The open-circuit voltage (OCV) of batteries is a crucial characteristic parameter that reflects many aspects of a battery's performance, such as capacity, state-of-charge (SOC) and state-of-health. OCV is most widely used to determine the SOC when the battery works in a charge-depleting state. However, the application of the OCV to SOC estimation can be difficult because of the need for a long rest time for full relaxation. In this study, based on the analysis on the curve shape of battery voltage relaxation, a new adaptive model for simulating the voltage relaxation process is developed to predict the final static OCV in a few minutes instead of via the traditional long-term rest method. Avoiding this disadvantage, the SOC can be deduced from the predicted OCV via the corresponding relationship obtained in a short amount of time. A working condition experiment is performed to validate the new methods and the results are very accurate.
Relaxation model of the open-circuit voltage for state-of-charge estimation in lithium-ion batteries
IET Electrical Systems in Transportation ; 3 , 4 ; 112-117
2013-12-01
6 pages
Article (Journal)
Electronic Resource
English
curve shape analysis , SOC estimation , secondary cells , battery voltage relaxation model , charge-depleting state , OCV , voltage relaxation process , state-of-charge estimation , open-circuit voltage , Li , long-term rest method , lithium , adaptive model , state-of-health , lithium-ion batteries
Metadata by IET is licensed under CC BY 3.0
Open circuit voltage characterization of lithium-ion batteries
Tema Archive | 2014
|Open circuit voltage characterization of lithium-ion batteries
Online Contents | 2014
|