Health Status Comparisons of Lithium-Ion Batteries When FusingVarious Features

doi:10.23940/ijpe.19.01.p14.138145

Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (1): 138-145.doi: 10.23940/ijpe.19.01.p14.138145

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Health Status Comparisons of Lithium-Ion Batteries When FusingVarious Features

Xueling Hao^a, Yongquan Sun^a^b*(), Zimei Su^a, and Bo Liu^a

a Institute of Sensor and Reliability Engineering (ISRE), Harbin University of Science and Technology, Harbin, 150080, China
b Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, 20742, USA

Revised on ; Accepted on
Contact: Sun Yongquan E-mail:1252339448@qq.com
About author:Xueling Hao is currently studying for a Master’s degree in electronics and communications engineering at Harbin University of Science and Technology. Her main research interests are reliability engineering and sensor technology.|Yongquan Sun is an associate professor in the School of Measurement Technology and Communication Engineering at Harbin University of Science and Technology. His current research interests include complex system reliability and maintainability, failure mechanisms for electronic devices, and PHM.|Zimei Su is a professor at Harbin University of Science and Technology. His main research interests are reliability engineering and sensor technology.

Abstract

Abstract:

In order to solve the one-sidedness problem based on a single indicator for evaluating the status of health (SOH) and predicting the remaining useful life (RUL) of lithium-ion batteries, a new algorithm is developed where the different features are integrated on the basis of the beta function distribution. The data of the capacity, internal resistance, and constant current charging time (CCCT) of lithium-ion batteries are analyzed, and then the fused features are presented. The simulation includes the data fusion of different types of batteries and the comparison between the SOH of a single indicator and the SOH of two or three fused indicators. From the simulation results, the end-of-life of the three features after fusion is shorter than the capacity, which indicates that multi-indicators are closer to the real situation than a single indicator for SOH and RUL.

Key words: lithium-ion battery, SOH, the integration of different features, beta distribution function

Xueling Hao, Yongquan Sun, Zimei Su, and Bo Liu. Health Status Comparisons of Lithium-Ion Batteries When FusingVarious Features [J]. Int J Performability Eng, 2019, 15(1): 138-145.

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References 21

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Battery	Charge profile	Discharge profile
CS2-33 Constant current rate of 0.5C	Constant current charge at 0.55A from 3.8V to 4.2V, constant voltage charge at 4.2V from 1.1A to 0.05A.	Constant current discharge at 1.1A from 4.2V to 2.7V
CS2-38Constant current rate of 1.0C	Constant current charge at 0.55A from 3.8V to 4.2V, constant voltage charge at 4.2V from 1.1A to 0.05A.	Constant current discharge at 0.55A from 4.2V to 2.7V
CX2-34Constant current rate of 1.0C	Constant current charge at 0.675A from 3.6V to 4.2V, constant voltage charge at 4.2V from 1.16A to 0.05A.	Constant current discharge at 1.35A from 4.2V to 2.7V

Health Status Comparisons of Lithium-Ion Batteries When FusingVarious Features

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