Abstract: A fractional-order KiBaM battery model considering nonlinear capacity characteristics and a parameter identification method includes a temporary capacity portion and an available capacity portion for describing nonlinear capacity characteristics of a battery, wherein the temporary capacity portion represents the power that can be directly obtained during the discharge, indicating the state of charge (SOC) of the battery; the available capacity portion represents the power that cannot be directly obtained, and such two portions are connected; when the battery is discharged, the load current i flows out from the temporary capacity portion, and a power passing rate coefficient of such capacity portions is obtained; and the nonlinear capacity effect and recovery effect of the battery are denoted by the height ratio of the temporary capacity and available capacity portions in view of the magnitude of the fractional order of battery capacity characteristics.

Abstract: A new method for iteratively identifying parameters of an equivalent circuit model of battery, including the steps of: Firstly, dividing the model parameters into two parts, and the parameters in the first part are set to initial values, and the ones in the second part are identified with a least square method. Secondly, determining whether the obtained values of the second part meet the requirements of the equivalent circuit model of battery. If the requirements are not met, the parameters that do not meet the requirements in the second part are set to zeros. Then, the parameters in the first part are identified with the least square method. Otherwise, the ones in the first part are directly identified with the same method. Terminating the iteration process until all the parameters meet the requirements.

Abstract: A new method for iteratively identifying parameters of an equivalent circuit model of battery, including the steps of: Firstly, dividing the model parameters into two parts, and the parameters in the first part are set to initial values, and the ones in the second part are identified with a least square method. Secondly, determining whether the obtained values of the second part meet the requirements of the equivalent circuit model of battery. If the requirements are not met, the parameters that do not meet the requirements in the second part are set to zeros. Then, the parameters in the first part are identified with the least square method. Otherwise, the ones in the first part are directly identified with the same method. Terminating the iteration process until all the parameters meet the requirements.

Abstract: A fractional-order KiBaM battery model considering nonlinear capacity characteristics and a parameter identification method includes a temporary capacity portion and an available capacity portion for describing nonlinear capacity characteristics of a battery, wherein the temporary capacity portion represents the power that can be directly obtained during the discharge, indicating the state of charge (SOC) of the battery; the available capacity portion represents the power that cannot be directly obtained, and such two portions are connected; when the battery is discharged, the load current i flows out from the temporary capacity portion, and a power passing rate coefficient of such capacity portions is obtained; and the nonlinear capacity effect and recovery effect of the battery are denoted by the height ratio of the temporary capacity and available capacity portions in view of the magnitude of the fractional order of battery capacity characteristics.