Real-World Approach for Evaluating Capacity Fading in Lithium-ion Batteries Using Novel Cyclic Testing Methods

Abstract

Battery lifespan estimation is an essential aspect of battery management systems. It allows end users and original equipment manufacturers to plan for future battery replacements. However, accurately estimating the capacity of a battery is complex due to the different capacity fading phenomenon which are related to different factors such as temperature, charge-discharge rate, rest period duration, etc. A realistic cyclic testing method is needed to evaluate the life span, as it lets the users assess various factors’ impacting battery performance over time. Different cyclic testing methods are proposed in the literature; however, the most efficient approach will depend on the specific application and the testing objectives. A new approach, closer to real-world driving scenarios, is proposed in this work for battery capacity fading evaluation. A deeper comprehension of the results helps develop an empirical relation appropriate to evaluate capacity fading at given testing conditions easily.