Eyring acceleration model for predicting calendar ageing of lithium-ion batteries. (October 2017)

• Record Type: Journal Article
• Authors: Redondo-Iglesias, Eduardo; Venet, Pascal; Pelissier, Serge
• Is Part Of: Journal of energy storage. Volume 13(2017)
• Page Start: 176
• Page End: 183
• Publication Date: 2017-10
• Subjects: Lithium-ion battery -- Reliability -- Accelerated ageing -- Modelling -- Eyring Law -- Lambert W function; Energy storage -- Periodicals; Energy storage -- Research -- Periodicals; 621.3126
• DOI: 10.1016/j.est.2017.06.009
• Languages: English
• ISSNs: 2352-152X

Abstract

Highlights: Calendar ageing of lithium-ion batteries is analysed. Eyring formulation facilitates the identification phase. SoC drift is taken into account by the use of Lambert W function. This approach improves accuracy and allows a reduction in the number of parameters. Abstract: Modelling of lithium-ion batteries calendar ageing is often based on a semi-empirical approach by using, for example the Arrhenius acceleration model. Our approach is based on Eyring acceleration model, which is not widely used for electrochemical energy storage components. Parameter identification is typically performed without taking into account the state-of-charge ( SoC ) drifting. However, even in rest condition, battery cells' SoC drifts because of capacity losses (self-discharge and capacity fade). In this work we have taken into account the SoC drift during calendar ageing tests. For this, we considered available capacity (Ah) instead of SoC (%) as ageing factor. Then, the analytical solution of the problem leads to the use of the Lambert W function in the model formulation. Simulation results show that Lambert-Eyring model is more accurate and allows a reduction in the number of parameters to be identified.