AGING-AWARE MODULE COMPOSITION IN A LITHIUM-ION BATTERY PACK

Abstract

Recently, lithium-ion batteries have become the cornerstone of modern energy storage systems, widely utilized in electric vehicles, portable electronics, and grid storage due to their high energy density and efficiency. However, battery’s operating conditions have an important impact the lifetime and performance of lithium-ion batteries. This contributes to the durability and devaluation of electric vehicles, which will diminish consumer’s confidence. To pursuit of rapid charging often raises concerns about battery longevity and aging effects. Aiming to improve the aging effects in the lithium-ion battery pack configurations, the current research has two goals: first, it seeks to develop computationally effective mathematical models that capture the aging phenomenon in lithium-ion batteries at a wide range of temperatures. Second, it uses the developed models to optimize charging-discharging strategies of the battery pack in the real world scenario. These results reveal significant correlations among charge-discharge rates, ambient temperatures, and battery performance. All these studies capturing aging effects for only single cells but our research fills this gap by optimizing module composition to manage aging effects effectively, leading to enhanced durability and efficiency. The analysis focused on understanding how varying parallel connections influence the degradation mechanisms, such as SEI (Solid Electrolyte Interphase) layer growth and lithium plating, under different operational conditions.