State Key Laboratory of Automotive Simulation and Control

Changchun, China

State Key Laboratory of Automotive Simulation and Control

Changchun, China

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Song Y.,Jilin University | Song Y.,Changchun Normal University | Shi S.,Jilin University | Shi S.,State Key Laboratory of Automotive Simulation and Control
Journal of Dynamical and Control Systems | Year: 2017

In this paper, we deal with fourth-order elliptic equations of Kirchhoff type with critical exponent in bounded domains, the new results about existence, and multiplicity of solutions are obtained by using the concentration-compactness principle and variational method. © 2016, Springer Science+Business Media New York.


Zhang D.,University of Lincoln | Gordon T.,University of Lincoln | Gao Y.,University of Lincoln | Zong C.,Liaoning University of Technology | Zong C.,State Key Laboratory of Automotive Simulation and Control
2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings | Year: 2016

This paper presents an intelligent electronic steering program (IESP), which combines steering shared control with electronic road departure mitigation control via individual wheel braking. It is based on a recently published control allocation and moderation method designed to improve the vehicle's cornering performance in friction-limiting conditions. Here we develop the concept further in terms of driver-vehicle cooperative control; the potential benefits of electronic power assistance steering system (EPAS) are modified to guide the driver's steering behavior. A number of experiments are conducted with different drivers, using a driving simulator. The results show how the proposed IESP provides a positive control influence. The work presents a new approach to vehicle active safety involving driver-vehicle interaction control for partially automated vehicles. © 2016 IEEE.


Wang C.,State Key Laboratory of Automotive Simulation and Control
Chinese Control Conference, CCC | Year: 2015

The stable operation of common rail system is significant for GDI engine and the rail pressure fluctuation affects the engine performance directly. The common rail volume and the cylinder diameter are the key structure parameters of common rail system to affect the rail pressure fluctuation. To design the structure parameters of high common rail system for decreasing the rail pressure fluctuation, the high common rail system model of GDI engine is established and the random algorithm is used to obtain the optimal controller parameters. Then, through the simulation experiments, the effects of structure parameters on the stability of common rail pressure are analyzed. Finally a basis is provide for optimally designing the parameters of the cylinder diameter and common rail volume. © 2015 Technical Committee on Control Theory, Chinese Association of Automation.


Chen H.,State Key Laboratory of Automotive Simulation and Control | Chen H.,Jilin University | Gong X.,Jilin University | Hu Y.-F.,Jilin University | And 3 more authors.
Zidonghua Xuebao/Acta Automatica Sinica | Year: 2013

Automotive control technology plays a significant role for the sustainable development of the auto-industry. Under gradually fierce circumstance of competition around the world, how to strengthen our capacity of independent research and development of auto-control technology through the innovation of theory and method presents a grand challenge of our time. This paper introduces the state of the art of automotive control focusing on the power-train control, active safety control and new energy vehicles control, then summaries their common problems and finally puts forward a series of perspective for the future researches. Copyright © 2013 Acta Automatica Sinica.


Lin X.,State Key Laboratory of Automotive Simulation and Control | Yuan F.-E.,State Key Laboratory of Automotive Simulation and Control | Huang Y.,State Key Laboratory of Automotive Simulation and Control
Lecture Notes in Electrical Engineering | Year: 2013

Test with optical single cylinder engine, in-cylinder with twin jet layout, dual spark plug ignition conditions, with the combination of calculation of 3D simulation software and experiment, analyzed the effect of different mixture concentration distribution characteristics of different jet and different ignition on the flame propagation, the temperature field, the lean combustion process and NOx emission characteristics. The result showed that the mixture concentration gradient near the spark plug in the organized lean combustion process had a great effect on the flame propagation and combustion stability. The greater the concentration gradient was, the circulation changes would be smaller, the combustion would be more stable, but the NOx emissions would increase; With the use of dual-point ignition, the air flow movement in the cylinder had a "traction" of the incipient flame, the difference moment of formation and of two flame and the interaction of the two flame affected the whole flame propagation; The NO was generated first when the temperature of cylinder was greater than 2,000 K and equivalence ratio was at the range of 0.8-1, within the range of the concentration of the mixture, the increasing of the temperature led to the significantly improving of the NO formation rate, and the maximum NO production rate appeared after the peak of the heat release rate. The thin out mixture led to the decreasing of the peak of heat release rate and the lag of the crank angle corresponding to the position led to the decreasing of NO formation rate. © 2013 Springer-Verlag Berlin Heidelberg.


Hao N.,Jilin University | Guo H.,Jilin University | Guo H.,State Key Laboratory of Automotive Simulation and Control | Chen H.,Jilin University | Chen H.,State Key Laboratory of Automotive Simulation and Control
Chinese Control Conference, CCC | Year: 2015

Due to highly nonlinear problems existing in the braking system of electric vehicles, a nonlinear controller based on feedback linearization is designed to improve the safety and stability of electric vehicles during the process of emergency brake. In order to demonstrate the effectiveness of the proposed controller, the simulations are carried out in the vehicle dynamics software veDYNA. © 2015 Technical Committee on Control Theory, Chinese Association of Automation.


