An improved PNGV modeling and SOC estimation for lithium iron phosphate batteries

2017 3rd International Conference on Energy, Environment and Materials Science

能源学;生态环境科学;材料科学

Li, Peng^1

Tongji Zhejiang College, Zhejiang

314006, China^1

关键词: Accurate modeling;    Battery modeling;    Charge-discharge characteristics;    Filter algorithm;    Least square fitting method;    Lithium iron phosphates;    Pulse charge;    SOC estimations;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/94/1/012012/pdf
DOI  :  10.1088/1755-1315/94/1/012012

来源: IOP

【 摘 要 】

Because lithium iron phosphate battery has many advantages, it has been used more and more widely in the field of electric vehicle. The lithium iron phosphate battery, presents the improved PNGV model, and the batteries charge discharge characteristics and pulse charge discharge experiments, identification of parameters of the battery model by interpolation and least square fitting method, to achieve a more accurate modeling of lithium iron phosphate battery, and the extended Calman filter algorithm (EKF) is completed state nuclear power battery (SOC) estimate.