NDLI: The state of health of Li-Po batteries based on the battery's parameters and a fuzzy logic system

Content Provider	IEEE Xplore Digital Library
Author	Ananto, P. Syabani, F. Indra, W.D. Wahyunggoro, O. Cahyadi, A.I.
Copyright Year	2013
Description	Author affiliation: Electr. Eng. & Inf. Technol. Dept., Univ. Gadjah Mada, Yogyakarta, Indonesia (Ananto, P.; Syabani, F.; Indra, W.D.; Wahyunggoro, O.; Cahyadi, A.I.)
Abstract	The battery management system (BMS) is an important component of electric and hybrid-electric vehicles. The purpose of the BMS is to keep the battery operation safe and reliable. Fuzzy logic system (FLS) is one of the methods used to maintain the safety and reliability of the battery by state monitoring and evaluation, charge control, and cell balancing in BMS. Fuzzy logic data analysis were used to estimate state of health (SOH). To get data for FLS, temperature value and absolute value of the current were needed. The FLS does not need an exact mathematical model to make decision about a coefficient's selection. This methodology was chosen to control the SOH output.
Starting Page	1
Ending Page	4
File Size	530006
Page Count	4
File Format	PDF
ISBN	9781479933631
e-ISBN	9781479933655
DOI	10.1109/rICT-ICeVT.2013.6741508
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-26
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Resistance Temperature measurement State of health Fuzzy logic system Logic gates Battery management system Battery charge measurement Batteries Electrical resistance measurement State of charge
Content Type	Text
Resource Type	Article

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