TY - GEN
T1 - Priority Based Power Delivery System for Electric Vehicle Charging
AU - Bari, Noaima
AU - Haque, Ahteshamul
AU - Ahuja, Gaurav
AU - Kurukuru, Varaha Satya Bharath
PY - 2021
Y1 - 2021
N2 - With the rapid increase in the development of electric vehicles (EVs), a priority-based power delivery system for EV charging (EVC) has become a significant necessity. This helps in prioritizing the loads with distributed generation systems connected with the grid and prevents negative impacts such as overloading on the power grid. In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based methodology for priority determination of electric vehicles’ charging is developed considering the battery’s state of charge (SOC), time of stay, distance to be travelled and battery capacity. The proposed approach aims at enhancing the power delivering capability of the utility and overcome the drawback of unbalanced loading while performing EVC. To assess the performance of the proposed approach, the control and simulation of a grid connected EVC is done using 3 level converters. The results depict a smooth ripple free DC voltage which charges the vehicle with the highest priority.
AB - With the rapid increase in the development of electric vehicles (EVs), a priority-based power delivery system for EV charging (EVC) has become a significant necessity. This helps in prioritizing the loads with distributed generation systems connected with the grid and prevents negative impacts such as overloading on the power grid. In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based methodology for priority determination of electric vehicles’ charging is developed considering the battery’s state of charge (SOC), time of stay, distance to be travelled and battery capacity. The proposed approach aims at enhancing the power delivering capability of the utility and overcome the drawback of unbalanced loading while performing EVC. To assess the performance of the proposed approach, the control and simulation of a grid connected EVC is done using 3 level converters. The results depict a smooth ripple free DC voltage which charges the vehicle with the highest priority.
KW - Electric vehicle charging
KW - Adaptive neuro fuzzy inference system
KW - Voltage oriented control
KW - Charging prioritization
KW - Battery state of charge
U2 - https://doi.org/10.1007/978-3-030-77246-8_4
DO - https://doi.org/10.1007/978-3-030-77246-8_4
M3 - Conference Paper
BT - European, Asian, Middle Eastern, North African Conference on Management & Information Systems
ER -