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1

Xu, Liang, Rui Guo, and Xiao Liu. "Virtual Validation and Verification Method of Brake System Model." Advanced Materials Research 1056 (October 2014): 177–81. http://dx.doi.org/10.4028/www.scientific.net/amr.1056.177.

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Model validation needs effective and efficient after development of the brake model. For the relatively high cost and limited coverage of test condition of the experimental verification, a virtual test environment of the brake system is established by using the vehicle model and the graphical interface of mature vehicle dynamics simulation software Carsim. Firstly, the brake system model is encapsulated into a dynamic link library. Then the new brake model according to the relationship between input and output of the brake system and vehicle through the S-function is integrated with Carsim vehicle model in Matlab/Simulink, replacing the Carsim brake model. Finally, the mixed model is verified though comparing with Carsim vehicle model in the same operation condition. The simulation results show that the validation and verification method are effective and low cost.
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2

ISOBE, Daisuke, and Tetsushi MIMURO. "Rollover Analysis of a Tricycle Using CarSim." Proceedings of the Transportation and Logistics Conference 2017.26 (2017): 1102. http://dx.doi.org/10.1299/jsmetld.2017.26.1102.

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3

Büttner, Antje, Karsten Siller, Adelheid Kraft-Malycha, Winfried Randerath, and Karl-Heinz Rühle. "Normwerte und Gütekriterien eines interaktiven Fahrsimulators (“carsim”)." Somnologie - Schlafforschung und Schlafmedizin 4, no. 3 (2000): 129–36. http://dx.doi.org/10.1007/s11818-000-0005-1.

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4

Lie, Guo, Ren Zejian, Ge Pingshu, and Chang Jing. "Advanced Emergency Braking Controller Design for Pedestrian Protection Oriented Automotive Collision Avoidance System." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/218246.

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Automotive collision avoidance system, which aims to enhance the active safety of the vehicle, has become a hot research topic in recent years. However, most of the current systems ignore the active protection of pedestrian and other vulnerable groups in the transportation system. An advanced emergency braking control system is studied by taking into account the pedestrians and the vehicles. Three typical braking scenarios are defined and the safety situations are assessed by comparing the current distance between the host vehicle and the obstacle with the critical braking distance. To reflect the nonlinear time-varying characteristics and control effect of the longitudinal dynamics, the vehicle longitudinal dynamics model is established in CarSim. Then the braking controller with the structure of upper and lower layers is designed based on sliding mode control and the single neuron PID control when confronting deceleration or emergency braking conditions. Cosimulations utilizing CarSim and Simulink are finally carried out on a CarSim intelligent vehicle model to explore the effectiveness of the proposed controller. Results display that the designed controller has a good response in preventing colliding with the front vehicle or pedestrian.
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5

Nguyễn Văn, Đông. "Hardware-in-the-loop simulation for estimating dynamics parameters of vehicle." Journal of Science and Technology Issue on Information and Communications Technology 17, no. 6 (2019): 39. http://dx.doi.org/10.31130/jst-ud2019-001.

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Information about vehicle dynamics states is indispensable for modern dynamics control system on vehicle today. For economic reasons, a technique called “virtual sensor” which bases on dynamical model of vehicle and an observation algorithm are used to estimate real states of vehicle. In this paper, a system based on Hardware-in-the-loop simulation will be used to estimate the vehicle states in real time. CarSim is a professional software for simulating the dynamics of vehicle which is used as a virtual vehicle in this paper. An observer based on Luen-berge method is developed and implemented by Arduino Mega 2560 board. Matlab/Simulink plays the role of acquistion and data transfer center. The simulation results show the good performance of observer in real time condtion when the estimated values are well converged to real values given by CarSim.
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6

Ren, Hongbin, Sizhong Chen, Gang Liu, and Kaifeng Zheng. "Vehicle State Information Estimation with the Unscented Kalman Filter." Advances in Mechanical Engineering 6 (January 1, 2014): 589397. http://dx.doi.org/10.1155/2014/589397.

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The vehicle state information plays an important role in the vehicle active safety systems; this paper proposed a new concept to estimate the instantaneous vehicle speed, yaw rate, tire forces, and tire kinemics information in real time. The estimator is based on the 3DoF vehicle model combined with the piecewise linear tire model. The estimator is realized using the unscented Kalman filter (UKF), since it is based on the unscented transfer technique and considers high order terms during the measurement and update stage. The numerical simulations are carried out to further investigate the performance of the estimator under high friction and low friction road conditions in the MATLAB/Simulink combined with the Carsim environment. The simulation results are compared with the numerical results from Carsim software, which indicate that UKF can estimate the vehicle state information accurately and in real time; the proposed estimation will provide the necessary and reliable state information to the vehicle controller in the future.
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7

Wang, Xingyu, Liguo Zang, Zhi Wang, Fen Lin, and Zhendong Zhao. "Study on the Stability Control of Vehicle Tire Blowout Based on Run-Flat Tire." World Electric Vehicle Journal 12, no. 3 (2021): 128. http://dx.doi.org/10.3390/wevj12030128.

