Fuzzy logic modeling of high performance rechargeable batteries

Conference · Wed Jul 01 00:00:00 EDT 1998

OSTI ID:20000192

Singh, P; Fennie, C Jr; Reisner, D E; Salkind, A J

Accurate battery state-of-charge (SOC) measurements are critical in many portable electronic device applications. Yet conventional techniques for battery SOC estimation are limited in their accuracy, reliability, and flexibility. In this paper the authors present a powerful new approach to estimate battery SOC using a fuzzy logic-based methodology. This approach provides a universally applicable, accurate method for battery SOC estimation either integrated within, or as an external monitor to, an electronic device. The methodology is demonstrated in modeling impedance measurements on Ni-MH cells and discharge voltage curves of Li-ion cells.

• Research Organization: Villanova University, PA (US)
• OSTI ID: 20000192
• Resource Relation: Conference: 33rd Intersociety Energy Conversion Engineering Conference, Colorado Springs, CO (US), 08/02/1998--08/06/1998; Other Information: 1 CD-ROM. Operating system required: Windows 3.x; Windows 95/NT; Macintosh; UNIX. All systems need 2X CD-ROM drive., PBD: 1998; Related Information: In: Proceedings of the 33. intersociety energy conversion engineering conference, by Anghaie, S. [ed.], [2800] pages.
• Country of Publication: United States
• Language: English

Related Subjects

25 ENERGY STORAGE
ELECTRIC BATTERIES
BATTERY CHARGE STATE
MATHEMATICAL MODELS
FUZZY LOGIC
MEASURING METHODS
NICKEL-HYDROGEN BATTERIES
METAL-NONMETAL BATTERIES