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Electrical Modelling and Emulation of High Power Lithium-ion Battery /

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dc.contributor.author Fatima, Rida
dc.date.accessioned 2020-10-26T11:43:43Z
dc.date.available 2020-10-26T11:43:43Z
dc.date.issued 2018-09
dc.identifier.other 170395
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/5236
dc.description Supervisor : Dr. Arsalan Habib Khawaja en_US
dc.description.abstract A Robust demand of portable electrical and electronics devices in recent decade has led to corresponding demand of high performance batteries. Due to High energy density and less weightage, Lithium-ion Batteries have become the center of interest for electrical and electronics industries. Explicitly, electric vehicle industry where the predilection of producer is low weight, cost and high energy density, lithium batteries are preferred. An extensive research is going on in revolutionizing the most efficient power sources for EVs and in that attempt, Lithium-ion (Li-ion) batteries have come up as quite a promising option. With their high energy densities of 200-250 W.h/kg, increased tolerance to heavier loads and comparatively less charging time, Li-ion batteries provide an optimal solution for today’s EVs. With a standard battery size, it offers an average EV a drive of 250 kilometers. To maintain the efficient performance of the cell, awareness of cell states is crucial. The objective of this thesis work is to design and emulate the battery parameters while considering the dynamic and static behavior of battery. The battery parameters that will be examined in this thesis will be temperature and state of charge. Parameter estimation method will be used to simulate electric circuit model and during parameter estimation, a discharge profile will be iteratively simulated and its results compared with experimental data. Dynamics of battery will be modeled using equivalent electric circuits in Simscape and experimentally verify through tests. en_US
dc.language.iso en_US en_US
dc.publisher U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), NUST en_US
dc.relation.ispartofseries TH-112
dc.subject Battery Equivalent Circuit model en_US
dc.subject Lithium-ion-battery en_US
dc.subject SOC (State of charge) Estimation en_US
dc.subject OCV (Open Circuit Voltage) Estimation en_US
dc.subject Electric Vehicle Battery modeling en_US
dc.title Electrical Modelling and Emulation of High Power Lithium-ion Battery / en_US
dc.type Thesis en_US


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