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In order to study the stability of a vehicle with inserts supporting run-flat tires after blowout, a run-flat tire model suitable for the conditions of a blowout tire was established. The unsteady nonlinear tire foundation model was constructed using Simulink, and the model was modified according to the discrete curve of tire mechanical properties under steady conditions. The improved tire blowout model was imported into the Carsim vehicle model to complete the construction of the co-simulation platform. CarSim was used to simulate the tire blowout of front and rear wheels under straight driving condition, and the control strategy of differential braking was adopted. The results show that the improved run-flat tire model can be applied to tire blowout simulation, and the performance of inserts supporting run-flat tires is superior to that of normal tires after tire blowout. This study has reference significance for run-flat tire performance optimization.
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8

Žukas, Artūras. "APPLICATION OF COMPUTER PROGRAM CARSIM FOR MODELLING SINGLE AND DOUBLE LANE CHANGE MANOEUVRES / TAIKOMOSIOS PROGRAMOS „CARSIM“ PRITAIKYMAS, MODELIUOJANT VIENGUBĄ IR DVIGUBĄ JUDĖJIMO JUOSTOS PAKEITIMO MANEVRĄ." Mokslas - Lietuvos ateitis 4, no. 4 (2012): 397–402. http://dx.doi.org/10.3846/mla.2012.64.

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The paper analyzes the possibilities of using computer aided modelling programs for developing new cars to achieve better dynamical properties of control over vehicles. The article shortly reviews the behaviour of young and experienced drivers and models describing it. The paper covers the process of turning car steering wheel, considers acceptable values of lateral acceleration comfortable for a car driver and all car passengers and presents computer aided modelling program CarSim used for displaying single and double lane change manoeuvres at various speeds on dry asphalt. The given charts, including data about steering wheel angle and lateral acceleration values indicate single and double lane change manoeuvres performed by a car. Also, the values of longitudinal and lateral forces of each wheel during the double lane change manoeuvre are provided. Santrauka Straipsnyje nagrinėjamos kompiuterinių modeliavimo programų pritaikymo galimybės automobilių konstrukcijoms tobulinti, dinaminėms savybėms gerinti. Trumpai minimi vairuotojo elgseną aprašantys mokslininkų jau sukurti modeliai. Aptariamas vairo rato pasukimo procesas, pateikiamos priimtinos vairuotojui ir automobilio keleiviams nesudarančios diskomforto skersinio pagreičio reikšmės. Atliekama trumpa taikomosios kompiuterinio modeliavimo programos „CarSim“ apžvalga. Šia programa atlikti viengubo ir dvigubo judėjimo juostos pakeitimo manevrai, esant skirtingiems automobilio judėjimo greičiams ant sauso asfalto. Pateikti vairo rato pasukimo, skersinių pagreičių reikšmių grafikai. Taip pat pateiktos visus ratus veikiančių išilginių ir skersinių jėgų bei ratų slydimo reikšmės esant 90 km/h greičiui.
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9

Zhao, Shengchao, and Lijing Zhu. "Cruise Control System Based on Joint Simulation of CarSim and Simulink." OALib 05, no. 07 (2018): 1–8. http://dx.doi.org/10.4236/oalib.1104724.

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10

Biroš, Milan, Karol Kyslan, and František Ďurovský. "A HARDWARE-IN-THE-LOOP SIMULATOR BASED ON REAL SKODA SUPERB VEHICLE AND RT-LAB/CARSIM." Acta Polytechnica 55, no. 6 (2015): 366. http://dx.doi.org/10.14311/ap.2015.55.0366.

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This paper describes the design and realization of a hardware-in-the-loop simulator made from a real Skoda Superb vehicle. A combination of RT-LAB and CarSim software is used for real-time control and for handling the sensoric subsystems. The simulator provides almost realistic testing of driving cycles with on-line visualization. This unique device can be used in various fields of research.
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11

Li, Gang, Hang Yuan, Jing Shi, Ning Li, and Zhi Cheng Zhou. "Developing Simulation Model for Four In-Wheel Motor Electric Vehicle Based on Simulink." Advanced Materials Research 846-847 (November 2013): 22–25. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.22.

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The 15 DOF four in-wheel motor electric vehicle model is developed based on Matlab / Simulink. The model adopts modular design. The dynamic model equations, vehicle model diagram and the methods of each module modeling are presented. The model is verified by commercial software Carsim. The results show that the model is higher accuracy and it can be used for the control algorithm improvements and validation as a good platform.
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12

Hamaguchi, Masafumi, and Takao Taniguchi. "Emergency Avoidance Control System for an Automatic Vehicle – Slip Ratio Control Using Sliding Mode Control and Real-Number-Coded Immune Algorithm –." Journal of Robotics and Mechatronics 27, no. 6 (2015): 645–52. http://dx.doi.org/10.20965/jrm.2015.p0645.

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<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270006/06.jpg"" width=""300"" /> Vehicle behavior in emergency avoidance</div>The automotive industry facilitates research and development on intelligent transport systems. One area researched intensively to enhance passenger safety is the prevention of collisions by controlling steering and braking precisely. In this study, we assume that an automatic vehicle travelling on a highway is on a collision course with an obstacle. The purpose of this research is combining steering and braking to find a set of operations the vehicle can follow to avoid the projected collision. To do this, we propose slip ratio control using sliding mode control using a real-number-coded immune algorithm (IA). CarSim (produced by Mechanical Simulation Company) provides full vehicle dynamics with 27 degrees of freedom adopted as a vehicle model. Operation waveforms are generated by linear interpolation through designated data points. The IA, which is a coded real-number expression, is used to determine data points. Our proposal's efficiency is verified through emergency avoidance simulation using CarSim. Simulation results demonstrate operation that keeps tires from skidding using slip ratio control and halting the vehicle in the shortest braking distance possible.
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13

Mendoza-Petit, Mª Fernanda, Daniel Garcia-Pozuelo, Vicente Diaz, and Oluremi Olatunbosun. "A Strain-Based Method to Estimate Tire Parameters for Intelligent Tires under Complex Maneuvering Operations." Sensors 19, no. 13 (2019): 2973. http://dx.doi.org/10.3390/s19132973.

