Recent progress in state of health estimation for lithium-ion batteries: From laboratory to practical application

Abstract

The rapid development of electric vehicles and smart grids has posed severe challenges to the safety management of lithium-ion batteries. As an important indicator of battery aging and safety, the estimation of state of health (SOH) is crucial. Although SOH estimation methods have been fully developed, there is still a large gap between laboratory verification and practical application. This paper presents a systematic review of SOH estimation methods for lithium-ion batteries in recent years. Starting from the perspective of health indicators (HI), it attempts to find a reliable transition scheme between laboratory and practical applications. The current methods are summarized as geometric, statistical, parametric HIs based and methods without HI. Through literature analysis, it is found that statistical HIs show great potential in practical applications. In addition, the key technologies to bridge the gap between the two scenarios are also summarized, as well as the challenges and prospects of future SOH estimation, in the hope of providing unique insights for the realization of advanced SOH estimation methods in practical applications.