33 citations · 109 across the 23 of their papers we have counts for
15 papers · 1 filter
Semi-automated transmission control for motorcycle gearshift: design, data-driven tuning and experimental validation
Edoardo Catenaro, Giulio Panzani, Davide Sette +1
This brief addresses the gearshifting problem for Semi-Automated Manual Transmissions (S-AMT) in powered two-wheelers, a powertrain setup that allows fast and smooth gear shifts wi…
Automatic dimensionality reduction of Twin-in-the-Loop Observers
Giacomo Delcaro, Riccardo Poli, Federico Dettù +2
Conventional vehicle dynamics estimation methods suffer from the drawback of employing independent, separately calibrated filtering modules for each variable. To address this limit…
An Add-on Model Predictive Control Strategy for the Energy Management of Hybrid Electric Tractors
Stefano Radrizzani, Giulio Panzani, Luca Trezza +2
The hybridization process has recently touched also the world of agricultural vehicles. Within this context, we develop an Energy Management Strategy (EMS) aiming at optimizing fue…
Optimization tools for Twin-in-the-Loop vehicle control design: analysis and yaw-rate tracking case study
Federico Dettù, Simone Formentin, Stefano Varisco +1
Given the urgent need of simplifying the end-of-line tuning of complex vehicle dynamics controllers, the Twin-in-the-Loop Control (TiL-C) approach was recently proposed in the auto…
Joint vehicle state and parameters estimation via Twin-in-the-Loop observers
Federico Dettù, Simone Formentin, Sergio Matteo Savaresi
Vehicular control systems are required to be both extremely reliable and robust to different environmental conditions, e.g. load or tire-road friction. In this paper, we extend a n…
Non-Invasive Experimental Identification of a Single Particle Model for LiFePO4 Cells
Andrea Trivella, Matteo Corno, Stefano Radrizzani +1
The rapid spread of Lithium-ions batteries (LiBs) for electric vehicles calls for the development of accurate physical models for Battery Management Systems (BMSs). In this work, t…
Virtual-bike emulation in a series-parallel human-powered electric bike
Stefano Radrizzani, Giulio Panzani, Sergio M. Savaresi
Combining the advantages of standard bicycles and electrified vehicles, electric bikes (e-Bikes) are promising vehicles to reduce emission and traffic. The current literature on e-…
Handling-Oriented Stiffness Control of a Multichamber Suspension
Gabriele Marini, Giulio Panzani, Matteo Corno +2
This paper deals with the development of a handling-oriented stiffness control strategy using multichamber suspensions. Indeed, being this technology capable of stiffness variabili…
The Twin-in-the-Loop approach for vehicle dynamics control
Federico Dettù, Simone Formentin, Sergio Matteo Savaresi
In vehicle dynamics control, engineering a suitable regulator is a long and costly process. The starting point is usually the design of a nominal controller based on a simple contr…
Twin-in-the-loop state estimation for vehicle dynamics control: theory and experiments
Giorgio Riva, Simone Formentin, Matteo Corno +1
In vehicle dynamics control, many variables of interest cannot be directly measured, as sensors might be costly, fragile, or even not available. Therefore, real-time estimation tec…
Experimental Automatic Calibration of a Semi-Active Suspension Controller via Bayesian Optimization
Gianluca Savaia, Youngil Sohn, Simone Formentin +3
The End-of-Line (EoL) calibration of semi-active suspension systems for road vehicles is usually a critical and expensive task, needing a team of vehicle and control experts as wel…
Online wheel speed filtering for periodic disturbance reduction: a strategy for an advanced bicycle application
Gianmarco Rallo, Simone Formentin, Sergio Matteo Savaresi
Due to geometrical errors and possible misalignment of the sensors, wheel speed measurements provided by incremental encoders in road vehicles are usually affected by significant p…
Least costly energy management for series hybrid electric vehicles
Simone Formentin, Jacopo Guanetti, Sergio M. Savaresi
Energy management of plug-in Hybrid Electric Vehicles (HEVs) has different challenges from non-plug-in HEVs, due to bigger batteries and grid recharging. Instead of tackling it to…
Robust linear static anti-windup with probabilistic certificates
Simone Formentin, Fabrizio Dabbene, Roberto Tempo +2
In this paper, we address robust static anti-windup compensator design and performance analysis for saturated linear closed loops in the presence of nonlinear probabilistic paramet…
Scenario optimization with certificates and applications to anti-windup design
Simone Formentin, Fabrizio Dabbene, Roberto Tempo +2
In this paper, we introduce a significant extension, called scenario with certificates (SwC), of the so-called scenario approach for uncertain optimization problems. This extension…