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The possibility of using tires as active sensors opens the door to a huge number of different ways to accomplish this goal. In this case, based on a tire equipped with strain sensors, also known as an Intelligent Tire, relevant vehicle dynamics information can be provided. The purpose of this research is to improve the strain-based methodology for Intelligent Tires to estimate all tire forces, based only on deformations measured in the contact patch. Firstly, through an indoor test rig data, an algorithm has been developed to pick out the relevant features of strain data and correlate them with tire parameters. This information of the tire contact patch is then transmitted to a fuzzy logic system to estimate the tire parameters. To evaluate the reliability of the proposed estimator, the well-known simulation software CarSim has been used to back up the estimation results. The software CarSim has been used to provide the vehicle parameters in complex maneuvers. Finally, the estimations have been checked with the simulation results. This approach has enabled the behaviour of the intelligent tire to be tested for different maneuvers and velocities, providing key information about the tire parameters directly from the only contact that exists between the vehicle and the road.
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14

Ha, Hyunuk, Jongmoo Kim, Shiuk Chung, and Jangmyung Lee. "Advanced VDC simulations of In-wheel electric vehicle using Carsim and Simulink." World Electric Vehicle Journal 6, no. 1 (2013): 95–99. http://dx.doi.org/10.3390/wevj6010095.

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15

Zhao, Shuai, Rui Guo, Liang Xu, and Xue Li Guo. "Modeling and Simulation of the Automatic Transmission Assembly Using Matlab/Simulink." Applied Mechanics and Materials 291-294 (February 2013): 2287–90. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2287.

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This paper concentrates on modeling and simulation of the automatic transmission assembly using Matlab/Simulink. The entire simulink model includes four major models. They are the torque convertor and its lockup clutch model, the automatic transmission gearbox model, the equivalent spring model and the logical model respectively. After building the model, a comparison between this Simulink model and Carsim software is provided and the result curves matches very well, which proves that the Simulink model is accurate.
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16

Hongbo, Wang, Sun Youding, Tan Hongliang, and Lu Yongjie. "Stability control of in-wheel motor driven vehicle based on extension pattern recognition." Science Progress 103, no. 4 (2020): 003685042095853. http://dx.doi.org/10.1177/0036850420958531.

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According to the characteristics that the torque of each wheel of the in-wheel motor driven vehicle is independent and controllable, the stability control of in-wheel motor driven vehicle based on extension pattern recognition method is proposed in this paper. The dynamic model of the vehicle is established by Matlab/Simulink and Carsim. Taking two-degree-of-freedom (2-DOF) vehicle model as reference model, the vehicle yaw rate and the sideslip angle as the control objectives. The differences between the actual values and the reference values of the yaw rate and the actual sideslip angle are used to define the vehicle stability status. The vehicle stability status is divided into four stability control patterns, which are the no control pattern, the yaw rate control pattern, the yaw rate and sideslip angle joint control pattern, and the sideslip angle control pattern, respectively. The extension pattern recognition algorithm is used to determine the vehicle control pattern. The fuzzy controllers of yaw rate and sideslip angle are designed to obtain the additional yaw moment. Besides, the optimal torque distribution method is proposed by taking the lowest total energy loss of four motors as the objective function. The feasibility and effectiveness of the proposed control strategy are verified by Matlab/Simulink and Carsim joint simulation platform and hardware-in-the-loop (HIL) test.
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17

Wang, Hongbo, Wei Cui, Zhi Xia, and Wuhua Jiang. "Vehicle lane keeping system based on TSK fuzzy extension control." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 234, no. 2-3 (2019): 762–73. http://dx.doi.org/10.1177/0954407019849257.

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In the traditional lane keeping system, a single control algorithm is used for global-region control, which often results in poor control effect in some control areas. In view of this problem, a control method combining the extension control and Takagi-Sugeno-Kang fuzzy control is proposed for lane keeping system control. The extension control strategy based on the idea of control with area division divides different control regions according to the states of the system, and adopts different control algorithms in different control areas to address the limitation of a single control algorithm. For the randomness and inaccuracy of artificial experience in control domain division, a method for control domain division based on the density distribution of characteristic plane is proposed in this article. In order to further improve and explore the performance of extension control, Takagi-Sugeno-Kang extension controller is designed with Takagi-Sugeno-Kang fuzzy control theory, and the extension control performance is improved when switching among different control algorithms. The proposed control strategy is simulated and tested on the CarSim/Simulink joint simulation platform and the CarSim/LabVIEW hardware-in-loop test bench, respectively. The results show that the proposed control strategy can effectively keep the vehicle near the center line of the lane, and both the lane keeping control accuracy and vehicle stability are improved, which guarantees driving safety and comfort.
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18

Zheng, Hong Yu, Bing Yu Wang, and Chang Fu Zong. "Research on Variable Steering Ratio of Vehicle Steer-by-Wire System Based on Joystick." Applied Mechanics and Materials 336-338 (July 2013): 1037–40. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.1037.

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In the steer by wire system of vehicle, a joystick can instead of the steering wheel. A control algorithm based on variable steering ratio is developed on the basis of vehicle speed and joystick steering angle. By verifying the control algorithm with the vehicle model from CarSim, it shows that this proposed algorithm can effective carry out steering intention of drivers, which enhance the steer comfort in low speed driving and steer handling in high speed driving and effectively improve the vehicle maneuverability.
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Li, Yang, Xiao Nian Wang, Si Jun Li, and Jin Zhu. "LQR Based Trajectory Tracking Control for Forked AGV." Applied Mechanics and Materials 577 (July 2014): 447–51. http://dx.doi.org/10.4028/www.scientific.net/amm.577.447.

