The data is collected from experiments on domestic lithium iron phosphate batteries with a nominal capacity of 40 AH and a nominal voltage of 3.2 V. The parameters related to the model are identified in combination with the previous sections and the modeling is performed in Matlab/Simulink to compare the output changes between 500 and 1000 circles.
The methods to improve the electrochemical performance of lithium iron phosphate are presented in detail. 1. Introduction Battery technology is a core technology for all future generation clean energy vehicles such as fuel cell vehicles, electric vehicles and plug-in hybrid vehicles.
Finally, Section 6 draws the conclusion. Lithium iron phosphate battery is a lithium iron secondary battery with lithium iron phosphate as the positive electrode material. It is usually called “rocking chair battery” for its reversible lithium insertion and de-insertion properties.
Lithium iron phosphate cathode materials containing different low concentration ion dopants (Mg 2+, Al 3+, Zr 4+, and Nb 5+) are prepared by a solid state reaction method in an inert atmosphere. The effects of the doping ions on the properties of as synthesized cathode materials are investigated.
A battery has a limited service life. Because of the continuous charge and discharge during the battery’s life cycle, the lithium iron loss and active material attenuation in the lithium iron phosphate battery could cause irreversible capacity loss which directly affects the battery’s service life.
To improve the accuracy of the lithium battery model, a capacity estimation algorithm considering the capacity loss during the battery’s life cycle. In addition, this paper solves the SOC estimation issue of the lithium battery caused by the uncertain noise using the extended Kalman filtering (EKF) algorithm.