Next Article in Journal
Regularized Solution of Singularly Perturbed Cauchy Problem in the Presence of Rational “Simple” Turning Point in Two-Dimensional Case
Next Article in Special Issue
Global Analysis and the Periodic Character of a Class of Difference Equations
Previous Article in Journal
A Versatile Integral in Physics and Astronomy and Fox’s H-Function
Open AccessArticle

Advanced Control Strategies to Improve Nonlinear Automotive Dynamical Systems Consumption

1
Dipartimento di Ingegneria dell′Informazione (DII), Università Politecnica delle Marche, 60131 Ancona, Italy
2
Laboratoire des Sciences de l′Information et des Systèmes Equipe I&M (ESIL) case 925-163, 13288 Marseille, France
*
Author to whom correspondence should be addressed.
Axioms 2019, 8(4), 123; https://doi.org/10.3390/axioms8040123
Received: 30 August 2019 / Revised: 24 October 2019 / Accepted: 28 October 2019 / Published: 1 November 2019
(This article belongs to the Special Issue Numerical Computation and Nonlinear Dynamical Systems)
Electric motors and Internal Combustion Engine test benches allow for testing, under various conditions, the behavior of the Electric Vehicles and they are essential in the automotive field development. In this paper, we introduce the state-of-art of the control algorithms and their validation over different test runs, on the standard driving cycles. Ad-hoc simulations and test benches designed for the issue offer a significant opportunity to reduce costs. The modelling of automotive systems is a non-trivial problem due to the non-linearities. The paper presents a linearized solution and an adaptive control scheme to improve model performances starting from real data, and also discusses the behavior of the proposed system and the control law reporting emissions of the considered virtual vehicle when compared with the target emission regulations. View Full-Text
Keywords: automotive control system; emission control; nonlinear dynamical systems automotive control system; emission control; nonlinear dynamical systems
Show Figures

Figure 1

MDPI and ACS Style

Scaradozzi, D.; Fanesi, M. Advanced Control Strategies to Improve Nonlinear Automotive Dynamical Systems Consumption. Axioms 2019, 8, 123.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop