Patent ID: 6064180
Filing Date: 2000-05-16
Classification: B60L,G01R,Y02T

Abstract:
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.