Women in Electric Vehicles
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Editor
Prof. Dr. Stefania Santini
Prof. Dr. Stefania Santini
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Guest Editor
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
Interests: autonomous driving, autonomus connected vehicles, electric vehicles, automobiles; mobile robots; multi-agent systems, cyber-physical modelling and control; nonlinear control; delayed systems
Topical Collection Information
The Special Issue "Women in Electric Vehicles" aims to illustrate the impact of women on solving the major challenges in and for the transportation industry. The role of women in transportation electrification is rapidly enlarging and the growing profile of eminent female women scientists has already led to a research field in which younger scientists embrace gender equality, and foster an environment where wider diversity is valued.
In order to further promote gender equality and to celebrate the achievements of women in the field of electric vehicles, the Special Issue addresses some of the most challenging issues related to the realization of future transportation electrification. Here, the growing trends mainly cover the following industry sectors: road vehicles (plug-in hybrids, battery-only, and fuel-cell electric vehicles), power supply (power electronics converters/chargers, advanced power supplies, plugged charging, wireless charging infrastructures, etc.), mass utility ground vehicles (electric trains, trams, transit buses), electric ships, electric aircrafts, and drones. In this scenario, there is also a strong need to analyze how automation and connectivity increase the predictability and therefore the autonomy and the expected energy savings of the electric vehicles (connected with each other and/or with infrastructures and the cloud) during real-world operation.
This planned Special Issue is therefore focused on the contributions of women in and to the electric vehicle sector and will include high-quality research papers and comprehensive review articles in the area. Contributions from research groups led by women or in which women are the corresponding authors of the manuscripts are strongly encouraged.
Prof. Dr. Stefania Santini
Guest Editor
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Keywords
- Hybrid Vehicles, Electrical Vehicles, Fuel Cell Vehicles
- Batteries, super capacitors, flywheels systems embedded in hybrid and electrical vehicles
- Power converters designed and embedded in more electrified vehicles
- Improved electric and hybrid powertrains
- Charge of electric vehicles with electricity from renewable sources
- Automotive, railway, subway, ships, aeronautic, aerospace, and robotic applications
- Vehicle control, fault-tolerant operations, energy management strategies
- Vehicle Connectivity (V2X and I2V) and automation
- Automated driving and energy consumption
- Cooperative ITS solutions for electric vehicles
- ADAS (Advanced Driver Assistance Systems) development, testing, and validation
- Platoon and fleets management
- Electric vehicular networks from a cyber-physical perspective
Published Papers (5 papers)
Open AccessArticle
Real Time Scheduling of a Microgrid Equipped with Ultra-Fast Charging Stations
by
Luigi Pio di Noia, Fabio Mottola, Daniela Proto and Renato Rizzo
Cited by 5 | Viewed by 2711
Abstract
Ultra-fast charging infrastructures are gaining increasing interest thanks to their ability to reduce the charging-time of plug-in electric vehicles to values comparable to those of the refueling of traditional vehicles in gas stations. This is a consequence of the increasing rated power of
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Ultra-fast charging infrastructures are gaining increasing interest thanks to their ability to reduce the charging-time of plug-in electric vehicles to values comparable to those of the refueling of traditional vehicles in gas stations. This is a consequence of the increasing rated power of both on-board batteries and charging equipment. On the other hand, the increased values of charging power have led to an increased impact on the power distribution networks, particularly in terms of line currents and bus voltages. In presence of large penetration of ultra-fast charging devices, in fact, both currents and voltages are affected by larger variations whose values can exceed the admissible limits imposed by the technical constraints and by the levels of quality of service. In order to reduce the impact of this typology of vehicles’ charging on the electrical infrastructure, in this paper a methodology is presented which allows managing a microgrid in presence of ultra-fast charging stations by satisfying the constraints of the grid, while preserving the expected short charging-time for electric vehicles. To this end, a proper optimal strategy is proposed which coordinates the demands of electric vehicles and of the other loads of the microgrid with the power provided by the renewable energy generation resources. The proposed approach aims to optimally control the active and reactive power of charging stations and renewable generation units and to minimize the charging time of a fleet of plug-in electric vehicles while satisfying the constraints on the technical aspects and on the quality of service. The proposed approach has been tested on a test system and the results, proposed in the last part of the paper, demonstrate the feasibility of the proposed approach.
