MONTE-CARLO SIMULATION FOR SEI-BASED AGEING OF LI-ION BATTERIES

Abstract

Since the development of lithium-ion batteries, there is a rapid rise in production because of their excellent performance, which is due to their high energy density, and lower self- discharge rate as compared to other cell chemistries like NiCd. Lithium-ion batteries were initially installed in electronic devices such as laptops, computer and mobile phones but now the gear has been updated as lithium-ion batteries have entered the automotive industry. With the decrease in the cost of lithium-ion batteries from the past few years, the world is now truly accepting electrics vehicles. The recent interest in electric vehicles powered with lithium ion batteries has promoted in-depth battery ageing characterization and predictions. In this present work, different battery degradation mechanism on anode and cathode are separately discussed. As this topic has become popular in research communities, different methods for battery ageing studies are being discussed, ranging from the black box type approach coming from the electrical engineers to the physics-based methods mainly brought by the chemical engineers. In the first section, basic battery components are discussed along with different battery ageing mechanism. The second section consists of a literature review a different paper on ageing on li-ion battery. The next section discusses the problem statement of the work i.e., Monte Carlo simulation of a mathematical model including the effect of SEI layer formation where the model is simulated with varied parameters whose values are generated randomly from the population. After this, we have discussed the solution methodology in which various steps that are involved in modelling and simulation are discussed. In the next chapter various result are discussed based on sensitivity analysis. Finally, the varied parameters are ranked according to their sensitivity towards battery capacity in the last section.