In order to alleviate energy crisis and improve environment pollution, manycountries and major automobile manufacturing companies are making greatefforts to research and develop the electric and hybrid vehicles. As the functionalunit of hybrid vehicle, the battery management system is in charge of collectingpower battery voltage, current and temperature features, evaluating SOC(state ofcharge) value of battery and in real-time communicating with vehicle cotroller.Be able to show the mileage of the car, ensure traffic safety and extend batterylifespan, therefore, the study of battery management system is of greatsignificance.The dissertation firstly introduces the present condition and theirdevelopment trend in the future of hybrid cars and battery management system,and analyzes the working principle and the charge-discharge characteristics oflithium iron phosphate. Based on radial basis function sets up neural networkestimation model under the premise of analyzing the existing battery remainingcapacity estimation method and take test and simulation of this model; Secondlytaking the Cypress CY8C5588programmable system-on-chip as the control coredesigns the battery management system hardware circuit and software program,including current, voltage and temperature detection circuit, battery capacityequalization circuit module and CAN communication circuit. Software programincludes the overall flow chart and external characteristics acquisition part, SOCestimation, equalization, error detection and communication flow chart. Finally,the bench tests of battery management system are carried out, also are theillustration of experiment instruments and implementing method, very importantwork of battery and management system test are done with respect to experimentplatform which have verified their correct function of acquisition, equalizationcontrol, communication and SOC estimation of whe whole system. |