A systematic approach for the parameter identification of electrochemical battery models enabling health-aware fast charging control of battery electric vehicles

In industrial practice, fast charging currents are usually controlled by current stages derived from long-term lab testing at different cell integration levels - requiring intensive experimental effort prior to application. Model-based approaches exploiting knowledge of the electro-thermal behavior of the deployed lithium-ion cells promise a quicker and more targeted development of fast charging strategies with less long-term lab testing effort. However, there is still no consensus in the literature on how to quickly parameterize physics-enhanced electro-thermal battery models without a greater loss of generality. We present a systematic procedure to parameterize an electrochemical reduced-order model capable of controlling the charging current to a specific anode potential reserve at the edge of the lithium deposition process in real time for a given commercial lithium-ion cell. A broad experimental validation at charging rates ranging from 1C to 6C, ambient temperatures between -10 degrees C and 50 degrees C, and at pack level is carried out to confirm the developed method.