Analysis of the performance decline discipline of lithium-ion power battery
Prediction of state of health (SOH) of lithium-ion batteries can extend the service life of the batteries and improve the safe performance of the batteries, which is of great significance to research and development of lithium-ion batteries. Aiming at the problems that the discharge current of elect...
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Published in | Journal of loss prevention in the process industries Vol. 74; p. 104644 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.01.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Prediction of state of health (SOH) of lithium-ion batteries can extend the service life of the batteries and improve the safe performance of the batteries, which is of great significance to research and development of lithium-ion batteries. Aiming at the problems that the discharge current of electric vehicles constantly changes under actual operating conditions and the number of full charge-discharge cycles is small, a battery health prediction model based on capacity decay rate is proposed. In this paper, the ternary cathode material power lithium-ion battery with a rated capacity of 5Ah is taken as the research subject, and the discharge experiment is conducted under the conditions of ambient temperature of 0 °C, 10 °C, 20 °C, 30 °C, and 40 °C. By fitting the curve of the battery capacity with the number of cycles, the decay rate of the battery capacity with the number of cycles is obtained.
•The internal resistance of the battery is most sensitive to the ambient temperature.•The sensitivity of the internal resistance of the battery to the discharge rate is lower than the ambient temperature, but it is also not negligible.•The influence of the depth of discharge on the internal resistance of the battery is relatively small. |
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ISSN: | 0950-4230 |
DOI: | 10.1016/j.jlp.2021.104644 |