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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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An adaptive backward control battery equalization system for serially connected lithium-ion battery packs

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Title
An adaptive backward control battery equalization system for serially connected lithium-ion battery packs
Author
Nguyen, NgocOruganti, Sai K.Na, KyungminBien, Franklin
Issue Date
2014-10
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.63, no.8, pp.3651 - 3660
Abstract
This paper presents an adaptive controller for a battery equalization system (BES) for serially connected Li-ion battery packs. The proposed equalization scheme consists of software and hardware parts to implement an adaptive neuro-fuzzy algorithm. The proposed combined software and hardware implementation of the adaptive neuro-fuzzy algorithm provides an offline learning ability to track the dynamic reactions on battery packs and a high-speed response for equalizing currents in the individual cell equalizers (ICEs). The output currents driving pulsewidth-modulated (PWM) signals are generated from the proposed hardware analog controllers. A feedback line is utilized to observe these output currents for the training process. The adaptive neuro-fuzzy algorithm is implemented in the main processor to provide adaptive parameters for the hardware. The proposed BES has an adaptability and tracking ability to deal with dynamic reactions of serially connected battery cells. The hardware controllers are implemented in a 0.13-μ m CMOS technology with a supply voltage of 2.5 V. The results demonstrate that the proposed scheme has the ability to learn from previous stages and to provide a precise model of the battery cell voltages and currents. The proposed system achieved learning accuracy error of 1.8 × e-5.
URI
https://scholarworks.unist.ac.kr/handle/201301/8605
URL
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84908093784
DOI
10.1109/TVT.2014.2304453
ISSN
0018-9545
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EE_Journal Papers
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