Analysis of Performance Degradation in Lithium-Ion Batteries Based on a Lumped Particle Diffusion Model

Abstract

The analysis of performance degradation in lithium-ion batteries plays a crucial role in achieving accurate and efficient fault diagnosis as well as safety management. This paper proposes a method for studying the degradation pattern of lithium-ion batteries and establishing the structure–activity relationship between internal and external parameters by employing a lumped particle diffusion model. To simulate real-world operating conditions, a cycle life test was conducted with the constant current–constant voltage (CC–CV) charge mode and the discharge mode under New European Driving Cycle (NEDC) working condition. The test aimed to analyze the variations in the external macroscopic characteristic parameters of the battery. Building upon this analysis, a lumped particle diffusion model was constructed, and the model parameters were identified using the Levenberg–Marquardt (L–M) algorithm. Subsequently, the ohmic, activation, and concentration losses of the battery under different aging conditions were determined, revealing the internal state evolution during the degradation process of lithium-ion batteries. The findings indicate that the lumped particle diffusion model provides a comprehensive explanation of the internal mechanisms contributing to the performance degradation of lithium-ion batteries. Moreover, the proposed method offers a novel perspective for the real-time quantitative analysis of lithium-ion battery performance degradation.

A Balancing Act: Experimental Insights into the Volume Fraction of Conductive Additive in Lithium-Ion Battery Electrodes

“…S12-S13) of the charge/discharge curves, which is largely associated with the ohmic resistance, appears to be the most significant source of overpotential growth. 52,53 The volumetric loading of conductive additive most directly plays a role in lowering ohmic and contact resistances, since it provides physical electronically conductive pathways throughout the electrode, lowering the electron resistance throughout the film. To observe the sources of internal cell resistance, electrochemical impedance spectroscopy (EIS) was conducted on cells discharged to a potential of 1.55 V Vs Li/Li + after formation cycling, with resulting Nyquist plots shown in Fig.…”

Electrochemical and Thermal Modeling for the Fast-Charge of Lithium-Ion Batteries with Cocurrent and Countercurrent Tab Connections and the Assessment of Li Plating

“…2 and 3, Early work regarding the modeling of cccv charging can be found in Ning and Popov; 7 they analyzed a charge-discharge capacity fade model during cc-cv charging, as did Mohtat et al 8 who included the impact of temperature, mechanical stress, and Li plating with a semi-analytic treatment. Li et al 9 provide analytic expressions for the simulation of cc-cv charging, as do Parhizi et al 10 Eddahech et al 11 Baghdadi et al 12 and Fang et al 13 employed cc-cv charging and analyses to assess the battery state of health. Bose et al 14 propose a method to fast charge and reduce battery degradation by controlling the time at which operation is switched from cc to cv.…”