Monitoring Lithium Iron Phosphate Power Battery And SOC Estimation Used In Pure Electric Buses

The goal of thesis is designing the power battery management system. Monitoring the power module battery and estimating the SOC of the lithium iron phosphate power battery are two major functions to the BMS.The experiments of cell and module battery must accord to the vehicle specification, the result of the experiments determines the structure of electrical power system, the structure of software & hardware and the functions in the BMS are decide by the structure of the electrical power system; Distribute identities of the nodes obeying the SAE J1939 protocol; According to TTCAN agreement design message structure. Design graphical interface software with the aid of Kvaser, which is usded to analyze the reason of producing the wrong frame and lossing frame in the CAN bus; Design fuzzy logic algorithm using voltage and temperature as membership, further using the Mamdani law carry on the defuzziness to get SOC; Testing the functions and anti-jamming of BMS by driving test of the electric vehicle; the accuracy of the SOC estimation is confirmed by two ways.This paper belong to application thesis, whicn has achieved low cost of the hardware and short of the development cycle. It also improved the SOC estimation algorithm. The driving test data proved that the BMS has high reliability and precision, moreover it can be mended simplely. Owing to the above of the superiority of BMS, it can be filled with request of application for the pure electrical buses.