journal article·2025-03-01Open access

Application of the Jiles–Atherton model to construct the open-circuit voltage hysteresis model and determine the decommissioning of LiFePO4 batteries

Sy Ruen Huang, Sin Yan Chen, Siu Tong Lai

AIP Advances· Volume 15· Issue 3

Abstract

Here, the Jiles–Atherton (J–A) hysteresis model is constructed based on the magnetic properties between the electrolyte and electrodes and is applied to the voltage hysteresis model of LiFePO4 batteries to evaluate the battery degradation degree. By constructing the voltage hysteresis model between the open-circuit voltage (OCV) and state of charge (SOC), the authors estimated the voltage hysteresis parameters of the J–A model using a differential algorithm and accurately described the OCV–SOC relationship of the battery. Finally, the battery degradation is evaluated according to changes in model parameters to determine whether the battery should be decommissioned. LiFePO4 batteries of identical specifications (ANR26650M1-B, 3.3 V, 2.5 Ah) were tested, including 30 brand-new batteries and 16 batteries that had been used for more than two years. The SOC–OCV curve data were measured under the 1C charge-discharge mode with fixed current and voltage, and the changes in voltage hysteresis curve model parameters were estimated as the basis for theoretical validation. Furthermore, the battery degradation degree was determined using the area under the voltage hysteresis curve. Results showed that the constructed model can accurately collect the battery degradation information and determine the battery degradation degree.
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Research context

OpenAlex topics: Advanced Battery Technologies Research · Advancements in Battery Materials · Advanced Battery Materials and Technologies

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References (20)

Show source-provided references
1. Origin of hysteresis between charge and discharge processes in lithium-rich layer-structured cathode material for lithium-ion battery10.1016/j.jpowsour.2015.08.056 ↗
2. Electrodeposition and electrodissolution of copper with a magnetic field: Dynamic and stationary investigations10.1016/0013-4686(91)85128-T ↗
3. Magnetoelectrolysis10.1007/BF00617811 ↗
4. Influence of magnetic forces on electrochemical mass transport10.1016/S1388-2481(01)00136-9 ↗
5. Hysteresis effect of magnetic field on electron transfer processes in electrochemical reaction10.1016/0921-4526(94)91172-X ↗
6. Investigation of the electrodeposition kinetics of Ni–Mo alloys in the presence of magnetic field10.1016/j.jelechem.2014.10.014 ↗
7. Applications of magnetoelectrolysis10.1007/BF00251257 ↗
8. Evaluation of lithium-ion battery equivalent circuit models for state of charge estimation by an experimental approach10.3390/en4040582 ↗
9. Magnetic focusing of redox molecules at ferromagnetic microelectrodes10.1016/S1388-2481(99)00065-X ↗
10. Effect of high magnetic field on copper deposition from an aqueous solution10.1246/bcsj.73.867 ↗
11. Differential evolution based parameter identification of static and dynamic J–A models and its application to inrush current study in power converters10.1109/TMAG.2012.2196984 ↗
12. Double-frequency method using differential evolution for identifying parameters in the dynamic Jiles–Atherton model of Mn–Zn ferrites10.1109/TIM.2012.2216474 ↗
13. A review of lithium deposition in lithium-ion and lithium metal secondary batteries10.1016/j.jpowsour.2013.12.099 ↗
14. Review on modeling of the anode solid electrolyte interphase (SEI) for lithium-ion batteries10.1038/s41524-018-0064-0 ↗
15. Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles10.1016/j.jpowsour.2015.01.129 ↗
16. Critical review of state of health estimation methods of Li-ion batteries for real applications10.1016/j.rser.2015.11.042 ↗
17. Charging algorithms of lithium-ion batteries: An overview
18. Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles10.1016/j.apenergy.2011.08.005 ↗
19. Magnetic field assisted convection in an electrolyte of nonuniform magnetic susceptibility10.1023/A:1018402813235 ↗
20. Direct and indirect electrokinetic effect inducing a forced convection. EKHD and MHD transfer functions