Advancement of Vehicle Dynamics Control with Monitoring the Tire Rolling Environment

Ivanov, Valentin; Shyrokau, Barys; Augsburg, Klaus; Gramstat, Sebastian

doi:10.4271/2010-01-0108

Cited by 11 publications

(4 citation statements)

References 18 publications

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“…Therefore, several works studied the estimation of the friction coefficient in order to improve stability control, considering even vehicle and tire modeling, image processing and machine learning techniques (neural networks, fuzzy logic) [17][18][19][20][21]. Despite being a basic analytical tool, fuzzy systems have shown to deal well with dynamic parameters uncertainties when good prerequisites are put in place for the application, and by using cascade approaches [22][23].…”

Section: Simulationsmentioning

confidence: 99%

A Model-less Approach for Estimating Vehicles Sideslip Angle by a Neural Network Concept

Junqueira

Victorino

Baêta

2021

2021 IEEE International Conference on Mechatronics (ICM)

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Over the past few years, vehicle dynamics systems have been constantly improved by new technologies due to the rapid advance in computational systems and, so, have been continually developed to enhance vehicle handling and safety of the passengers. Unfortunately, these systems require information of variables not always easy to be accessed without proper sensing. In this way, several studies had been carried out to obtain a good estimation of the variables of interest as tireground interaction forces and sideslip angle, to mention a few. Also, the sideslip angle relates directly to the vehicle's lateral dynamics, an important factor for control stability. Most of these studies are based on vehicles dynamics and tire models, but non-linearities contribute to the low accuracy of the models. The present work performed several simulation tests using a well-known software to access vehicle data, which was used to train a machine learning technique, neural network, to predict the vehicle body sideslip angle along the trajectory. Such tests considered high speed profiles and different friction coefficient values in order to reach as closely the slip limit. Such tests were studied to indicate which set of maneuvers could be better to obtain sideslip information within the operational range of the vehicle. The best result was obtained when training a neural network with information from slalom and lane change tests, with a validation error lower than a 1%. Although, other set of maneuvers needs to be included to the training data so the model could cover a wider range of driving events.

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Section: Simulationsmentioning

confidence: 99%

A Model-less Approach for Estimating Vehicles Sideslip Angle by a Neural Network Concept

Junqueira

Victorino

Baêta

2021

2021 IEEE International Conference on Mechatronics (ICM)

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“…The correction taking into account wheel slip is carried out based on the threshold of wheel slip. The algorithm is rule-based and similar to control of anti-lock brake system [26].…”

Section: Vehicle Dynamics and Actuators Controlmentioning

confidence: 99%

Coordination of Steer Angles, Tyre Inflation Pressure, Brake and Drive Torques for Vehicle Dynamics Control

Shyrokau¹,

Wang²

2013

SAE Int. J. Passeng. Cars - Mech. Syst.

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During vehicle operation, the control objectives of stability, handling, energy consumption and comfort have different priorities, which are determined by road conditions and driver behavior. To achieve better operation characteristics of vehicle, coordinated control of vehicle subsystems is actively used. The fact of more active vehicle subsystems in a modern passenger car provides more flexibility for vehicle control and control algorithm development. Since the modern vehicle can be considered as over-actuated system, control allocation is an effective control technique to solve such kind of problem.This paper describes coordination of frictional brake system, individual-wheel drive electric motors, active front and rear steering, active camber mechanisms and tyre pressure control system. To coordinate vehicle subsystems, optimizationbased control allocation with dynamic weights is applied. The influence of different weights (subsystem restriction) on criteria of vehicle dynamics (RMSE of yaw rate, sideslip angle, dynamic tyre load factor) and energy consumption and losses (consumed/recuperated energy during maneuver, longitudinal velocity decline, tyre energy dissipation) were analyzed. Based on this analysis, the optimal solution was selected. The proposed control strategy is based on the switching between optimal criteria related to vehicle safety and energy efficiency during vehicle motion. Dynamic weights were utilized to achieve this switching.The simulation-based analysis and evaluation of both variants was carried out using a nonlinear vehicle model with detailed models of actuators. The test maneuver is 'Sine with Dwell'. Both variants of control allocation guarantees vehicle stability of motion and good handling. Meanwhile, proposed variant demonstrates slightly higher longitudinal velocity at the end of maneuver and higher amount of recuperated energy up to 15%; however, tyre dissipation energy increased to 5% compared to optimal solution from simulation-based analysis.

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“…This test bench was developed at the Automotive Engineering Department, Ilmenau University of Technology, Germany. 23 The main apparatus includes the brake master cylinder, four wheel disc brakes and the hydraulic control unit (HCU) of the active safety system of the vehicle.…”

Section: Design Of the Disc Brake With Self-boostingmentioning

confidence: 99%

“…The feedback from the hardware with the vehicle simulation model was realized via pressure sensors. 23 It was proposed to change the pressure retention phase value of the control algorithm proportionally to the hysteresis value in a disc brake in order to investigate the influence of the hysteresis on the efficiency of the brake system. The start of the pressure retention phase was changed from 100 ms to 300 ms.…”

Section: Design Of the Disc Brake With Self-boostingmentioning

confidence: 99%

Experimental investigation of the brake system’s efficiency for commercial vehicles equipped with disc brakes

Tretsiak

2012

Proceedings of the Institution of Mechanical Engineers, Part D:

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The development of a technique for carrying out road and bench tests on the brake system components of vehicles and their simulation with the use of a modern computer environment and software are actual scientific problems. This paper describes different ways for carrying out road and bench tests on the brake systems of vehicles with the help of the hardware-in-the-loop technique. It covers the following issues: substantiation of positive feedback introduction into disc brakes to provide a self-boosting effect; the concept of disc brake design with self-boosting which has minimal hysteresis and a very rapid rate and can be used for different types of vehicle brake system; estimation of the dependence of the brake system’s efficiency for a medium-duty truck on the hysteresis value of the disc brakes with the help of bench tests (the analytical dependences of the braking distance on the relative change in the hysteresis will be obtained and can be used for definition of the brake system’s efficiency in accordance with the hysteresis value of the disc brakes); analysis of the self-boosting influence of the disc brakes on the brake system’s efficiency of a truck tractor on the basis of road test results. To a first approximation it will be substantiated that the efficiency of the vehicle’s brake system can be enhanced using the proposed disc brake with self-boosting.

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Advancement of Vehicle Dynamics Control with Monitoring the Tire Rolling Environment

Cited by 11 publications

References 18 publications

A Model-less Approach for Estimating Vehicles Sideslip Angle by a Neural Network Concept

A Model-less Approach for Estimating Vehicles Sideslip Angle by a Neural Network Concept

Coordination of Steer Angles, Tyre Inflation Pressure, Brake and Drive Torques for Vehicle Dynamics Control

Experimental investigation of the brake system’s efficiency for commercial vehicles equipped with disc brakes

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