Patent Document ID: 6064180
Application ID: 08740421
Patent Flag: 1

Claim One:
1. A neural network system for determining a state-of-charge of an electro-chemical device in a motor vehicle used for providing power to an electric machine in a drive mode and for receiving power from the electric machine in a regenerative mode, said electro-chemical device including a plurality of electro-chemical modules, said neural network system comprising, in combination: an input layer including a plurality of input layer processing elements; a hidden layer including a plurality of non-linear hidden layer processing elements; an output layer including a linear output processing element for providing a scalar output representative of the state-of-charge, said linear output procesing element providing non-asymptotic convergence of the scalar output to battery state-of-charge boundaries; respective sets of pre-established inter-layer weights having been established in accordance with predetermined input training vectors and corresponding state-of-charge target values, said input training vectors and corresponding state-of-charge target values respectively established from values of a predetermined set of electro-chemical device parameters and corresponding values of state-of-charge resulting from electro-chemical device responses during predetermined charge cycling profile including charge cycling profiles corresponding to predefined vehicle driving schedules; means for determing values of the predetermined set of electro-chemical device parameters during vehicle operation; means for establishing an input recall vector from said values and an historically determined value of one of said electro-chemical device parameters; processing means for propagating said input recall vector through said neural network to establish said state-of-charge of the electro-chemical device as a scalar value which non-asymptotically converges to values of 100% and 0% state-of-charge.