Intelligent Systems for Vehicles and Robots

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: closed (15 May 2023) | Viewed by 1914

Special Issue Editors


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Guest Editor
Department of Polytechnics, University of Rijeka, Rijeka, Croatia
Interests: energy and environmental characteristics of marine power systems
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Guest Editor
Department of Power Engineering, Faculty of Engineering, University of Rijeka Croatia, 51000 Rijeka, Croatia
Interests: power electronics; electric drives; mechatronics; wind energy conversion systems; photovoltaic systems; power electronics applications
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Guest Editor
Department of Engineering, University Niccolò Cusano, 00166 Roma, Italy
Interests: voltage control in distribution networks; power quality; e-mobility
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Special Issue Information

Dear Colleagues,

Autonomous or self-driving vehicles have been considered part of our technological future for decades. First, automatic emergency braking (AEB) and forward collision warning (FCW) systems appeared. Autonomous driving also requires the integration of blind spot detection, lane departure warning, lane keeping assist and lane centering assist for heavy commercial vehicles with older systems such as anti-lock braking systems (ABSs). This problem is basically programing oriented; however, hardware solutions including new sensors and wide-bandgap (WBG) electronic and mechatronic solutions are also welcomed. Similar trends to those which are present in vehicles can also be found in robotics. That is a consequence of the wide influence of intelligent systems. For instance, modern industrial robots must operate at high speeds. The presence of fast-moving objects means danger for nearby humans, and so industrial robots are usually physically isolated. At the same time, different applications demand a high level of security to operate with humans. These types of applications can be found in education, medicine and in production. Such demands on robots are quite similar to those in traffic, and the development of intelligent solutions should improve the security and reliability of existing systems. Contributions connected with these topics are welcomed to this Special Issue.

Dr. Ivica Ancic
Dr. Sasa Sladic
Dr. Michele De Santis
Guest Editors

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Published Papers (1 paper)

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16 pages, 1235 KiB  
Article
Differential Evolution and Fuzzy-Logic-Based Predictive Algorithm for V2G Charging Stations
by Lucas G. da Silva, Nicholas D. de Andrade, Ruben B. Godoy, Moacyr A. G. de Brito and Emilio T. Maddalena
Appl. Sci. 2023, 13(10), 5921; https://doi.org/10.3390/app13105921 - 11 May 2023
Cited by 1 | Viewed by 1442
Abstract
This work proposes a differential evolution algorithm to control a vehicle-to-grid (V2G) system based on photovoltaic generation and energy cost curves, and constraints associated with the power converters’ operation, battery charging strategy, and initial budgets. The algorithm is designed to trade off the [...] Read more.
This work proposes a differential evolution algorithm to control a vehicle-to-grid (V2G) system based on photovoltaic generation and energy cost curves, and constraints associated with the power converters’ operation, battery charging strategy, and initial budgets. The algorithm is designed to trade off the batteries’ state of charge and the profits gained from selling energy to the grid. To achieve this balance, a fuzzy controller is employed and acts based on forecasts of the photovoltaic generation and the cost of electricity, within prediction windows of 120 min, adapting the batteries’ rate of charging or discharging. Simulation results show that for different curves and different initial budgets, the target state of charge is reached at the end of the time horizon. By evaluating the proposed scheme under different scenarios, the algorithm’s performance is proven to be suitable for future practical deployment. Full article
(This article belongs to the Special Issue Intelligent Systems for Vehicles and Robots)
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