Publication:
Charge equalization controller algorithm for series-connected lithium-ion battery storage systems: Modeling and applications

No Thumbnail Available
Date
2017
Authors
Hannan M.A.
Hoque M.M.
Ker P.J.
Begum R.A.
Mohamed A.
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI AG
Research Projects
Organizational Units
Journal Issue
Abstract
This study aims to develop an accurate model of a charge equalization controller (CEC) that manages individual cell monitoring and equalizing by charging and discharging series-connected lithium-ion (Li-ion) battery cells. In this concept, an intelligent control algorithm is developed to activate bidirectional cell switches and control direct current (DC)-DC converter switches along with pulse width modulation (PWM) generation. Individual models of an electric vehicle (EV)-sustainable Li-ion battery, optimal power rating, a bidirectional flyback DC-DC converter, and charging and discharging controllers are integrated to develop a small-scale CEC model that can be implemented for 10 series-connected Li-ion battery cells. Results show that the charge equalization controller operates at 91% efficiency and performs well in equalizing both overdischarged and overcharged cells on time. Moreover, the outputs of the CEC model show that the desired balancing level occurs at 2% of state of charge difference and that all cells are operated within a normal range. The configuration, execution, control, power loss, cost, size, and efficiency of the developed CEC model are compared with those of existing controllers. The proposed model is proven suitable for high-tech storage systems toward the advancement of sustainable EV technologies and renewable source of applications. � 2017 by the authors. Licensee MDPI.
Description
Algorithms; Charging (batteries); Controllers; DC-DC converters; Efficiency; Electric inverters; Electric machine control; Equalizers; Ions; Lithium-ion batteries; Models; Pulse width modulation; Voltage control; Accurate modeling; Charge equalization; Controller algorithm; Existing controllers; Individual models; Renewable sources; State of charge; Sustainable energy; Battery management systems
Keywords
Citation
Collections