Virtual test rig to improve the design and optimisation process of the vehicle steering and suspension systems

Mántaras, Daniel Álvarez; Luque, Pablo

doi:10.1080/00423114.2012.680472

Cited by 23 publications

(15 citation statements)

References 23 publications

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“…It is also the consequence of the dynamic subsystems involved: nonlinear springs, shock absorbers, silent blocks and anti-roll bars, and especially the still extensive, unknown and highly nonlinear tyre behaviour, and the increasing number of control systems aiming to increase driveability, comfort, safety, performance, and efficiency. The wide bibliography trying to give insight into vehicle dynamics proves its complexity, such as [31][32][33][34][35][36][37]. Moreover, the use of modern analysis and simulation methods makes the progress in suspension and chassis design and tuning possible, allowing wider model ranges and shorter development times, but requiring reliable tyre [29] and car modelling.…”

Section: Vehicle Modelmentioning

confidence: 99%

“…Moreover, the use of modern analysis and simulation methods makes the progress in suspension and chassis design and tuning possible, allowing wider model ranges and shorter development times, but requiring reliable tyre [29] and car modelling. [31] However, due to the necessity of high computational speed, the simplified vehicle models are still widely used. So, the implemented model of vehicle dynamics for the present work takes into account the inertial effects, but lacks dynamic roll, suspension performance, inclination of the road, etc.…”

Section: Vehicle Modelmentioning

confidence: 99%

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Tyre–road grip coefficient assessment – Part II: online estimation using instrumented vehicle, extended Kalman filter, and neural network

Luque

Mántaras

Fidalgo

et al. 2013

Vehicle System Dynamics

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The main objective of this work is to determine the limit of safe driving conditions by identifying the maximal friction coefficient in a real vehicle. The study will focus on finding a method to determine this limit before reaching the skid, which is valuable information in the context of traffic safety. Since it is not possible to measure the friction coefficient directly, it will be estimated using the appropriate tools in order to get the most accurate information. A real vehicle is instrumented to collect information of general kinematics and steering tie-rod forces. A real-time algorithm is developed to estimate forces and aligning torque in the tyres using an extended Kalman filter and neural networks techniques. The methodology is based on determining the aligning torque; this variable allows evaluation of the behaviour of the tyre. It transmits interesting information from the tyre-road contact and can be used to predict the maximal tyre grip and safety margin. The maximal grip coefficient is estimated according to a knowledge base, extracted from computer simulation of a high detailed three-dimensional model, using Adams ® software. The proposed methodology is validated and applied to real driving conditions, in which maximal grip and safety margin are properly estimated.

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Section: Vehicle Modelmentioning

confidence: 99%

Section: Vehicle Modelmentioning

confidence: 99%

Tyre–road grip coefficient assessment – Part II: online estimation using instrumented vehicle, extended Kalman filter, and neural network

Luque

Mántaras

Fidalgo

et al. 2013

Vehicle System Dynamics

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“…Esto permite el modelado de sistemas muy complejos y la obtención de soluciones detalladas. Sin embargo, es posible modelar los componentes con tanto detalle que los datos requeridos para una situación real no pueden obtenerse de manera realista (Mántaras y Luque, 2012).…”

Section: Dinámica No Linealunclassified

“…Prior, (1992) investigó la maniobra de cambio de carril que es una de las simulaciones necesarias por tener orientaciones escalonadas o sinusoidales para esto el modelo completo requerido para esta experimentación también requiere que se incluya un modelo de dirección; por otro lado el modelo de simulación del vehículo en movimiento antes del impacto con la calzada muestra que el automotor se encuentra en un movimiento de cabeceo bajo la influencia de la carga de frenado dando como resultado que la dinámica de cualquier punto de referencia para todos los dof se pueda determinar. Sun et al, (2013) estudiaron el diseño de la suspensión con simulación dinámica MBS y las características K y C, que son fundamentales tanto en teoría como en prueba (Mántaras y Luque, 2012). En este planteamiento según Feng et al, (2012) se identifica los parámetros estructurales que tienen un impacto en las características cinemáticas a través de la simulación de movimiento paralelo de la rueda y optimización de los parámetros, además se mostró que en el proceso de subida y bajada de la rueda, los valores del ángulo de inclinación aumentan ligeramente, los ángulos de dirección y de avance disminuyen ligeramente, lo que significa que la suspensión optimizada mejora la estabilidad de manejo del vehículo y la comodidad de conducción.…”

Section: Modelado Simulación Dinámica Multicuerpounclassified

Revisión de las Características de Modelado y Optimización para el Diseño del Sistema de Suspensión Macpherson

Vega¹,

Cedeño²,

Molina³

et al. 2018

Inf. tecnol.

