Publications

Abstract This paper describes smart power management and charging scheduling strategy for a multiple port electric vehicle (EV) charging station, connected to battery storage systems and renewable energy sources. The charging station can charge different types of EVs, like electric scooters and passenger cars at different power levels. The energy management optimizes the usage of the power sources to fulfill the charging demand by analyzing the overall load demand, the electricity tariff, and the information provided by the EV user. The station’s control system is set up to satisfy the charging demand primarily with a solar photovoltaic (PV) array and an energy storage system (ESS) as a battery. In the case of PV power generation and battery power shortage, it draws power from the grid to fulfill the charging demand. Additionally, a charging scheduling strategy is described in this paper in which the charging current setpoint for each charger is estimated by an optimization process in the local charger controller. The overall system management and charging scheduling are simulated and verified in the MATLAB/Simulink environment.

Authors: Shahid Jamana, Boud Verbruggea, Assel Zhaksylyka, Thomas Geurya, Mohamed El Baghdadia, Omar Hegazya

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Abstract The transition from conventional vehicles to electric vehicles dictates the design and development of user-centric charging solutions aiming to facilitate the accessibility to as well as the usability of the charging network and improve the user’s charging experience. This paper presents the design of booking services to facilitate electric vehicle users to reserve a charging solution based on their charging preferences and needs. The objective is to develop interoperable booking services for static and mobile charging stations and battery swapping ones which will enhance the communication of user’s reservation requests to the Charging Point Operator, reduce the time wasted by EV users searching unoccupied charging stations and, consequently, improve EV user’s charging experience.

Authors: Maria Pia Fanti, Michele Roccotelli, Alessandro Rinaldi, Daniele Pagano, Raol Buqi, Stefano Persi, Montserrat Anglès, Evangelos Karfopoulos, Angelos Amditis

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Abstract Transport electrification is an accelerating reality which should be complemented by the respective charging technologies and services for its successful deployment. While the electric vehicle (EV) market is now fully developed, users still have concerns about key areas of the electric vehicle charging infrastructure. The transition from conventional vehicles to electric ones dictates the design and development of user-centric charging solutions aiming to facilitate the accessibility to as well as the usability of the charging network and improve the user’s charging experience. This paper aims to highlight the critical issues of the electric mobility sector and analyse smart charging approaches supporting the large-scale implementation of electric cars.

Authors: Alessandro Rinaldi, Maria Pia Fanti, Michele Roccotelli, Evangelos Karfopoulos, Angelos Amditis, Villy Portouli

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Abstract Vehicle-to-Grid (V2G) technology is viewed as a viable solution to offer auxiliary power system services. Currently, V2G operation is only possible through DC chargers using the CHAdeMO connector with the necessary communication protocol. However, in Europe, for high-power DC charging (>50 kW), the Combined Charging Service (CCS) Type 2 is preferred over CHAdeMO. Therefore, this work presents the development of a V2G testing system with a Combo CCSType 2 charger including communication via the ISO 15118-2 protocol. The BOSCH passenger car with a 400 V battery pack is used to test and validate the technical feasibility of V2G charging via a Combo CCS Type 2 connector standard. The V2G feature is characterized in terms of efficiency, signal delay, response proportionality, magnitude accuracy and noise precision. A data driven V2G charger simulation model based on the real-time data is also developed in MATLAB/Simulink. The performance under various operating settings is presented in the outcomes, emphasizing the need for appropriate hardware calibration, and understanding while delivering standard-compliant grid control services using V2G technology. Finally, the results of the simulation model are compared with the real hardware results in terms of error, noise level and data magnitude accuracy.

Authors: Shahid Jaman, Boud Verbrugge, Oscar Hernandez Garcia, Mohamed Abdel-Monem, Blum Oliver, Thomas Geury, Omar Hegazy

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