A Fast Computational Model of Arbitrary Battery Network Topology with Time-varying Working Conditions

Researches on the dynamic reconfigurable battery network (DRBN) are gaining emphasis due to its advantages for meeting the cell balance through deep coupling of individual cells and power electronic switches. However, it is challenging to model a DRBN because of various topological reconfiguration methods and time-varying working conditions. Furthermore, the real-time requirements for state estimation and operational control impose constraints on the computational complexity of the network model. Existing model methods are non-universal, and incapable of the problem of high computational complexity. Therefore, we propose a fast computational model for arbitrary battery network topologies. The proposed model abstracts network topologies as directed graphs and establishes network equations to solve system states of DRBNs. To reduce the computation time, a calculation method is used to reconfigure the network model. Numerical analysis is provided to indicate that the proposed model reduces the computation time by over 70%.