TY - GEN
T1 - Optimization of a Photovoltaic Station for Charging Electric Vehicles
AU - Clemente, Saul Beltozar
AU - Escandon, Winy Livet Herrera
AU - Iparraguirre-Villanueva, Orlando
AU - Zapata-Paulini, Joselyn
AU - Cabanillas-Carbonell, Michael
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2024
Y1 - 2024
N2 - The constant struggle to reduce greenhouse gas emissions caused by internal combustion vehicles makes electromobility a latent alternative solution. The main difficulty in its implementation is the scarce or non-existent presence of solar charging stations for electric vehicles in all regions. This paper illustrates the design optimization and simulation of an electric vehicle charging station that integrates solar energy. An optimal design of the charging station with MPPT, PID controllers, as well as current control strategies, is shown. The design took into account the dynamic needs such as the geographical area of maximum irradiance using PV GIS, an optimal system with PVsyst, the design, and simulation of the charging station showing the dynamic values of power versus time, as well as current versus time, validated by MATLAB/Simulink. After sizing it was obtained that the optimal charging station should have 3 photovoltaic systems of 19 modules distributed in 5 strings each, providing an average daily electrical power of 684 kWh.
AB - The constant struggle to reduce greenhouse gas emissions caused by internal combustion vehicles makes electromobility a latent alternative solution. The main difficulty in its implementation is the scarce or non-existent presence of solar charging stations for electric vehicles in all regions. This paper illustrates the design optimization and simulation of an electric vehicle charging station that integrates solar energy. An optimal design of the charging station with MPPT, PID controllers, as well as current control strategies, is shown. The design took into account the dynamic needs such as the geographical area of maximum irradiance using PV GIS, an optimal system with PVsyst, the design, and simulation of the charging station showing the dynamic values of power versus time, as well as current versus time, validated by MATLAB/Simulink. After sizing it was obtained that the optimal charging station should have 3 photovoltaic systems of 19 modules distributed in 5 strings each, providing an average daily electrical power of 684 kWh.
KW - Charging station
KW - Electric vehicles
KW - Photovoltaic
KW - Solar energy
UR - http://www.scopus.com/inward/record.url?scp=85174693887&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-3043-2_80
DO - 10.1007/978-981-99-3043-2_80
M3 - Conference contribution
AN - SCOPUS:85174693887
SN - 9789819930425
T3 - Lecture Notes in Networks and Systems
SP - 963
EP - 973
BT - Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023
A2 - Yang, Xin-She
A2 - Sherratt, R. Simon
A2 - Dey, Nilanjan
A2 - Joshi, Amit
T2 - 8th International Congress on Information and Communication Technology, ICICT 2023
Y2 - 20 February 2023 through 23 February 2023
ER -
