Estimation of Cell SOC Evolution and System Performance in Module-based Battery Charge Equalization Systems
Journal article, 2019

Large-scale battery systems have been applied to a number of grid-level energy storage services such as microgrid capability and distribution upgrade due to the penetration of solar/wind energy. In these battery applications, charge imbalance among battery cells/modules/packs becomes a common issue, which can reduce available battery capacity, accelerate battery degradation, and even cause some safety hazards. To tackle this issue, various battery charge equalization (BCE) systems have been proposed in recent decades, among which the module-based BCE system is widely viewed as a promising solution and has drawn increasing attention. In this paper, we study the module-based BCE systems by presenting a mathematical model that can characterize the charge transfer behavior in such systems, and then proposes computationally efficient algorithms to estimate the instantaneous battery cell state of charge (SOC), charge equalization time, and charging/discharging time, based on given system parameters and various initial battery cell SOCs. In addition, the conditions are derived to ensure that all battery cells can reach charge equalization and then get fully charged/discharged together without overcharging/overdischarging. All theoretical results are illustrated and justified through extensive numerical experiments.

Charge transfer

computational efficiency.

Battery system

battery charging/discharging

Estimation

state of charge

Mathematical model

State of charge

Equalizers

charge balance/equalization

Batteries

Author

Weiji Han

University of Connecticut

Changfu Zou

Chalmers, Electrical Engineering, Systems and control

Chen Zhou

University of Massachusetts

Liang Zhang

University of Connecticut

IEEE Transactions on Smart Grid

1949-3053 (ISSN) 19493061 (eISSN)

Vol. 10 5 4717-4728

Subject Categories

Other Chemical Engineering

Energy Systems

Computer Systems

DOI

10.1109/TSG.2018.2867017

More information

Latest update

5/23/2022