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This paper concerns trajectory tracking control of AGV. The model of forked AGV was simplified from a three-wheeled vehicle model to a “bicycle” model. The dynamic model of vehicle lateral motion was built depending on Newtown’s second law and the analysis of lateral tire forces. The optimal control linear quadratic regulator was applied to achieve trajectory tracking control. Use the MATLAB and CarSim to simulate. The satisfied results proved that the control algorithm was effective and could make the system stable.
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Zhu, Xianchao, Sheng Chang, Bingtao Li, and Hualei Lu. "Research on Virtual Test of Automobile Automatic Emergency Braking System on Ice-Snow Road." E3S Web of Conferences 261 (2021): 02065. http://dx.doi.org/10.1051/e3sconf/202126102065.

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In view of the severe weather conditions in cold regions, the basic characteristics and braking distance of ice snow covered pavement are analyzed. This paper uses the PreScan/CarSim/Simulink software co-simulation method to test the automatic emergency braking (AEB) system on ice-snow roads. Through the appropriate adjustment of the time to collision (TTC) threshold, the car makes automatic emergency braking on the road with low friction coefficient system can achieve the effect of collision avoidance and injury reduction.
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Gao, Zhen Hai, Wei Yan, Zhi Yan Jiang, Zhen Cheng Hu, and Hui Zhao. "Design of Adaptive Cruise Control Systems Based on Quadratic Boundedness Theory." Advanced Materials Research 791-793 (September 2013): 619–22. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.619.

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A new decision algorithm for ACC systems is proposed. Feasible driving set is defined based on state and control constraints, which represent driver behavior features. And based on the analysis of collected driving data, a second-order range policy is selected to approach real driver behavior. Under dynamic output feedback control framework, the decision algorithm has been developed based on quadratic boundedness theory and given in terms of linear matrix inequalities. Performance of the proposed algorithm is verified by Simulink and Carsim co-simulation.
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22

Li, Gang, Hai Lan Han, Chao Wang, and Gao Feng Ma. "Study on Fuzzy PI Control of Vehicle Yaw Moment Based on Optimal Allocation of Braking Forces." Applied Mechanics and Materials 556-562 (May 2014): 2293–96. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2293.

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For vehicle direct yaw moment control (DYC) ,the additional yaw moment decision method based on the fuzzy PI control and optimal allocation method of yaw moment based on quadratic programming are studied. Yaw moment control adopts hierarchical control method.The fuzzy PI controller and brake force optimization distributor are designed. The control method is verified through the Matlab/Simulink and CarSim co-simulation experiment.The results show that the control method can make the vehicle track the expected value better and improve the driving stability effectively.
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Salem J, Ben, Lakhoua M.N., and El Amraoui L. "Modeling of Dynamical System Piloted by Discrete Subsystem Based on Bond Graph Approach." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2902. http://dx.doi.org/10.11591/ijece.v7i5.pp2902-2910.

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This paper is a contribution to the analysis and modeling of a mechatronic system with dynamic behavior that is controlled by a digital computer. In this paper, a bibliographic research on mechatronic systems is presented by specifying a case study of the Anti-lock Braking System (ABS). Then, a methodology of systemic modeling of the ABS system based on two methods Structured Analysis Design Technique (SADT) and bond graph (BG) is proposed. The model created is validated with three software programs: CarSim, 20 Sim and Simulink.
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Chu, Liang, Yong Sheng Zhang, Yan Ru Shi, Ming Fa Xu, and Yang Ou. "Vehicle Lateral and Longitudinal Velocity Estimation Using Coupled EKF and RLS Methods." Applied Mechanics and Materials 29-32 (August 2010): 851–56. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.851.

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In order to meet the cost requirement of lateral and longitudinal velocity measured directly in vehicle active safety control systems, based on 3-DOF vehicle model and the Recursive Least Squares (RLS) which can identify the tire cornering stiffness online, a control algorithm using Extended Kalman Filter(EKF) to estimate lateral and longitudinal velocity is proposed. The estimation values are compared with simulator values from CarSim. The compared results demonstrated that the proposed algorithm could estimate the lateral and longitudinal velocity accurately and robustly.
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Guzmán, Antonio Navarrete, Claudia Carolina Vaca García, Stefano Di Gennaro, and Cuauhtémoc Acosta Lúa. "HOSM Controller Using PI Sliding Manifold for an Integrated Active Control for Wheeled Vehicles." Mathematical Problems in Engineering 2021 (June 3, 2021): 1–12. http://dx.doi.org/10.1155/2021/5482421.

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This study considers the design of a modified high-order sliding mode (HOSM) controller using a PI sliding surface to the attitude control of a ground vehicle. A robust-modified HOSM controller is derived, so that the lateral velocity and yaw rate tracks the desired trajectory despite the environment actions acting on the ground vehicle and parameter variations. The stability is guaranteed with Lyapunov’s stability theorem function. The performance of the dynamic controllers is evaluated using the CarSim simulator considering a challenging double steer maneuver.
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Bao, Chunjiang, Jiwei Feng, Jian Wu, Shifu Liu, Guangfei Xu, and Haizhu Xu. "Model predictive control of steering torque in shared driving of autonomous vehicles." Science Progress 103, no. 3 (2020): 003685042095013. http://dx.doi.org/10.1177/0036850420950138.