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ResumenEl objetivo de este trabajo fue caracterizar los procesos de diseño en los contextos de aplicación de software de simulación, resaltando las técnicas predictivas de multicuerpos, elementos finitos y modelado matemático. para la identificación de sus características de trabajo al aplicarlo en la suspensión. El proceso definido se aplicó en función de modelos, variables de diseño, optimización y la tendencia actual en la simulación mecánica. La utilidad del modelo se evaluó para la aplicación de optimización en función del componente objetivo de diseño, considerando varios criterios tales como características cinemáticas, conformidad, estabilidad del vehículo y prueba de comodidad de conducción. Se concluye que el modelo definido sirve como referente para establecer estrategias de simulación y optimización. Palabras clave: suspensión Macpherson; simulación computacional; sistemas automotrices; optimización Review of the Modeling and Optimization Characteristics for the Design of the Macpherson Suspension System AbstractThe objective of this work was to characterize the design processes in the application contexts of simulation software, highlighting the predictive techniques of multibody, finite elements and mathematical modelling for the identification of its work characteristics when applying it in the suspension. The defined process was applied in function of models, design variables, optimization and the current trend in the mechanical simulation.The utility of the model was evaluated for the optimization application in function of the design objective component, considering several criteria such as kinematic characteristics, conformity, vehicle stability and driving ease test. It is concluded that the defined model serves as a reference to establish simulation and optimization strategies.

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“…To determine the loads during vehicle operation, a methodology based on the simulation of virtual models using data acquired by low-cost instrumentation has been developed. The effectiveness of this methodology-which combines acquired real data and a virtual model to optimise designs-for application to other types of vehicles has been proved [3]. The main advantage of combining a virtual model and real data is the reduction in the complexity of the data acquisition system and the required number of sensors.…”

Section: Introductionmentioning

confidence: 99%

Low-Cost Monitoring System of Sensors for Evaluating Dynamic Solicitations of Semitrailer Structure

et al. 2016

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Analysis of the fatigue life of a semitrailer structure necessitates identification of the loads and dynamic solicitations in the structure. These forces can be introduced in computer simulation software (multibody + finite element) for analysing the response of different design solutions to them. These numerical models must be validated and some parameters need to be measured directly in a field test with real vehicles under various driving conditions. In this study, a low-cost monitoring system is developed for application to a real fleet of semitrailers. According to the definition of the numerical model, the guidance of a virtual vehicle is defined by the three-dimensional kinematics of the kingpin. For characterisation of these movements, a monitoring system having a low-cost inertial measurement unit (IMU) and global positioning system (GPS) antennas is developed with different configurations to enable analysis of the best cost-benefit (result accuracy) solution, and an extended Kalman filter (EKF) that characterises the kinematic guidance of the kingpin is proposed. A semitrailer was equipped with the experimental low-cost monitoring system and high-precision sensors (IMU, GPS) in order to validate the results obtained by the experimental low-cost monitoring system and the inertial-extended Kalman filter developed. The validated system has applicability in the low-cost monitoring of a fleet of real vehicles.

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Virtual test rig to improve the design and optimisation process of the vehicle steering and suspension systems

Cited by 23 publications

References 23 publications

Tyre–road grip coefficient assessment – Part II: online estimation using instrumented vehicle, extended Kalman filter, and neural network

Tyre–road grip coefficient assessment – Part II: online estimation using instrumented vehicle, extended Kalman filter, and neural network

Revisión de las Características de Modelado y Optimización para el Diseño del Sistema de Suspensión Macpherson

Low-Cost Monitoring System of Sensors for Evaluating Dynamic Solicitations of Semitrailer Structure

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