Method and apparatus for determining battery state-of-charge usi

Electricity: battery or capacitor charging or discharging – Battery or cell discharging – With charging

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H01M 1044, H01M 1046

Patent

active

060641800

ABSTRACT:
A neural network characterized by a minimal architecture suitable for implementation in conventional microprocessor battery pack monitoring hardware includes linear and non-linear processing elements and battery parameter measurements representative of real time and temporal quantities whereby state of charge estimations actually converge with 100% and 0% states-of-charge.

REFERENCES:
patent: 5596260 (1997-01-01), Moravec et al.
Stoll, Marcus; Neural Networks--A Proper Approach to the Energy Management Problem?; Apr., 1991.
Ajluni, Cheryl; Neural Network/Fuzzy-Logic Technology Enables Intelligent and Fast Battery-Charger Circuit; May, 1995; p. 38; Electronic Design.
Patton, Alton; Modeling Car Batteries with Neural Networks; Oct. 1993; p. 133; Machine Design.
Stoll, "Neural Networks--A Proper Approach to the Energy Management Problem," 10.sup.th European Photovoltaic Solar Energy Conference, pp. 427-430, Apr. 1991.
Yung et al., "A MicroController-based Battery Charger using Neural-Fuzzy Technology," IEE, pp. 277-282, 1994.

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