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Bien, Franklin
Bien’s Integrated Circuit Design Lab (BICDL)
Research Interests
  • Wireless Power Transfer(WPT), touch screen, finger print, RADAR, RF IC.

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Neuro-fuzzy controller for battery equalisation in serially connected lithium battery pack

DC Field Value Language
dc.contributor.author Nguyen, Thi Thu Ngoc ko
dc.contributor.author Yoo, Hyon-Gi ko
dc.contributor.author Oruganti, Sai K. ko
dc.contributor.author Bien, Franklin ko
dc.date.available 2015-04-02T04:09:57Z -
dc.date.created 2015-04-01 ko
dc.date.issued 2015-03 ko
dc.identifier.citation IET POWER ELECTRONICS, v.8, no.3, pp.458 - 466 ko
dc.identifier.issn 1755-4535 ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/11140 -
dc.description.abstract This study presents a non-linear, dynamic control method for equalising battery cell voltages in a serially connected lithium-ion battery system based on an adaptive neuro-fuzzy inference system. By using a combination of neuron networks and fuzzy logic, the optimal control method is obtained by self-learning capability to equalise the current between battery cells. The duty cycle used to control the metal-oxide-semiconductor field-effect transistors in individual battery cell equalisers are changed based on the dynamic equalising and system status. While energy is transferred from higher voltage cells to lower voltage cells, online measurement is utilised to collect data for tracking. Therefore the duty cycle control has an optimal response in this battery system. The state of the optimal control output is presented in simulation results. To demonstrate the effectiveness of the proposed control scheme and robustness of the acquired neuron-fuzzy controller, the controller was implemented in a serially connected lithium battery system model using a microprocessor. The proposed system achieved a learning accuracy error of 1.8 x 10(-5), and the equalising time was approximately 3000 s for a 0.25-V voltage gap. ko
dc.description.statementofresponsibility close -
dc.language 영어 ko
dc.publisher INST ENGINEERING TECHNOLOGY-IET ko
dc.title Neuro-fuzzy controller for battery equalisation in serially connected lithium battery pack ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84924917272 ko
dc.identifier.wosid 000351283200014 ko
dc.type.rims ART ko
dc.description.wostc 0 *
dc.description.scopustc 0 *
dc.date.tcdate 2016-01-15 *
dc.date.scptcdate 2015-11-04 *
dc.identifier.doi 10.1049/iet-pel.2013.0657 ko
dc.identifier.url http://digital-library.theiet.org/content/journals/10.1049/iet-pel.2013.0657 ko
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