Abstract:
On the cusp of the fourth industrial revolution, the worldwide adoption of electric cars (EVs) is likely to cause grid overload. owing to uncoordinated charging of a high number of EVs. As this figure continue to rise, this problem will continue to grow worse. This difficulty is likely to be mitigated by coordinated charging of electric vehicles. Using a modified Particle Swarm Optimization (PSO) method, this research brings forward the Charging Capacity Model (CCM), which limits the number of EVs that may be charged at different times of the day. The CCM is also implemented using IoT, data analytics, communication, and networking. The proposed concept was tested in Bangladesh using an electric vehicle called the Easy-Bike, a popular three-wheeler EV in the nation.
Description:
Supervised by
Dr. Khondokar Habibul Kabir,
Department of Electrical and Electronic Engineering (EEE),
Islamic University of Technology (IUT),
Board Bazar, Gazipur-1704, Bangladesh.
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022.