The Key Technologies of the Energy Storage System - Smart Battery Management System for Distributed Energy Resources

Description

This project aims at developing a smart battery management system (SBMS) for management and control of a plurality of rechargeable batteries for future distributed energy resources. A distinctive feature of this SBMS is that it will conduct real-time estimation of the intrinsic parameters of each cell, including the internal capacitances, internal resistances, equivalent dependent voltage and current sources. The intrinsic parameters of each cell are estimated by an evolutionary computation technique called adaptive particle swarming optimization scheme, which is based on continuously sensing the individual cell voltage, current and temperature. Operators will be provided with information about the state-of-charge and state-of-health of each cell. More importantly, the estimated intrinsic parameters will be used to define the charging profile, discharging control, and capacity balancing scheme for each cell. The core of the SBMS consists of a modular-based two-phase power processing hierarchy and a central controller. As a result of this SBMS, the lifetime of the entire battery pack can be predicted and prolonged.