| 摘要 |
A method predicts the battery state in "real-time", which is based on a nodal algorithmic model. Under this method, the battery is modeled as a network mesh of both linear and non-linear electrical branch elements. Those branch elements are interconnected through a set of nodes. Each node can have several branches either originating or ending into it. The branch elements may represent loosely some particular function or region of the battery or they may serve a pure algorithmic function. The non-linear behavior of the elements may be described either algorithmically or through lookup tables. Kirchhoff's laws are applied on each node to describe the relationships between currents and voltages. The system may be connected with a battery so that it can receive measured values at the battery, and the system yields state-of-charge, state-of-health, and state-of- function signals. |
