Prediction of State-of-Health for Nickel-Metal Hydride Batteries by a Curve Model Based on Charge-Discharge Tests

Huan Yang, Yubing Qiu and Xingpeng Guo
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Huan Yang: School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Yubing Qiu: School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Xingpeng Guo: School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Energies, 2015, vol. 8, issue 11, 1-14

Abstract: Based on charge-discharge cycle tests for commercial nickel-metal hydride (Ni-MH) batteries, a nonlinear relationship is found between the discharging capacity ( C discharge , Ah) and the voltage changes in 1 s occurring at the start of the charging process (? V charge , mV). This nonlinear relationship between C discharge and ? V charge is described with a curve equation, which can be determined using a nonlinear least-squares method. Based on the curve equation, a curve model for the state-of-health (SOH) prediction is constructed without battery models and cycle numbers. The validity of the curve model is verified using ( C discharge , ? V charge ) data groups obtained from the charge-discharge cycle tests at different rates. The results indicate that the curve model can be effectively applied to predict the SOH of the Ni-MH batteries and the best prediction root-mean-square error (RMSE) can reach upto 1.2%. Further research is needed to confirm the application of this empirical curve model in practical fields.

Keywords: nickel-metal hydride (Ni-MH) battery; state-of-health (SOH); curve fitting; nonlinear least-squares method; prediction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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