Abstract
AbstractThis paper presents a review on the Physics-Based Models (PBMs) of degradation mechanisms in lithium ion batteries for attaining reliable and safe operations and also to prolong the lifetime of batteries. The enhanced self-correcting models of lithium ion batteries do not show the promise for large gains in the calculations of limits of power, do not explain the mechanisms of degradation, and do not have controllable current, State of Charge (SOC) and temperature and therefore the equivalent model does not predict the aging of battery cells accurately. Hence to overcome the limitations of equivalent circuit models, the development of PBMs of degradation mechanisms and the measures of electrochemical reactions occurring within lithium ion cells are crucial for the precise prediction of State of Health (SOH) of cells and to enhance the operation of Battery Management System (BMS) in Electric Vehicle (EV) applications. Furthermore, advanced control actions based on dynamic electrochemical measures are possible with PBMs. Several models describing the dynamics of mechanisms happening within the lithium ion cells are presented and the reliable information and the limitations of those models are described in this review paper..KeywordsPhysics-based modelsState of chargeState of healthBattery management systemElectric vehicle
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