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The current path tracking control method is usually based on the steering wheel angle loop, which often makes the driver lose control of the automatic driving control loop. In order to involve the driver in the automatic driving control loop, and to solve the vehicle path tracking control problem with system robustness and model uncertainty, this paper puts forward a steering torque control method based on model predictive control algorithm. Based on the vehicle model, this method introduces the steering system model and the steering resistance torque model, and calculates the optimal control torque of the vehicle through the real-time vehicle status, so as to make up for the model mismatch, interference and other uncertainties, and ensure the real-time participation of the driver in the automatic driving control loop. To combine the nonlinear vehicle dynamics model with the steering column model, and to take the vehicle state parameters as the feedback variables of the model predictive controller model, then input the solution of the steering superposition control rate into the vehicle model, the design of the steering controller is realized. Finally, to carry out the simulation of lane keeping based on CarSim software and Simulink control model, and the hardware in-the-loop test on the hardware in-the-loop experimental platform of CarSim/LabVIEW-RT. The simulation and test results indicate that the designed torque loop path tracking control method based on model predictive control can help the driver track the target path better.
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Khanse, Karan R., Yaswanth Siramdasu, and Saied Taheri. "Development of a Simulink-CarSim Interaction Package for ABS Simulation of Discrete Tire Models." Tire Science and Technology 44, no. 1 (2016): 2–21. http://dx.doi.org/10.2346/tire.16.440101.

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ABSTRACT Automotive and tire companies have to spend extensive amounts of time and money to tune their products through prototype testing at dedicated test facilities. This is mainly because of the limitations in the simulation capabilities that exist today. With greater competence in simulation comes more control over designs in the initial stages, which in turn lowers the demand for the expensive stage of tuning. This article aims at taking today's simulation capabilities a step forward by integrating models that are best developed in different software interfaces. An in-plane rigid ring tire model has been developed to understand the transient response of tires to various high-frequency events such as antilock braking and short-wavelength road disturbances. A rule-based antilock braking systems (ABS) model performed the high-frequency braking operation. The tire and ABS models were created in the Matlab-Simulink environment. A vehicle model was developed in CarSim. The models developed in Simulink were integrated with the vehicle model in CarSim, in the form of a design tool that can be used by tire as well as car designers for further tuning of the vehicle functional performances, as they relate to handling and braking maneuvers. The straight-line ABS performance was predicted using these models for a sample vehicle, and the results were substantiated through physical outdoor tests on the same vehicle to validate the developed integration package. The tool development, simulation results, and the objective test will be discussed.
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Jaafari, Seyed Mohammad Mehdi, and Kourosh Heidari Shirazi. "A comparison on optimal torque vectoring strategies in overall performance enhancement of a passenger car." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 230, no. 4 (2016): 469–88. http://dx.doi.org/10.1177/1464419315627113.

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In this paper, a comparison is made on different torque vectoring strategies to find the best strategy in terms of improving handling, fuel consumption, stability and ride comfort performances. The torque vectoring differential strategies include superposition clutch, stationary clutch, four-wheel drive and electronic stability control. The torque vectoring differentials are implemented on an eight-DOF vehicle model and controlled using optimized fuzzy-based controllers. The vehicle model assisted with the Pacejka tyre model, an eight-cylinder dynamic model for engine, and a five-speed transmission system. Bee’s Algorithm is employed to optimize the fuzzy controller to ensure each torque vectoring differential works in its best state. The controller actuates the electronic clutches of the torque vectoring differential to minimize the yaw rate error and limiting the side-slip angle in stability region. To estimate side-slip angle and cornering stiffness, a combined observer is designed based on full order observer and recursive least square method. To validate the results, a realistic car model is built in Carsim package. The final model is tested using a co-simulation between Matlab and Carsim. According to the results, the torque vectoring differential shows better handling compared to electronic stability control, while electronic stability control is more effective in improving the stability in critical situation. Among the torque vectoring differential strategies, stationary clutch in handling and four-wheel drive in fuel consumption as well as ride comfort have better operation and more enhancements.
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Ji, Fen Zhu, Xiao Xu Zhou, and Wen Bo Zhu. "Coordinate Control of Electro-Hydraulic Hybrid Brake of Electric Vehicles Based on Carsim." Applied Mechanics and Materials 490-491 (January 2014): 1120–25. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.1120.

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Motor of electric vehicle is able to be used to brake regeneratively, so braking energy can be recycled. Braking stability of electric vehicles with electro-hydraulic hybrid braking system can be influenced by braking force distribution between hydraulic braking force and regenerative braking force. In order to research on braking stability and braking energy recovery, simulation platform of electro-hydraulic hybrid brake system based on Carsim and Matlab/Simulink is built, and a control strategy of electro-hydraulic hybrid brake were proposed. The vehicle simulation models with electro-hydraulic hybrid brake system and with conventional hydraulic braking system were applied the brake on different adhesion coefficient separately. The simulation results show when electric vehicle is in the conditions of low braking intensity, all vehicle braking force is provided by regenerative braking force, and braking energy can be not only recycled, but brake performance requirement can also be satisfied; when electric vehicle is in the conditions of moderate braking intensity, regenerative braking and hydraulic braking are coordinated with each other, electro-hydraulic hybrid brake can not only satisfy the same and better brake performance, but also braking energy can be recycled and demand of hydraulic pressure can be reduced.
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30

Zhao, Jian, Jia Qing Luo, Jian Wu, Wei Wen Deng, and Bing Zhu. "Optimal Distribution Strategy for Vehicle Active Yaw Moment Using Bio-Inspired Computing." Applied Mechanics and Materials 461 (November 2013): 961–66. http://dx.doi.org/10.4028/www.scientific.net/amm.461.961.

