Improvement of SOC Estimation Method and On-Line Monitoring for Lithium-Ion Batteries Based on Single-Particle Li Diffusion Model
In order to improve the prediction accuracy of State Of Charge(SOC)of power batteries,this paper proposed a method to improve the traditional ampere-hour intergral method to estimate the SOC of the lithium-ion battery based on a single particle Li diffusion model.The solver programs for estimating SOC with traditional and improved ampere-hour integration method and communication interface programs for battery data acquisition were written in software LabVIEW,which achieved the on-line monitoring of the battery SOC under different environmental temperatures and currents by the two methods.The results show that,under the above discharging conditions,the maximum estimation errors of the improved method and the traditional ampere-hour integral method are 1.11％and 1.89％,respectively.When the discharge current changes dramatically,the battery SOC estimated by the improved method fluctuates less than the traditional ampere-hour integral method.
Lithium-ion batteriesState Of Charge(SOC)Diffusion modelAmpere-hour integration method
万方数据
维普