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Open AccessArticle
Distributed Nonlinear Model Predictive Control for Connected Autonomous Electric Vehicles Platoon with Distance-Dependent Air Drag Formulation
by
Bianca Caiazzo, Angelo Coppola, Alberto Petrillo and Stefania Santini
Cited by 22 | Viewed by 2152
Abstract
This paper addresses the leader tracking problem for a platoon of heterogeneous autonomous connected fully electric vehicles where the selection of the inter-vehicle distance between adjacent vehicles plays a crucial role in energy consumption reduction. In this framework, we focused on the design
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This paper addresses the leader tracking problem for a platoon of heterogeneous autonomous connected fully electric vehicles where the selection of the inter-vehicle distance between adjacent vehicles plays a crucial role in energy consumption reduction. In this framework, we focused on the design of a cooperative driving control strategy able to let electric vehicles move as a convoy while keeping a variable energy-oriented inter-vehicle distance between adjacent vehicles which, depending on the driving situation, was reduced as much as possible to guarantee air-drag reduction, energy saving and collision avoidance. To this aim, by exploiting a distance-dependent air drag coefficient formulation, we propose a novel distributed nonlinear model predictive control (DNMPC) where the cost function was designed to ensure leader tracking performances, as well as to optimise the inter-vehicle distance with the aim of reducing energy consumption. Extensive simulation analyses, involving a comparative analysis with respect to the classical constant time headway (CTH) spacing policy, were performed to confirm the capability of the DNMPC in guaranteeing energy saving.
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Open AccessArticle
A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment
by
Nicola Albarella, Francesco Masuccio, Luigi Novella, Manuela Tufo and Giovanni Fiengo
Cited by 1 | Viewed by 2818
Abstract
Driver behaviour and distraction have been identified as the main causes of rear end collisions. However a promptly issued warning can reduce the severity of crashes, if not prevent them completely. This paper proposes a Forward Collision Warning System (FCW) based on information
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Driver behaviour and distraction have been identified as the main causes of rear end collisions. However a promptly issued warning can reduce the severity of crashes, if not prevent them completely. This paper proposes a Forward Collision Warning System (FCW) based on information coming from a low cost forward monocular camera for low end electric vehicles. The system resorts to a Convolutional Neural Network (CNN) and does not require the reconstruction of a complete 3D model of the surrounding environment. Moreover a closed-loop simulation platform is proposed, which enables the fast development and testing of the FCW and other Advanced Driver Assistance Systems (ADAS). The system is then deployed on embedded hardware and experimentally validated on a test track.
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Open AccessArticle
Designing a Smart Gateway for Data Fusion Implementation in a Distributed Electronic System Used in Automotive Industry
by
Mircea Rîșteiu, Remus Dobra, Alexandru Avram, Florin Samoilă, Georgeta Buică, Renato Rizzo and Dan Doru Micu
Cited by 2 | Viewed by 2484
Abstract
This paper focuses on the interdisciplinary research on the design of a smart gateway for managing the dynamic error code testing collected and generated by the Electronic Control Unit (ECU) from the automotive industry. The techniques used to exchange information between the ECU
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This paper focuses on the interdisciplinary research on the design of a smart gateway for managing the dynamic error code testing collected and generated by the Electronic Control Unit (ECU) from the automotive industry. The techniques used to exchange information between the ECU code errors and knowledge bases, based on data fusion methods, allowed us to consolidate and ensure data reliability, and then to optimize processed data in our distributed electronic systems, as the basic state for Industry 4.0 standards. At the same time, they offered optimized data packets when the gateway was tested as a service integrator for ECU maintenance. The embedded programming solutions offered us safe, reliable, and flexible data packet management results on both communication systems (Transmission Control Protocol/Internet Provider (TCP/IP) and Controller Area Network (CAN) Bus) on the Electronic Control Unit (ECU) tested for diesel, high-pressure common rail engines. The main goal of this paper is to provide a solution for a smart, hardware–software, Industry-4.0-ready gateway applicable in the automotive industry.
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Open AccessArticle
How Much Polish Consumers Know about Alternative Fuel Vehicles? Impact of Knowledge on the Willingness to Buy
by
Anna Kowalska-Pyzalska, Marek Kott and Joanna Kott
Cited by 16 | Viewed by 2820
Abstract
Limited consumer knowledge reduces the chances of the spread of alternative fuel vehicles (AFVs), and hence slows down AFV market spread. In our empirical survey conducted in the first quarter of 2020 among 1002 Poles planning to buy a car in the next
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Limited consumer knowledge reduces the chances of the spread of alternative fuel vehicles (AFVs), and hence slows down AFV market spread. In our empirical survey conducted in the first quarter of 2020 among 1002 Poles planning to buy a car in the next 12 months or who have just bought one, we examine what socio-economic and attitudinal factors influence their willingness to buy an AFV. In particular, we are interested in exploring how AFV knowledge related to understanding of the differences between hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs) and battery electric vehicles (BEVs), as well as brand recognition associate with the willingness to buy. To the best our knowledge, this is a unique study among consumers in Central and Eastern Europe, characterized by lower exposure to AFVs and lower purchasing power. Our results indicate that males with pro-environmental beliefs and behaviors who are interested in modern automotive technologies and have good AFV brand recognition are predominated to be willing to buy an AFV in the near future.
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Planned Papers
The below list represents only planned manuscripts. Some of these
manuscripts have not been received by the Editorial Office yet. Papers
submitted to MDPI journals are subject to peer-review.
1. Inter-vehicle spacing Optimization for eco-driving of autonomous electric vehicles platoons. Bianca Caiazzo, Alberto Petrillo and Stefania Santini