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This article aims to propose an optimized active yaw moment distribution strategy to improve vehicle safety and stability effectively. A controller based on a 2 DOF vehicle model and a PID controller is designed for the target active yaw moment, which is further allocated into longitudinal tire forces optimally by a particle swarm optimization (PSO) algorithm. The optimal distribution strategy is analyzed using Carsim and Matlab/Simulink co-simulation. The results show that the vehicle handling and stability are improved effectively through the lower workload of the actuators by the proposed control strategy.
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31

Zheng, Hong Yu, Ya Ning Han, and Chang Fu Zong. "Road Feel Design for Vehicle Steer-by-Wire System Based on Joystick." Applied Mechanics and Materials 336-338 (July 2013): 734–37. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.734.

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In order to solve the problem of road feel feedback of vehicle steer-by-wire (SBW) system based on joystick, a road feel control strategy was established to analyze the road feel theory of traditional steer system, which included return, assist and damp control module. By verifying the computer simulation results with the control strategy from software of CarSim and Matlab/Simulink, it shows that the proposed strategy can effective get road feel in different vehicle speed conditions and could improve the vehicle maneuverability to achieve desired steering feel by different drivers.
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32

Zhao, Jian, Jin Zhang, and Bing Zhu. "The Sliding Mode Control for Traction Control System Based on Variable Optimal Slip Ratio." Applied Mechanics and Materials 380-384 (August 2013): 485–90. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.485.

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In this paper, the concept of intelligent tire and road surface information measurement methods are introduced, and the sliding mode algorithm for traction control system based on intelligent tire is proposed. By applying braking torque onto the driving wheels, the slip rates are adjusted to maintain within the optimal region on different road surface, and the optimal longitudinal traction is achieved. According to the simulation results on the CARSIM and MATLAB co-simulation platform of several working conditions, the TCS based on sliding mode control method improves the traction performance on different road surface effectively.
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33

Lan, Song, Feng Gao, Guo Yan Xu, and Neng Gen Ding. "The Best Speed Limit Range for Road Hump." Applied Mechanics and Materials 490-491 (January 2014): 891–96. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.891.

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Through simulating the process of vehicle running over humps in CarSim, calculating and analyzing the body vertical acceleration, the wheel load and wheel ground adhesion index for the car with different speeds that runs over road humps having different height and width, so as to obtain the effect of height and width of the hump on the deceleration performance and driving safety. According to the comparative analysis of the body acceleration, wheel load, wheel ground adhesion index, so as to obtain the best speed limit range of the road hump.
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34

Liu, Chao, Weiqiang Zhao, and Jie Li. "Gain Scheduling Output Feedback Control for Vehicle Path Tracking Considering Input Saturation." Energies 13, no. 17 (2020): 4570. http://dx.doi.org/10.3390/en13174570.

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This paper presents a gain scheduling output feedback control method to reduce driver workload and improve driving performance by considering input saturation. The driver–vehicle system model is developed by considering tire cornering stiffness uncertainties and different driver parameter uncertainties. Meanwhile, the input saturation is also considered in the driver-vehicle system. A quadratic Lyapunov function is designed to solve the optimization problem with uncertainties and input saturation. The results, which are based on the MATLAB-CarSim co-simulation platform, indicate that the robust controller not only improves the convergence rate of the state but also reduces the steering workload of the driver.
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35

Chen, Yi, and Jun Liu. "Research on Control Strategy of Differential Assisted Steering of Distributed Drive Electric Vehicle." Applied Mechanics and Materials 431 (October 2013): 241–46. http://dx.doi.org/10.4028/www.scientific.net/amm.431.241.

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The distributed drive electric vehicle was studied in this paper. According to the advantages of the controllable and accurate wheel speed and torque the ideal differential assisted characteristic curve was designed under different vehicle speed as well as a control strategy for differential power steering, a vehicle dynamics model based on CarSim/Simulink and simulation experiments were conducted. The experimental results indicated that on the premise to guarantee the road feeling, the control strategy for differential power steering decreased the steering wheel torque, angle and reduced driver's work-load , improved markedly the steering portability of the distributed drive electric vehicle.
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36

Gupta, Suryakant, Nidhi Hiremath, Samiksha Raut, Gaurav Datkhile, and Prasiddh Trivedi. "Electronic Stability Control of Vehicles." ITM Web of Conferences 32 (2020): 01009. http://dx.doi.org/10.1051/itmconf/20203201009.

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The paper presents the Electronic Control Unit of vehicles with the main focus on Anti-lock braking system. ABS is used in traction control and to maintain vehicle stability. The paper describes the detail study of CarSim model and it gives us the most accurate and efficient method to simulate the performance of vehicle and how ABS can be used in different scenarios. The result of vehicular model without and with ABS for different test cases is presented in the paper. The vehicular model is implemented on MATLAB Simulink environment and the corresponding results are presented.
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37

Qin, Gang, and Jianxiao Zou. "H∞Control of Four-Wheel-Independent-Drive Electric Vehicles with Random Time-Varying Delays." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/245493.

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The random time-varying delays would reduce control performance and even deteriorate the EV system. To deal with random time-varying delays and achieve a real-time steady-state response, considering randomness of delay and a rapid response, anH∞-based delay-tolerant linear quadratic regulator (LQR) control method based on Taylor series expansion is proposed in this paper. The results of cosimulations with Simulink and CarSim demonstrate the effectiveness of the proposed controller through the control performance of yaw rate, sideslip angle, and the running track. Moreover, the results of comparison with the other controller illustrate the strength of explicitly.
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38

Feng, Pengpeng, Jianwu Zhang, and Weimiao Yang. "Robust H∞ state-feedback control for path following of autonomous ground vehicle based on lateral velocity estimation." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 9 (2019): 2343–51. http://dx.doi.org/10.1177/0954407019857007.