Xu W.,Jilin University | Zhao H.,State Key Laboratory of Automotive Simulation and Control | Zhao H.,Jilin University | Ren B.,Jilin University | And 2 more authors.
Chinese Control Conference, CCC | Year: 2016

Regenerative braking control technology of electric vehicle plays a vital role in automotive energy-saving and environmental protection. Actually, there are two important aspects included in regenerative braking control. First and foremost is to maintain the vehicle safety during the braking process, and secondly is to maximize the energy recovery and minimize the energy consumption as far as possible. This paper proposes a regenerative braking control strategy to meet the above two aspects. In this research, the electric vehicle is assumed to keep straight line driving with a driver. First, according to the desired braking torques of the driver during braking process, the brake torque on front and rear axle respectively are allocated based on the tire load ratio, which makes sure that maximizing the use of tire adhesion during deceleration. Second, in order to deal with multi-objections and constraints for maximizing the energy recovery and minimizing the energy consumption, an model predictive controller is designed to distribute the brake torque between the hydraulic brake mode and the electric motor brake mode. In the end, the effectiveness of the proposed strategy is verified through the simulations of the electric vehicle model with four individually driven in-wheel motors based on Matlab/Simulink and AMESim software. © 2016 TCCT.


Wang J.H.,State Key Laboratory of Automotive Simulation and Control | Wang Y.C.,State Key Laboratory of Automotive Simulation and Control | Ding H.F.,State Key Laboratory of Automotive Simulation and Control | Xie F.,State Key Laboratory of Automotive Simulation and Control
Applied Mechanics and Materials | Year: 2013

This paper put forward a kind of vehicle anti-collision warning system and put the emphasis on the research of active control. It introduced the function and composition of the system and expounded its working principle. First the safety distance model was studied based on the vehicle kinetic theory. This model contained longitudinal and lateral safety distance model. And the longitudinal safety distance model can be further divided into Safety Critical distance, Lock-in Target distance, Danger Critical distance and Limited Critical distance. Then the dangerous targets were identified and classified based on safety distance model. Finally, according to different targets, the corresponding evasion control strategy and the control flow chart were established. © (2013) Trans Tech Publications, Switzerland.


Yin X.,State Key Laboratory of Automotive Simulation and Control | Yin X.,Xihua University | Zhong Y.,Xihua University | Wu X.,Xihua University | Lu H.,Xihua University
SAE Technical Papers | Year: 2014

The clutch-to-clutch gear-shift process of dual clutch transmission (DCT), which consists of the overlapping of the engagement of the incoming clutch and the disengagement of the outgoing clutch, is a vital stage for the shift quality improvement. The paper investigated an integrated control strategy for the gear-shift process that takes into account the influences of oil pressure of dual clutches and engine speed on shift quality. Firstly, the evaluation indices for the shift quality of DCT were summarized, and the factors affecting the shift quality were analyzed. Secondly, an integrated control strategy for dual clutches pressure and engine speed was proposed. Through analyzing the states of clutch in the gear-shift process and the desired traction torque for different gears, the strategies of variable oil pressure and invariable oil pressure were determined for every gear-shift process. Furthermore, a PID controller for engine speed and a fuzzy controller for clutch pressure were developed respectively. Finally, the simulation model for the gear-shift process of a wet-type DCT was built, and taking the shift jerk and the friction work as evaluation indices for the shift quality, the variable pressure strategy has been compared with the invariable pressure strategy via simulation experiments. Simulation results show that the fuzzy controller can make the actual clutch pressure trace the target pressure precisely in the gear-shift process and both the shift jerk and the friction work produced with the variable pressure strategy are less than those produced with the invariable pressure strategy for all up- and downshift processes of DCT. Copyright © 2014 SAE International.


Xu F.,State Key Laboratory of Automotive Simulation and Control | Xu F.,Jilin University | Chen H.,State Key Laboratory of Automotive Simulation and Control | Chen H.,Jilin University | And 2 more authors.
IEEE Transactions on Industrial Electronics | Year: 2016

Nonlinear model predictive control (NMPC) requires a repeated online solution of a nonlinear optimal control problem. The computation load remains the main challenge for the real-time practical application of the NMPC technique, particularly for fast systems. This paper presents a fast NMPC algorithm implemented on a field-programmable gate array (FPGA) that employs a particle swarm optimization (PSO) algorithm to handle nonlinear optimization. The FPGA is used to explore the possibilities of parallel architecture for the substantial acceleration of NMPC. PSO is employed to achieve real-time operation due to its naturally parallel capabilities. The proposed FPGA-based NMPC-PSO controller consists of a random-number generator, a fixed-point arithmetic, a PSO solver, and a universal asynchronous receiver/transmitter communication interface. Then, this controller is applied to an engine idle speed control problem and demonstrated with an FPGA-in-the-loop testbench. The experimental results indicate that the NMPC-on-FPGA-chip strategy has good computational performance and achieves satisfactory control performance. © 2015 IEEE.

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