Method and system for determining state-of-health of a...

Data processing: artificial intelligence – Fuzzy logic hardware – Fuzzy neural network

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

07051008

ABSTRACT:
A method and system for determining the state-of-health of a nickel-metal hydride battery connected to a load comprises: detecting at least one of a real and imaginary part of an impedance of the battery at each of a first set of selected frequencies, the first set of selected frequencies including at least one frequency, and determining the state-of-health of the battery from a fuzzy system trained in a relationship between each impedance and the state-of-health, wherein the state-of-health is a function of the battery's ability to deliver power required by the load and the battery's capacity to meet load requirements.

REFERENCES:
patent: 3720869 (1973-03-01), Rowlette
patent: 3895284 (1975-07-01), Schweizer et al.
patent: 3984762 (1976-10-01), Dowgiallo, Jr.
patent: 4307330 (1981-12-01), Belot
patent: 4433295 (1984-02-01), Zaugg
patent: 4595880 (1986-06-01), Patil
patent: 4638237 (1987-01-01), Fernandez
patent: 4677363 (1987-06-01), Kopmann
patent: 4743855 (1988-05-01), Randin et al.
patent: 4775827 (1988-10-01), Ijntema et al.
patent: 4876513 (1989-10-01), Brilmyer et al.
patent: 4947123 (1990-08-01), Minezawa
patent: 4958127 (1990-09-01), Williams et al.
patent: 5159272 (1992-10-01), Rao et al.
patent: 5241275 (1993-08-01), Fang
patent: 5284719 (1994-02-01), Landau et al.
patent: 5321627 (1994-06-01), Reher
patent: 5349540 (1994-09-01), Birkle et al.
patent: 5369364 (1994-11-01), Renirie et al.
patent: 5372898 (1994-12-01), Atwater et al.
patent: 5381096 (1995-01-01), Hirzel
patent: 5404106 (1995-04-01), Matsuda
patent: 5451881 (1995-09-01), Finger
patent: 5457377 (1995-10-01), Jonsson
patent: 5541489 (1996-07-01), Dunstan
patent: 5587660 (1996-12-01), Chabbert et al.
patent: 5614829 (1997-03-01), Song
patent: 5631540 (1997-05-01), Nguyen
patent: 5654903 (1997-08-01), Reitman et al.
patent: 5656919 (1997-08-01), Proctor et al.
patent: 5659240 (1997-08-01), King
patent: 5670861 (1997-09-01), Nor
patent: 5701078 (1997-12-01), Lee et al.
patent: 5703464 (1997-12-01), Karunasiri et al.
patent: 5705929 (1998-01-01), Caravello et al.
patent: 5825156 (1998-10-01), Patillon et al.
patent: 5936385 (1999-08-01), Patillon et al.
patent: 6011379 (2000-01-01), Singh et al.
patent: 6668247 (2003-12-01), Singh et al.
patent: 6-242192 (1994-09-01), None
Ultah, et al., “Fast Intelligent Battery Charging: Neural Fuzzy Approach”, IEEE AES Systems Magazine; Jun. 1996.
Cerruto, et al., “Energy Flows Management In Hybrid Vehicles By Fuzzy Logic Controller”, IEEE proceedings of the 7th Mediterranean Electrotechnical Conference; Apr. 1994.
Poulin, et al., “An Expert Management System for URLA Batteries In Remote Telecommunication Centers”, IEEE INTELEC, the 16th Inter. Telecommunications Energy Conference; Nov. 1994.
Brady et al., “A Symbolic Programming Approach To Intelligent Data Reduction”; IEEE Proceedings of the 24th Intersociety Energy Conversion Engineering Conference; Aug. 1989.
S. Sathyanarayana, S. Venugopalan, M.L. Gopikanth, “Impedance parameters and the state-of-charge. I. Nickel-cadmium battery”, Journal of Applied Electrochemistry (1979), pp. 125-139.
S.A.G R. Karunathilaka, N. A. Hampson, T.P. Haas, W. G. Marshall, R. Leek and T.J. Sinclair, “The Impedance of the alkaline zinc-mercuric oxide cell. I. Cell Behavior and interpretation of impedance spectra”, Journal of Applied Electrochemistry (1981); pp. 573-582.
Naoki et al., “Estimation of the state of charge of Sealed Lead Battery by Neural Networks”, Institute of Electronics, Information and Communication Engineers, 1996.
Naoki, et al., “Prediction of the Capacity of Sealed Lead Battery by Neural Networks”, Institute Of Electronics, Information and Communication Engineers, 1996.
Final Report for Nickel Cadmium Battery Expert System, Martin Marietta Corporation Airospace Division, 1986.
Jean A zieu, Hassan Smimite, Christian Glaize, “Improvement of intelligent battery controller: state-of-charge indicator and associated functions”, Journal of Power Sources, 1997, pp. 157-161.
S.A.G.R. Karunathilaka, R. Leek, N. A. Hampson, M. Hughes and T. J. Sinclair, “A state-of-charge test for the Li-CuO cell”, Journal of Applied Electrochemistry (1983), pp. 351-354.
S.A.G.R. Karunathilaka, R. Leek, N. A. Hampson, M. Hughes and T.J. Sinclair, “A state-of-charge test for the Li-CuO cell”, Journal of Appied Electrochemistry (1983), pp. 351-354.
S.A.G.R. Karunathilaka, N.A. Hampson, M. Hughes, W.G. Marshall, R. Leek and T.J. Sinclair, “The prediction of the state-of-charge of some commercial primary cells”, Journal of Applied Electrochemistry (1983), pp. 577-586.
Shigenori, et al., “Estimation of Residual Capacity of a Lead Battery using Neural Networks”, Denki Gakkai Sangvo Keisoku seigyo Kenkyukai shiryo, 1993.
Tanpo N., “Development of a Battery Checking System using Neural Network”, proceedings of the Joint Conference of Hokuriku Chapters of Institute of Elect. Eng., 1995.
Alex Bykat, “Design of an Expert System for Diagnosis of a Space Borne Battery Based Electric Power System”, IEEE, IECEC, proceedings of the 25th Intersociety Energy Conversion Engineering Conference, Aug. 1990.
Taylor, et al., “Standard Smart Batteries for Consumer Applications”, IEEE proceedings of the 10th Annual Battery Conference on Applications and Advances, Jan. 1995.
Tanpo. et al.., “Estimation of the state-of -charge of Sealed Lead Battery by Neural Neworks”, The Institute of Electronics, Information and Communication Engineers, 1996.
Marcus Stoll, “Neural Networks—A Proper Approach to the Energy Management Problem?”, Proceedings of the 10th E. C. Phatorotaic Solar Energy International Conference.
Tanpo et al., “Prediction of the Capacity of Sealed Lead Battery by Neural Network”, Conference proceedings of the Institute of Electronics, Information and Communication Engineers, 1996.
Tanpo et al., “Development of a Battery Checking System Using Neural Network”, proceedings of the Joint Conference of Hokuraku Chapters of Institutes of Electrical engineers, 1995.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method and system for determining state-of-health of a... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method and system for determining state-of-health of a..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for determining state-of-health of a... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3621328

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.