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A robust [Formula: see text] observer-based static state-feedback controller is designed for the path following of autonomous ground vehicles in this paper. Considering the lateral velocity of vehicle is usually difficult to measure, an observer is designed to estimate the value of lateral velocity first. Then, a robust controller is proposed to cope with the modeling uncertainty and disturbance, such as the variation of road coefficient and lateral disturbance. Numerical simulations using a high-fidelity and full-vehicle model based on a CarSim–Simulink joint platform have verified the effectiveness of the proposed approach.
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39

Zhan, Jun, Jiang Li Lu, Liang Xu, and Wei Zhang. "The Research on the Embedded Vehicle Dynamics Simulation Method." Applied Mechanics and Materials 380-384 (August 2013): 1746–49. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1746.

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At present, the performance of the vehicle dynamics model is mainly evaluated objectively through offline simulation. In this paper, a vehicle dynamics model was implemented in dSPACE, which was applied to the Automotive Performance Simulator and the preliminary study was made for the realization of the subjective evaluation of the performance of vehicle dynamics model through the real-time closed-loop online simulation. The dSPACE interface library was used to write a Clib program to operate and control the Carsim RT model running on the dSPACE platform, which realized the communication between the external hardware and the real-time hardware of dSPACE.
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40

JIANG, Yanhua. "Design of Simulation Platform of Intelligent Vehicular Visual Odometry Based on CarSim and Matlab." Journal of Mechanical Engineering 48, no. 22 (2012): 113. http://dx.doi.org/10.3901/jme.2012.22.113.

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41

Liu, Xiao Long, Shao Peng Zhu, and Zhi Jun Wu. "Dynamic Modeling and Acceleration Control of Electric Vehicles." Advanced Materials Research 476-478 (February 2012): 944–48. http://dx.doi.org/10.4028/www.scientific.net/amr.476-478.944.

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This paper constructs a dynamic model of a four-wheel drive electric vehicle, which contains a vehicle model and a brushless DC motor model. In order to improve the starting and acceleration performance of the electric vehicle, we design a speed and current double closed-loop speed control system based on the constructed dynamic electric vehicle model. The starting and acceleration process of the electric vehicle is simulated and analyzed by CarSim-Matlab/Simulink co-simulation. The effectiveness of the speed control system is evaluated by the co-simulation results. In addition, the robustness of the speed control system is also analyzed for different vehicle masses.
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42

Liu, Qi Jia, Si Zhong Chen, and Jun Wei Zhang. "The Simulation of Four Wheel Steered Car Run in Close-Loop Driving Conditions." Applied Mechanics and Materials 543-547 (March 2014): 1515–19. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1515.

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The article put forwards a fuzzy logical control method which make the car yaw rate follow the reference yaw rate of two degree of freedom (2DOF) four-wheel-steer (4WS) vehicle model on the basis of the analysis of four wheel steer car proportional control, yaw rate feedback control and the control of following the response of 2DOF front wheel steer car model. Building a co-simulation model use the software of Carsim and Simulink, and made a simulation on the double lane change test. From the analysis we found that the control method can give a good performance on the test of double shift lane change test.
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43

Yang, Peng Fei, Lu Xiong, and Zhuo Ping Yu. "Comparison of Control Allocation Algorithms Used in Stability Control of Four In-Wheel-Motors Drive Electric Vehicle." Applied Mechanics and Materials 437 (October 2013): 669–73. http://dx.doi.org/10.4028/www.scientific.net/amm.437.669.

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Design the stability control strategy of four in-wheel-motors drive electric vehicle (EV) based on control allocation. Two kinds of control allocation methods are designed in this paper, one is the quadratic programming (QP), and the other is a simplified optimization method (SOM). Comparing and evaluating the control strategies through the co-simulation with MATLAB software and CARSIM software. The results of the simulation show: both strategies could stabilize the vehicle posture well under critical condition. QP has more accuracy than SOM, and could rebuild the system automatically when the motor fails. But the SOM doesn’t need iteration, could be possible to use in the real vehicle.
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44

Park, Gwangmin, Byeongjeom Son, Daehyun Kum, Seonghun Lee, and Sangshin Kwak. "Dynamic Modeling and Simulation for Battery Electric Vehicles under Inverter Fault Conditions." Applied Mechanics and Materials 110-116 (October 2011): 3007–15. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.3007.

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This paper presents a dynamic modeling, simulation, and analysis of a Battery Electric Vehicle (BEV) according to vehicle dynamic characteristics. Mathematical model variants for the components of BEVs can be modeled and investigated using the Matlab/Simulink software. In order to compare the dynamic performance of BEVs under inverter fault and normal conditions, the CarSim co-simulation platform is configured with real vehicle calibration data. Using this approach, it was possible to quickly check for dynamic performance issues of an electric vehicle without incurring the time delay and cost. The simulation results such as motor output, vehicle speed/acceleration, and propulsion forces are discussed and compared for each drive mode.
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45

Wang, Hongbo, Wei Cui, Shu Lin, Dongkui Tan, and Wuwei Chen. "Stability control of in-wheel motor drive vehicle with motor fault." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 12 (2018): 3147–64. http://dx.doi.org/10.1177/0954407018817924.

