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Nonlinear Control of Flywheel based Hybrid Energy Storage System of Plug-in Electrical Vehicle

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dc.contributor.author Mazhar, Noor Us Sabah
dc.date.accessioned 2023-09-11T05:21:22Z
dc.date.available 2023-09-11T05:21:22Z
dc.date.issued 2023
dc.identifier.other 320399
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/38469
dc.description Supervisor: Dr. Iftikhar Ahmad Rana en_US
dc.description.abstract The imperative drive for evolution within the electric vehicle (EV) sector, aimed at pro moting clean energy generation, has yielded remarkable advancements in recent times. Among these advancements, plug-in hybrid electric vehicles (PHEVs) have emerged as a notably favorable option. The subsystems of PHEVs comprise of Integrated Charging Unit and Hybrid Energy Storage System. While designing robust nonlinear controllers, the task of devising resilient nonlinear controllers presents a notable challenge due to factors including, but not limited to, actuator limitations and saturation effects. A con trol design investigation is conducted employing nonlinear dynamic inversion, effectively mitigating the necessity for complete state feedback. The designed system is subjected to in-depth scrutiny through nonlinear simulations. The simulation outcomes vividly demonstrate the successful pursuit of desired command tracking when the formulated controller is employed within the comprehensive system framework. Classical stabil ity margin analysis is harnessed to strategically attain the desired equilibrium between robust stability and optimal disturbance rejection. The findings strongly suggest the viability of implementing dynamic inversion in the context of PHEV control design, contingent upon the application of comprehensive full-order linear analysis to ensure overall stability and accurate modeling of low-frequency dynamics. The obtained re sults are subsequently juxtaposed with outcomes derived from the utilization of Integral Backstepping (IBS) control. en_US
dc.language.iso en en_US
dc.publisher School of Electrical Engineering and Computer Sciences (SEECS), NUST en_US
dc.title Nonlinear Control of Flywheel based Hybrid Energy Storage System of Plug-in Electrical Vehicle en_US
dc.type Thesis en_US


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