environment.

关键词： autonomous driving complex traffic scenario DRL DDPG

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simulation of artificial lighting comfort of cab for high-speed train

Simulation of artificial lighting comfort of cab for high-sp...

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International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2014

作者： Wang, Xue Liang Cui, An Xu, Wen Qiang Zhang, Qian State Key Laboratory of Automotive Simulation and Control Jilin University China

ISBN: (纸本)9783038350606

The artificial lighting level and visual comfort of drivers for a high-speed train cab are evaluated by using computer simulation technology. The simulation model is established first, and then some lighting quality indexes, such as illuminance, illuminance uniformity and glare, are analyzed based on related design standards. Considering the effects of environmental lighting on driver's physiology and psychology, the analysis on environmental psychology for driver of the cab are conducted also. The evaluation method proposed in the paper is significant for improving artificial lighting design of high-speed train cab. © (2014) Trans Tech Publications, Switzerland.

关键词： Glare

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Physical modeling of shock absorber using large deflection theory

Physical modeling of shock absorber using large deflection t...

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SAE 2012 World Congress and Exhibition

作者： Chen, Yuhang Guo, Konghui Yang, Yehai Zhuang, Ye State Key Laboratory of Automotive Simulation and Control Jilin University China

In this paper, a shock absorber physical model is developed. Firstly, a rebound valve model which is based on its structure parameters is built through using the large deflection theory. The von Karman equations are introduced to discover the physical relationships between the load and the deflection of valve discs. An analytical solution of the von Karman equations is then deducted via perturbation method. Secondly, the flow equations and the pressure equations of the shock absorber operating are investigated. The relationship between fluid flow rate and pressure drop of rebound valve is analyzed based on the analytical solution of valve discs deflection. Thirdly, an inter-iterative process of flow rate and pressure drop is employed in order to adequately consider the influence of fluid flow on damping force. Finally, the physical model is validated by comparing the experimental data with the simulation output. The validation results show the physical model herein well matches the experiment curve. The large defection theory is an efficient and accurate method to build rebound valves model of shock absorber. Copyright © 2012 SAE International.

关键词： Pressure drop

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Research on control strategy of in-wheel-motor vehicle electro-mechanical braking system

Research on control strategy of in-wheel-motor vehicle elect...

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International Conference on Manufacturing Engineering and Intelligent Materials, ICMEIM 2015

作者： Song, S.X. Fan, S.Q. Wang, Q.N. State Key Laboratory of Automotive Simulation and Control Jilin University China

ISBN: (纸本)9781138028326

Based on the analysis of the braking process of In-wheel-motor vehicle, an electro-mechanical hybrid braking system control strategy is proposed for In-wheel-motor vehicle, and a solution for the realization of this control strategy is designed. A simulation model is established in AMESim and Simulink platform, and the simulation and analysis are conducted under NEDC circulations. The simulation results show that the control strategy proposed has an advantage in terms of energy recovery, and the control strategy makes the actual braking force distribution of the In-wheel-motor vehicle close to the ideal braking force distribution curve (I-curve), which improves the brake stability of In-wheel-motor vehicle substantially. The solution proposed is an ideal electro-mechanical hybrid braking system solution of In-wheel-motor vehicle. © 2015 Taylor & Francis Group, London.

关键词： Simulink

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Disturbance Observer Based control for Four Wheel Steering Vehicles With Model Reference

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IEEE/CAA Journal of Automatica Sinica 2018年第6期5卷 1121-1127页

作者： Shuyou Yu Jing Wang Yan Wang Hong Chen State Key Laboratory of Automotive Simulation and Control and with the Department of Control Science and EngineeringJilin UniversityChangchun 130012China Bosch Automotive Products(Suzhou)Co. LtdSuzhou215021China Huachen Auto Group Shenyang 110141China

This paper presents a disturbance observer based control strategy for four wheel steering systems in order to improve vehicle handling stability. By combination of feedforward control and feedback control, the front and rear wheel steering angles are controlled simultaneously to follow both the desired sideslip angle and the yaw rate of the reference vehicle model.A nonlinear three degree-of-freedom four wheel steering vehicle model containing lateral, yaw and roll motions is built up, which also takes the dynamic effects of crosswind into *** disturbance observer based control method is provided to cope with ignored nonlinear dynamics and to handle exogenous disturbances. Finally, a simulation experiment is carried out,which shows that the proposed four wheel steering vehicle can guarantee handling stability and present strong robustness against external disturbances.

关键词： Disturbance observer based control four wheel steering handling stability model reference.

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Estimating NOx Sensor Ammonia Cross-Sensitivity Factor Using a Data-Driven Approach in SCR Systems 7

Estimating NOx Sensor Ammonia Cross-Sensitivity Factor Using...

