| With the social development, increasingly Prominent energy issues and Environmental Protection issues, Pure electric vehicles with zero emissions, low noise Advantages are getting growing attention by the world, known as the green car. Battery Management system(BMS), as one of the key technologies for developing electric vehicles, is the key of electric vehicles industrialization .The Research &Development of BMS is a part of project-"The Research &Development of Electric Vehicle Based on SRM".Battery management system direct detects and manages the process of electric vehicles' battery operation, including charge and discharge process, the battery temperature, consumption estimates, the balance between monomer batteries, and battery failure diagnosis.This thesis is devoted to the study of pure electric vehicles' storage battery management system, second-order model of lead-acid battery and SOC estimation based on Kalman are studied. the basic working principle of Lead-acid batteries and the main factor impact on SOC (state of charge) of battery are analysised.This thesis introduces the BMS hardware platform based on the DSP2407, completes DSP minimum system, battery data acquisition circuit, signal processing circuit, CAN bus-related hardware and so on, including circuit design, debug, and perfect, finishes all software design of system, including the main program , basic information of battery detection routines, the battery SOC estimates based on Kalman program, battery state detection subroutine design, CAN transceiver subroutine design, and EEPROM reading and writing routinesFinally, structure the experimental platform on the electric vehicles, connecting the lead-acid battery with BMS experiment devices, debug the whole system including the hardware and software. The result proves that this BMS designed in this thesis is reliable, economic, and has strong anti-interference capability. The system could implement signals sample, SOC computation and display.
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