Abstract: Provided is a system and method for the distributed networked test of electric vehicles based on a cloud platform, comprising a cloud computing platform and a plurality of remote test benches, wherein the remote test benches, being provided at least two, to form a remote distributed networked structure and transmit test data to the cloud computing platform; the cloud computing platform, being in real-time bidirectional data communication with the remote test bench and configured to receive each test data in real-time, perform a data cleaning, a data classing washing, a data fusion and a data mining, extract useful data information from the test data, build corresponding a data model and a mechanism model on the cloud computing platform according to historical data and a mechanism of control object, control for different test benches, and complete a fault diagnosis and an early warning.

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.

Abstract: A modularization system and a method for battery equalizers based on multi-winding transformers. By the inverse-parallel connection of the secondary sides of the odd and the even multi-winding transformers, the balancing in battery modules and between the odd and the even groups is realized based on forward conversion, and the balancing between the odd and the even groups and the automatic demagnetization for the transformers are realized based on flyback conversion. By only using a pair of complementary control signals, the direct, automatic and simultaneous balancing from any battery cell to any battery cell in the battery strings can be realized, thereby greatly improving the balancing efficiency and speed, and effectively improving the consistencies between the battery cells. The system has the advantages of high balancing efficiency, fast balancing speed, small size, low cost, high reliability, easy modularization, simple control, and nonuse of voltage detection circuits and demagnetizing circuits, etc.