Fast Modelling and Identification of Hydraulic Brake Plants for Automotive Applications

Authors

DOI:

https://doi.org/10.13052/ijfp1439-9776.2122

Keywords:

Identification, Modelling, Brake Plants, Piecewise Transfer Function, Linear Systems with Scheduled Poles

Abstract

Diffusion of electric and hybrid vehicles is accelerating the development of innovative braking technologies. Calibration of accurate models of a hydraulic brake plant involves availability of large amount of data whose acquisition is expensive and time consuming. Also, for some applications, such as vehicle simulators and hardware in the loop test rig, a real-time implementation is required. To avoid excessive computational loads, usage of simplified parametric models is almost mandatory. In this work, authors propose a simplified functional approach to identify and simulate the response of a generic hydraulic plant with a limited number of experimental tests. To reproduce complex nonlinear behaviours that are difficult to be reproduced with simplified models, piecewise transfer functions with scheduled poles are proposed. This innovative solution has been successfully applied for the identification of the brake plant of an existing vehicle, a Siemens prototype of instrumented vehicle called SimRod, demonstrating the feasibility of proposed method.

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Author Biographies

Luca Pugi, Università degli Studi di Firenze, Dipartimento di Ingegneria Industriale, Italy

Luca Pugi is an associated professor at University of Florence where he is responsible of didactical activities concerning Mechatronics, Electric Traction Systems for Rail and Road Vehicles, Applied Mechanics. Born in 1974 in Florence (Italy) he obtained his degree in mech. Engineering in 1999 at University of Florence (Italy) and discussed his phd thesis in 2003 at University of Bologna (Italy). His current research activities are focused on the application of mechatronics to testing, actuation and control of vehicle systems with a special attention to multidisciplinary networking between research and industrial partners. He is author of more than 200 indexed publications, some patents and winner of several scientific awards for his research activities especially in the railway sector.

Federico Alfatti, Università degli Studi di Firenze, Dipartimento di Ingegneria Industriale, Italy

Federico Alfatti is a Ph.D. student at the University of Florence. Born in 1994, He received the M.Sc. degree in mechanical engineering from University of Florence, Italy, in 2019. After graduation, he started a Ph.D. on automotive Brake by Wire systems in collaboration with the company Meccanica42. His main research activities are in the field of innovative brake systems for automotive industry, vehicle dynamics, ADAS system, Human in The Loop simulations.

Lorenzo Berzi, Università degli Studi di Firenze, Dipartimento di Ingegneria Industriale, Italy

Lorenzo Berzi, Mechanical Engineer, obtained his PhD at the University of Florence in 2013. He is research assistant at the Department of Industrial Engineering of Florence (DIEF) and his main interests concern electric vehicles, innovative mobility and sustainability of materials. As part of the MOVING (Mobility and Vehicle Innovation) Group he has been participating to more than 15 local, national and international research projects.

Tommaso Favilli, Università degli Studi di Firenze, Dipartimento di Ingegneria Industriale, Italy

Tommaso Favilli, born in 1991, graduates in Electrical Engineering in 2018 at University of Florence. Currently is a PhD candidate at the Department of Industrial Engineering of Florence (DIEF). It’s activities are mainly related to road vehicle and real-time simulations, concerning dynamics, stability controller, power management and algorithm’s optimization of onboard controller. Knowledge is acquired in braking system and brake blending strategies for electric vehicles.

Marco  Pierini, Università degli Studi di Firenze, Dipartimento di Ingegneria Industriale, Italy

Marco Pierini is Full Professor at the Department of Industrial Engineering of Florence (DIEF, University of Florence). He is head and co-founder of the MOVING (Mobility and Vehicle Innovation) Group. He has more than 25 years of experience in transport research with special focus on road safety, vehicle passive and active safety, vehicle electrification, urban and interurban mobility. All the activities are developed at national and international level within national and EC funded projects or in direct cooperation with industry. He has been responsible for more than 30 project at EU, National and regional level.

Bart Forrier, Siemens Industry Software NV, Belgium

Bart Forrier was born in Halle, Belgium in 1989. He received the M.Sc.degree in mechanical engineering from KU Leuven, Belgium, in 2011.

After graduation, he first joined LMS Intl., Leuven, Belgium, and laterworked in the Noise & Vibration Research Group at KU Leuven. There, heobtained the Ph.D. in engineering sciences in 2018. Since then, he is aresearcher at SISW NV, and a voluntary researcher at KU Leuven.

His main research activities are in model-based system testing and virtual sensing, with a focus on mechatronic powertrain applications.

Thomas D’hondt, Siemens Industry Software NV, Belgium

Thomas D’hondt was born in Aalst, Belgium, in 1993. He received his M.Sc. degree in electromechanical engineering from Brussels Faculty of Engineering, Belgium, in 2016. Since then, he is a research engineer at Siemens Digital Industries Software. His main research activities focus on model-based system testing, with a focus on electric powertrain applications and automated vehicles.

Mathieu Sarrazin, Siemens Industry Software NV, Belgium

Mathieu M. Sarrazin received in 2009 from the Technical University College of West-Flanders, now called University of Gent Campus Kortrijk, a first Master degree of Engineering (Meng) in Electromechanical/Electrical Engineering. The focus of his master thesis was at that time on the total design concept for a fully electric driven car.

In 2012, he graduated at the University of Leuven with another Master of Science degree in Mechanical Engineering with a specialisation in Automotive.

He is now eight years part of the research team at Siemens Industry Software. In 2014, he received a unique Siemens Technology Award. Currently, he works as Research and Innovation manager and coordinates national and European research projects. His research interest includes hybrid and electrical vehicles, electromechanical drivelines, data driven research, NVH, model-based testing, converter-machine interactions, fault detection, condition monitoring, mechatronics, signal processing, system identification and control strategies.

e-mail: Mathieu.sarrazin@siemens

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Published

2020-11-29

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Original Article

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