Modeling and Stability Analysis of Active Balancing Battery Cell-Based Multi Forward Converter Using DCA

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Arya Kusumawardana, Langlang Gumilar, Angger Baskoro, Yoga Prasetya

2021 7th International Conference on Electrical, Electronics and Information Engineering: Technological Breakthrough for Greater New Life, ICEEIE 2021 Conference paper Cited by 0 Quartile

Abstract

BMS is a device that not only monitors the energy in the battery pack but also ensures the safety and energy balance of each cell when in use. In this study, to ensure the energy of each cell is balanced, a Discrete Consensus Algorithm is proposed which is applied to a Pack-to-Cell-based BMS with a multi-forward converter. The proposed system can be modeled into LTI state space. Focusing on system stability, DCA is applied to systems such as the state feedback with a gain matrix. The characteristics of the system response can be known only from the eigenvalue matrix. The results show that the difference in DCA topology does not affect the stability and convergence of the system during condition 0 < μ ≤ 1. In addition, the selection of DCA gain can cause the system to be unable to converge and stabilize if it is not in the 0 < < 1/dmax condition. It can be said that the suitability of the DCA gain value will affect the stability and convergence of the system. © 2021 IEEE.

Affiliations

Universitas Negeri Malang, Department Of Electrical Engineering, Malang, Indonesia; National Yang Ming Chiao Tung University, Department Of Electrical And Computer Engineering, Hsinchu, Taiwan