A novel Charging Capacity Model (CCM) for electric vehicle charging

Aurko, Shafquat Yasar; Salehdin, Riyad; Rafi, Faiaz Allahma

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dc.contributor.author	Aurko, Shafquat Yasar
dc.contributor.author	Salehdin, Riyad
dc.contributor.author	Rafi, Faiaz Allahma
dc.date.accessioned	2023-04-10T08:14:11Z
dc.date.available	2023-04-10T08:14:11Z
dc.date.issued	2022-05-31
dc.identifier.uri	http://hdl.handle.net/123456789/1825
dc.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.	en_US
dc.description.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.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Electrical and Electronic Engineering(EEE), Islamic University of Technology(IUT),	en_US
dc.subject	Electric vehicles, charging station, Charging Capacity Model, Coordinated charging, power overload.	en_US
dc.title	A novel Charging Capacity Model (CCM) for electric vehicle charging	en_US
dc.type	Thesis	en_US