Data processing: artificial intelligence – Fuzzy logic hardware
Reexamination Certificate
2006-07-04
2006-07-04
Knight, Anthony (Department: 2121)
Data processing: artificial intelligence
Fuzzy logic hardware
C320S132000, C706S900000
Reexamination Certificate
active
07072871
ABSTRACT:
A system for determining the state-of-health of batteries has an adaptive component. The system tests a battery by measuring a number of electrochemical parameters and using fuzzy logic to compute a state-of-health for the battery. The fuzzy logic computations are based upon membership functions which are preferably triangular. The membership functions may be stored in a matrix. The adaptive component adapts the system for use with new models of battery by obtaining a reliable measurement of SoH for a number of calibration batteries. Electrochemical parameters of the calibration batteries are measured. The adaptive component modifies a prototype matrix selected to match the chemistry type of the calibration batteries by scaling, translating and flexing its membership functions to achieve a matrix which specifies membership functions suitable for assessing state-of-health of the new model of battery.
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Cadex Electronics Inc.
Knight Anthony
Oyen Wiggs Green & Mutala LLP
Williams, Jr. Ronald E.
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