Integrated Vehicle Dynamics Control Via Torque Vectoring Differential and Electronic Stability Control to Improve Vehicle Handling and Stability Performance

2018 ◽  
Vol 140 (7) ◽  
Author(s):  
Seyed Mohammad Mehdi Jaafari ◽  
Kourosh Heidari Shirazi
Keyword(s):  
Vehicle Dynamics ◽  
Phase Plane ◽  
Stability Control ◽  
Stable Region ◽  
Electronic Stability Control ◽  
Vehicle Handling ◽  
Matlab Simulink ◽  
Β Phase ◽  
Torque Vectoring ◽  
Chassis Control

This paper proposed a full vehicle state estimation and developed an integrated chassis control by coordinating electronic stability control (ESC) and torque vectoring differential (TVD) systems to improve vehicle handling and stability in all conditions without any interference. For this purpose, an integrated TVD/ESC chassis system has been modeled in Matlab/Simulink and applied into the vehicle dynamics model of the 2003 Ford Expedition in carsim software. TVD is used to improve handling in routine and steady-state driving conditions and ESC is mainly used as the stability controller for emergency maneuvers or when the TVD cannot improve vehicle handling. By the β−β˙ phase plane, vehicle stable region is determined. Inside the reference region, the handling performance and outside the region the vehicle stability has been in question. In order to control the integrated chassis system, a unified controller with three control layers based on fuzzy control strategy, β−β˙ phase plane, longitudinal slip, and road friction coefficient of each tire is designed in Matlab/Simulink. To detect the control parameters, a state estimator is developed based on unscented Kalman filter (UKF). Bees algorithm (BA) is employed to optimize the fuzzy controller. The performance and robustness of the integrated chassis system and designed controller were conformed through routine and extensive simulations. The simulation results via a co-simulation of MATLAB/Simulink and CarSim indicated that the designed integrated ESC/TVD chassis control system could effectively improve handling and stability in all conditions without any interference between subsystems.

Model Predictive Controller Design for Vehicle Motion Control at Handling Limits in Multiple Equilibria on Varying Road Surfaces

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6667
Author(s):  
Szilárd Czibere ◽  
Ádám Domina ◽  
Ádám Bárdos ◽  
Zsolt Szalay
Keyword(s):  
Steady State ◽  
Vehicle Dynamics ◽  
Multiple Equilibria ◽  
Stability Control ◽  
Equilibrium Analysis ◽  
Stable Region ◽  
Test Scenario ◽  
Sideslip Angle ◽  
Road Surfaces ◽  
Vehicle Motion

Electronic vehicle dynamics systems are expected to evolve in the future as more and more automobile manufacturers mark fully automated vehicles as their main path of development. State-of-the-art electronic stability control programs aim to limit the vehicle motion within the stable region of the vehicle dynamics, thereby preventing drifting. On the contrary, in this paper, the authors suggest its use as an optimal cornering technique in emergency situations and on certain road conditions. Achieving the automated initiation and stabilization of vehicle drift motion (also known as powerslide) on varying road surfaces means a high level of controllability over the vehicle. This article proposes a novel approach to realize automated vehicle drifting in multiple operation points on different road surfaces. A three-state nonlinear vehicle and tire model was selected for control-oriented purposes. Model predictive control (MPC) was chosen with an online updating strategy to initiate and maintain the drift even in changing conditions. Parameter identification was conducted on a test vehicle. Equilibrium analysis was a key tool to identify steady-state drift states, and successive linearization was used as an updating strategy. The authors show that the proposed controller is capable of initiating and maintaining steady-state drifting. In the first test scenario, the reaching of a single drifting equilibrium point with −27.5° sideslip angle and 10 m/s longitudinal speed is presented, which resulted in −20° roadwheel angle. In the second demonstration, the setpoints were altered across three different operating points with sideslip angles ranging from −27.5° to −35°. In the third test case, a wet to dry road transition is presented with 0.8 and 0.95 road grip values, respectively.

A comparison on optimal torque vectoring strategies in overall performance enhancement of a passenger car

2016 ◽  
Vol 230 (4) ◽  
pp. 469-488 ◽  
Author(s):  
Seyed Mohammad Mehdi Jaafari ◽  
Kourosh Heidari Shirazi
Keyword(s):  
Fuel Consumption ◽  
Ride Comfort ◽  
Stability Control ◽  
Electronic Stability Control ◽  
Slip Angle ◽  
Vehicle Model ◽  
Side Slip Angle ◽  
Wheel Drive ◽  
Torque Vectoring ◽  
Four Wheel Drive

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.

Integrated vehicle dynamics control using semi-active suspension and active braking systems

2017 ◽  
Vol 232 (3) ◽  
pp. 314-329 ◽  
Author(s):  
Abbas Soltani ◽  
Ahmad Bagheri ◽  
Shahram Azadi
Keyword(s):  
Vehicle Dynamics ◽  
Ride Comfort ◽  
Unscented Kalman Filter ◽  
Sliding Mode ◽  
Active Suspension ◽  
Stability Control ◽  
Linear Estimator ◽  
Vehicle Handling ◽  
The Road ◽  
Non Linear

This article presents an integrated control of yaw, roll and vertical dynamics based on a semi-active suspension and an electronic stability control with active differential braking system. During extreme manoeuvres, the probability of vehicle rollover is increased and the stability of lateral and yaw vehicle motions is deteriorated because of the saturation of tyre forces. Furthermore, when the road excitation frequencies are equal to the natural frequencies of the unsprung masses, the resonance phenomena occurs, which causes some oscillations getting revealed on responses of the yaw and lateral vehicle dynamics. In these situations, the active braking alone cannot be helpful to improve the vehicle handling and stability, considerably. In order to overcome these difficulties, a coordinated control of the semi-active suspension and the active braking is proposed, using a fuzzy controller and an adaptive sliding mode controller, respectively. A non-linear full vehicle model with 14 degrees of freedom is established and combined with the modified Pacejka tyre model. As the majority of vehicle dynamics variables and the road profile inputs cannot be measured in a cost-efficient way, a non-linear estimator based on unscented Kalman filter is designed to estimate the entire vehicle dynamics states and the road unevenness. Simulation results of the steering manoeuvres on the random road inputs show that the proposed chassis system can effectively improve the vehicle handling, stability and ride comfort.

Vehicle Dynamics in Response to the Maneuver of Precision Immobilization Technique

2008 ◽  
Author(s):  
Jing Zhou ◽  
Jianbo Lu ◽  
Huei Peng
Keyword(s):  
Control System ◽  
Law Enforcement ◽  
Vehicle Dynamics ◽  
Stability Control ◽  
Electronic Stability Control ◽  
Yaw Control ◽  
Post Impact ◽  
Simulation Results ◽  
The Law ◽  
Dynamics Models

The Precision Immobilization Technique (PIT) is a maneuver frequently used by the law enforcement to terminate a hazardous vehicle pursuit situation. The maneuver is performed by intentionally nudging the pursued vehicle sideways to create large yaw motion which renders the pursued vehicle out of control. This work investigates the behavior of vehicles involved in this maneuver, develops dynamics models for the pre-impact, impact, and post-impact stages. Simulation results provide guidelines for the effective execution of the maneuver. In addition, the case for the vehicle equipped with an active yaw control system, such as the Electronic Stability Control, in response to the PIT maneuver is also addressed.

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