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Energies 2015, 8(11), 12474-12487; doi:10.3390/en81112322

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

1
School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
2
Key laboratory of Material Chemistry for Energy Conversion and Storage, Huazhong University of Science and Technology, Ministry of Education, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Academic Editor: Izumi Taniguchi
Received: 24 June 2015 / Revised: 13 October 2015 / Accepted: 27 October 2015 / Published: 4 November 2015
View Full-Text   |   Download PDF [1935 KB, uploaded 4 November 2015]   |  

Abstract

Based on charge-discharge cycle tests for commercial nickel-metal hydride (Ni-MH) batteries, a nonlinear relationship is found between the discharging capacity (Cdischarge, Ah) and the voltage changes in 1 s occurring at the start of the charging process (ΔVcharge, mV). This nonlinear relationship between Cdischarge and ΔVcharge 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 (Cdischarge, ΔVcharge) 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. View Full-Text
Keywords: nickel-metal hydride (Ni-MH) battery; state-of-health (SOH); curve fitting; nonlinear least-squares method; prediction nickel-metal hydride (Ni-MH) battery; state-of-health (SOH); curve fitting; nonlinear least-squares method; prediction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Yang, H.; Qiu, Y.; Guo, X. Prediction of State-of-Health for Nickel-Metal Hydride Batteries by a Curve Model Based on Charge-Discharge Tests. Energies 2015, 8, 12474-12487.

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