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7th CAA International Conference on Vehicular control and Intelligence, CVCI 2023

作者： Wang, Ning Gong, Xun Hu, Yunfeng Sun, Yao State Key Laboratory of Automotive Simulation and Control College of Artificial Intelligence Jilin University Changchun China State Key Laboratory of Automotive Simulation and Control College of Telecommunications Engineering Jilin University Changchun China State Key Laboratory of Automotive Simulation and Control College of Automotive Engineering Jilin University Changchun China

ISBN: (纸本)9798350340488

Selective Catalytic Reduction (SCR) is a module used in the aftertreatment system to mitigate the nitrogen oxides (NOx) emissions, and it can be affected by cross-sensitivity, resulting in a decrease in control performance and even controller failure. A commonly adopted approach is estimating the cross-sensitivity factor to correct the downstream NOx concentration, but the current estimation strategies often incur relatively high costs. In this paper, we propose a novel and more cost-effective method based on data-driven for estimating the cross-sensitivity factor. Specifically, we design a network architecture based on Long Short-Term Memory (LSTM) and attention mechanism. LSTM is utilized to capture the non-linear relationship between input features, historical information, and the cross-sensitivity factor. The introduced attention mechanism allows the model to focus more on important information, thereby further improving the estimation accuracy. This method eliminates the need for complex mechanism modeling and parameter calibration, and reduces the computational burden during online operation, resulting in significant time and computational resource *** simulation experiments conducted transient bench data validate the excellent performance of the designed cross-sensitivity factor estimator, as evidenced by comparative analysis with three alternative methods, and demonstrate the rationality of feature selection through the feature ablation analysis. © 2023 IEEE.

关键词： aftertreatment attention cross-sensitivity factor Long Short-Term Memory

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Optimal Lane Change control of Intelligent Vehicle Based on MPC 31

Optimal Lane Change Control of Intelligent Vehicle Based on ...

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第31届中国控制与决策会议

作者： Yihe Zhong Lulu Guo Yuxiang Zhang Qifang Liu Hong Chen State Key Laboratory of Automotive Simulation and Control Jilin University Department of Control Science and Engineering Jilin University

ISBN: (纸本)9781728101071;9781728101064

This paper mainly focuses on optimal lane change problem of intelligent *** multi-constraint model predictive control method is employed to implement real-time trajectory planning without a pre-defined *** lane change problem can be formulated as a nonlinear optimization problem with multiple constraints and can be solved by real-time optimization of MPC-based *** verify the effectiveness of the proposed optimal lane change control controller,Simulink and Carsim co-simulations are conducted in two lane change scenarios under three different working *** simulation results demonstrate that the proposed optimal lane change control controller controller is enough sustainable and applicable for many driving conditions.

关键词： Intelligent vehicle lane change nonlinear model predictive control(NMPC) multiple constraints trajectory planning

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A Dynamic-decoupling controller of Current for Permanent Magnet Synchronous Motor 29

A Dynamic-decoupling Controller of Current for Permanent Mag...

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第29届中国控制与决策会议

作者： Mingxing Zhao Haiyan Zhao Hong Chen Department of Control Science and Engineering Jilin University State Key Laboratory of Automotive Simulation and Control Jilin University

ISBN: (纸本)9781509046584

The problem of current coupling in permanent magnet synchronous motor(PMSM) will affect control performance of the motor. The id = 0 control in the field-oriented control(FOC) can realize the static decoupling of current and improve the steady-state performance of the system. But this method does not solve the dynamic coupling problem of current, which will reduce the dynamic performance of the motor. Therefore, aiming at the problem of current dynamic coupling in PMSM system, a dynamic-decoupling controller of current based on Lyapunov stability theory is proposed in this paper. In order to solve the problem of controller gain selection in engineering, a random algorithm is adopted to narrow the range of controller gain. Compared with PID controller, the proposed controller can greatly decrease the number of controller gain and reduce the burden of controller gain selection simultaneously. Finally, the validity of proposed controller is verified by the model of PMSM system established in MATlab/Simulink.

关键词： Permanent Magnet Synchronous Motor Field-oriented control Dynamic-decoupling controller Lyapunov Stability Random Algorithm

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Creep Speed Tracking control of the AMT Vehicles 36

Creep Speed Tracking Control of the AMT Vehicles

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第36届中国控制会议

作者： Jie Zhang Jinlong Hong Bingzhao Gao Hong Chen State Key Laboratory of Automotive Simulation and Control Jilin University Department of Control Science and Engineering Jilin University

ISBN: (纸本)9781538629185

When AMT vehicles are driven under crowded conditions,the vehicle speed should be kept at a low level through clutch ***,owing to relatively large noise to the low vehicle speed,it is difficult to measure the vehicle speed accurately,instead,in this paper,the transmission output shaft speed is adopted to control the vehicle *** improve speed tracking performance,a gain-scheduling PI controller is proposed to keep AMT vehicles tracking the creep speed,which can deal with system *** coefficients of the controller are tuned by intensive off-line ***,simulation results illustrate that the controller can drive the vehicle at a low speed quickly and accurately,and the requirements of the tracking performance can be met.

关键词： AMT Creep Speed Gain-scheduling Speed Tracking control

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