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http://dx.doi.org/10.6113/JPE.2019.19.4.858

Analysis, Design and Implementation of Flexible Interlaced Converter for Lithium Battery Active Balancing in Electric Vehicles  

Dai, Shuailong (College of Electrical Engineering and New Energy, China Three Gorges University)
Wang, Jiayu (College of Electrical Engineering and New Energy, China Three Gorges University)
Li, Teng (College of Electrical Engineering and New Energy, China Three Gorges University)
Shan, Zhifei (College of Electrical Engineering and New Energy, China Three Gorges University)
Wei, Yewen (Hubei Province Collaborative Innovation Center for New Energy Microgrids, China Three Gorges University)
Publication Information
Journal of Power Electronics / v.19, no.4, 2019 , pp. 858-868 More about this Journal
Abstract
With the widespread use of modern clean energy, lithium-ion batteries have become essential as a more reliable energy storage component in the energy Internet. However, due to the difference in monomers, some of the battery over-charge or over-discharge in battery packs restrict their use. Therefore, a novel multiphase interleaved converter for reducing the inconsistencies of the individual cells in a battery pack is proposed in this paper. Based on the multiphase converter branches connected to each lithium battery, this circuit realizes energy transferred from any cell(s) to any other cell(s) complementarily. This flexible interlaced converter is composed of an improved bi-directional Buck-Boost circuit that is presented with its own available control method. A simulation model based on the PNGV model of fundamental equalization is built with four cells in PSIM. Simulation and experimental results demonstrate that converter and its control achieve simple and fast equalization. Furthermore, a comparison of traditional methods and the HNFABC equalization is provided to show the performance of the converter and the control of lithium-based battery stacks.
Keywords
Battery energy storage; Bidirectional equalization; Flexible interlaced converter; PNGV model;
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