Linear Parameter Varying Model Identification of a Lithium Ferro-Phosphate Battery Cell

Most electric vehicles are powered by lithium-ion batteries due to their characteristics such as high power and energy density, life cycle and reliability. However, these characteristics imply complex mechanisms that require robust control to ensure safe operation. Thus, it is imperative to construct models that accurately represent the complex dynamics of these batteries. Linear parameter varying models are advantageous as they preserve a linear interrelation among system states while accommodating their temporal variability. This paper presents a novel linear parameter varying model of lithiumion batteries that uses the state of charge as a scheduling parameter. Experimental results are obtained using a downscaled prototype composed of a charger and a battery cell. These results are utilized to validate the effectiveness of the proposed linear parameter varying model.