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Health Status Comparisons of Lithium-Ion Batteries When Fusing Various Features

Volume 15, Number 1, January 2019, pp. 138-145
DOI: 10.23940/ijpe.19.01.p14.138145

Xueling Haoa, Yongquan Suna,b, Zimei Sua, and Bo Liua

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

(Submitted on October 6, 2018; Revised on November 16, 2018; Accepted on December 18, 2018)


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.


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