The invention relates to a difference value differential based 
lithium iron phosphate power battery power loading capacity 
dynamic prediction method which mainly comprises the following steps: (1), performing measurement and acquisition of data including 
battery voltage difference value, current difference value, and 
temperature difference value, and establishing 
data dependency models in different active sections; (2), constructing data sheets, establishing a dynamic time-variable three quantities based algebraic interpolation function, analyzing an interpolation remainder, and analyzing the differential features of the interpolation remainder; and (3), analyzing the dependency, and revising each battery power loading capacity dynamic model factor in a 
battery pack. According to the difference value differential based 
lithium iron phosphate power battery power loading capacity 
dynamic prediction method, not only are the influences over the battery power loading capacity by the 
voltage, the current and the stability of a single 
power battery cell considered, but also influences over the power loading capacity when the batteries dynamically work by the 
voltage difference value, the current difference value and the 
temperature difference value of the power battery within a unit time and the autocorrelation and the cross correlation of the difference value variable quantity among the single battery cells of the 
battery pack are considered, and the discrete value 
differential analysis method is applied to accurately predict the power loading capacity when the single battery cells of the power 
battery pack work dynamically.