A Method of Remaining Capacity Estimation for Lithium-Ion Battery
Joint Authors
Li, Junfu
Ma, Kehua
Zhang, Liqiang
Wang, Lixin
Luo, Weilin
Lyu, Chao
Source
Advances in Mechanical Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-20
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Combining particle filter (PF) with sample entropy feature of discharge voltage, a method of remaining capacity estimation for lithium-ion battery is proposed.
The sample entropy calculated from discharge voltage curve can serve as an indicator for assessing the condition of battery.
Under a certain working condition, a functional relationship between sample entropy and discharge capacity is created and estimations computed from the function are taken as observations to propagate particles in PF.
The results indicate that the algorithm enhances the accuracy.
Due to the establishment of functions at different discharge rates and temperature modification, prognostic accuracy of discharge capacity has been improved under multi-operating working conditions.
American Psychological Association (APA)
Li, Junfu& Wang, Lixin& Lyu, Chao& Luo, Weilin& Ma, Kehua& Zhang, Liqiang. 2013. A Method of Remaining Capacity Estimation for Lithium-Ion Battery. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-450196
Modern Language Association (MLA)
Li, Junfu…[et al.]. A Method of Remaining Capacity Estimation for Lithium-Ion Battery. Advances in Mechanical Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-450196
American Medical Association (AMA)
Li, Junfu& Wang, Lixin& Lyu, Chao& Luo, Weilin& Ma, Kehua& Zhang, Liqiang. A Method of Remaining Capacity Estimation for Lithium-Ion Battery. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-450196
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-450196