The invention provides an SOH-SOC combined online estimation method for an energy storage element. The method comprises the steps of: quantifying transient internal resistance, incremental voltage, standard deviation, sample entropy, peak point number and fundamental wave amplitude characteristic parameters, and establishing an SOH evaluation index system; establishing an evaluation set, establishing a relationship between the quantized indexes and the evaluation set through membership functions, and fuzzifying discrete data of the indexes by using the corresponding membership functions in a fuzzy logic mode; defuzzifying the fuzzy set by adopting a weighted average method to obtain a determined SOH evaluation value; and based on the SOH evaluation value, performing calculating to obtain apower battery SOH and SOC joint estimation result according to the determined current maximum available capacity of the power battery. According to the method, the problem of evaluation dispersion caused by inconsistent battery characteristics is effectively solved, so that SOH evaluation errors are reduced, the problems of mutual influence between parameters and change along with different ratesare solved, and the SOC estimation precision is improved.