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In-wheel motor drive vehicles have many advantages such as more efficient, energy-saving, large space, and flexible control. But the increase of four-wheel actuators and sensors makes the probability of wheel motor fault increase and brings risk to the safety and reliability of the system. For in-wheel motor drive vehicles, the motor torque output fault happens frequently, which seriously affects the stability and safety of the vehicle. The stability control under the single-motor fault condition is considered in this paper, and the vehicle model with a single-motor fault and the fault diagnosis observer are established. Then, combined with the fault observation, a stability control method is formulated based on the different states of the controlled object of the vehicle. At the stage of low speed and small steering, a torque compensation controller including steady state/feedforward/feedback control is designed for the fault motor based on the triple-step method to ensure the vehicle staying in a stable driving state. At the stage of high-speed, large-steering, or large-torque output, the vehicle stability control based on torque distribution is carried out for the sound wheel, which is composed of a torque tracking controller and a torque optimal distribution controller. The former can make the vehicle get rid of the fault state quickly, and the latter can effectively keep the stability of the vehicle and make the vehicle maintain a certain driving response ability. Finally, the control method proposed in this paper is simulated and tested on the CarSim/Simulink joint simulation platform and the CarSim/LabVIEW hardware-in-loop experiment bench. The results show that after the single-motor fault occurs, the stability control system can effectively suppress the instability of the vehicle caused by the single-motor fault and ensure the stability and safety of the vehicle.
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46

Kamal Mazhar, Malik, Muhammad Jawad Khan, Aamer Iqbal Bhatti, and Noman Naseer. "A Novel Roll and Pitch Estimation Approach for a Ground Vehicle Stability Improvement Using a Low Cost IMU." Sensors 20, no. 2 (2020): 340. http://dx.doi.org/10.3390/s20020340.

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Onboard attitude estimation for a ground vehicle is persuaded by its application in active anti-roll bar design. Conventionally, the attitude estimation problem for a ground vehicle is a complex one, and computationally, its solution is very intensive. Lateral load transfer is an important parameter which should be taken in account for all roll stability control systems. This parameter is directly related to vehicle roll angle, which can be measured using devices such as dual antenna global positioning system (GPS) which is a costly technique, and this led to the current work in which we developed a simple and robust attitude estimation technique that is tested on a ground vehicle for roll mitigation. In the first phase Luenberger and Sliding mode observer is implemented using simplest roll dynamics model to measure the roll angle of a vehicle and the validation of results is carried using commercial software, CarSim® (CarSim, Ann Arbor, MI, USA). In the second phase of research, complementary and Kalman filters have been designed for attitude estimation. In the third phase, a low-cost inertial measurement unit (IMU) is mounted on a vehicle, and both the complementary filter (CF) and Kalman filter (KF) are applied independently to measure the data for both smooth and uneven terrains at four different frequencies. We compared the simulated and real-time results of roll and pitch angles obtained using the complementary and Kalman filters. Using the proposed method, the achieved root mean square error (RMSE) is less than 0.73 degree for pitch and 0.68 degree for roll, with a sample time of 2 ms. Thus, a warning signal can be generated to mitigate roll over. Hence, we claim that our proposed method can provide a low-cost solution to the roll-over problem for a road vehicle.
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47

Jang, Bongchoon. "Study on Concurrent Simulation Technique of Matlab CMDPS and A CarSim Base Full Car Model." Journal of the Korea Academia-Industrial cooperation Society 14, no. 4 (2013): 1555–60. http://dx.doi.org/10.5762/kais.2013.14.4.1555.

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48

Liu, Qiusheng, Dacheng Xie, Shenglong Hu, and Jinhua Wu. "Research on Dynamic Performance Simulation of In-wheel Motor Electric Vehicle Based on CarSim-Simulink." Journal of Physics: Conference Series 1820, no. 1 (2021): 012109. http://dx.doi.org/10.1088/1742-6596/1820/1/012109.

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49

Zheng, Xue Lian, Xian Sheng Li, Cheng Wu Jiao, Gang Bai, and Yuan Yuan Ren. "Study on Road Geometric Alignment Parameters Based on Vehicle Handling Stability Simulation." Applied Mechanics and Materials 404 (September 2013): 273–79. http://dx.doi.org/10.4028/www.scientific.net/amm.404.273.

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Unreasonable road geometric alignment has a negative influence on vehicle handling stability, especially when vehicle drives with a high speed. For horizontal road alignment, radius and banking of circular curve are the most popular and important parameters. To investigate the influence of horizontal road alignment on vehicle handling stability, a 3 degrees-of-freedom vehicle dynamic model is established. Three road horizontal curves with different radius are established in Carsim environment to investigate the influence of curve radius on vehicle handling stability and four different banking curve roads are built to study the impact of road banking on vehicle roll stability. The research achievement will provide theoretical basis and technical support for road geometric alignment design.
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50

Khan, Sarosh, Pawan Maini, and Kittichai Thanasupsin. "Car-Following and Collision Constraint Models for Uninterrupted Traffic: Reexamination Using High-Precision Global Positioning System Data." Transportation Research Record: Journal of the Transportation Research Board 1710, no. 1 (2000): 37–46. http://dx.doi.org/10.3141/1710-05.

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In the last few decades several car-following models have been proposed and tested using mainly vehicle location data. The use of high-precision Global Positioning System (GPS) data to test several car-following and collision constraint models is reported, with a critical evaluation of these models and proposal of a modified collision constraint formulation. GPS receivers typically report time-stamped location or position fixes and velocity. For a pair of leading and following vehicles, location and velocity data were used to examine estimates of acceleration, velocity, and headway by Pipes’s; modified Pitt’s, or FRESIM; CARSIM; and INTELSIM car-following models. The important aspects of collecting accurate GPS data are also highlighted.
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