Next Article in Journal
Energy Savings in an Office Building with High WWR Using Glazing Systems Combining Thermochromic and Electrochromic Layers
Next Article in Special Issue
Impact of Intersection Control on Battery Electric Vehicle Energy Consumption
Previous Article in Journal
Influence of Torrefaction and Pelletizing of Sawdust on the Design Parameters of a Fixed Bed Gasifier
Previous Article in Special Issue
Life Cycle Assessment of Electric Vehicle Batteries: An Overview of Recent Literature
Article

Optimization of Vehicle Braking Distance Using a Fuzzy Controller

Department of Electrical Engineering and Mechatronics, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia
*
Author to whom correspondence should be addressed.
Energies 2020, 13(11), 3022; https://doi.org/10.3390/en13113022
Received: 31 March 2020 / Revised: 5 June 2020 / Accepted: 6 June 2020 / Published: 11 June 2020
(This article belongs to the Special Issue Electric Systems for Transportation)
The paper presents the study of an anti-lock braking system (ABS) that has been complemented by a fuzzy controller. The fuzzy controller was used to improve the braking performance of the vehicle, particularly in critical situations, for example, when braking a vehicle on wet road. The controller for the ABS was designed in the MATLAB/Simulink program. The designed controller was simulated on a medium-size vehicle model. During testing, three braking systems were simulated on the vehicle model. We compared the performance of a braking system without an ABS, a system with a threshold-based conventional ABS, and a braking system with the proposed ABS with a fuzzy controller. These three braking systems were simulation tested during braking the vehicle on a dry straight road and on a road with combined road adhesion. A maneuverability test was conducted, where the vehicle had to avoid an obstacle while braking. The results of each test are provided at the end of the paper. View Full-Text
Keywords: anti-lock braking system; fuzzy logic system; controller; vehicle; simulation anti-lock braking system; fuzzy logic system; controller; vehicle; simulation
Show Figures

Graphical abstract

MDPI and ACS Style

Girovský, P.; Žilková, J.; Kaňuch, J. Optimization of Vehicle Braking Distance Using a Fuzzy Controller. Energies 2020, 13, 3022. https://doi.org/10.3390/en13113022

AMA Style

Girovský P, Žilková J, Kaňuch J. Optimization of Vehicle Braking Distance Using a Fuzzy Controller. Energies. 2020; 13(11):3022. https://doi.org/10.3390/en13113022

Chicago/Turabian Style

Girovský, Peter, Jaroslava Žilková, and Ján Kaňuch. 2020. "Optimization of Vehicle Braking Distance Using a Fuzzy Controller" Energies 13, no. 11: 3022. https://doi.org/10.3390/en13113022

Find Other Styles
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