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Lithium iron phosphate battery modeling and SOC estimating method in account of capacity loss

A lithium iron phosphate battery, battery technology, applied in the direction of measuring electricity, measuring electrical variables, computing, etc., can solve the problem of high cost of battery energy storage

Active Publication Date: 2017-06-30
NORTHEAST DIANLI UNIVERSITY +1
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Problems solved by technology

Moreover, the price of battery energy storage is generally relatively expensive at present. How to establish an effective battery model for analyzing the technical-economic characteristics of its energy storage system in new energy applications is a very critical issue.

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  • Lithium iron phosphate battery modeling and SOC estimating method in account of capacity loss
  • Lithium iron phosphate battery modeling and SOC estimating method in account of capacity loss
  • Lithium iron phosphate battery modeling and SOC estimating method in account of capacity loss

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Embodiment Construction

[0068] The following uses the drawings and embodiments to further illustrate the method for modeling and SOC estimation of the lithium iron phosphate battery of the present invention that takes into account the capacity loss.

[0069] The method for modeling and SOC state estimation of a lithium iron phosphate battery that takes into account battery capacity loss of the present invention includes the following contents:

[0070] 1) Mathematical model of the equivalent circuit of lithium iron phosphate battery

[0071] Since the energy storage of lithium iron phosphate batteries is an electrochemical reaction process, it is difficult to use conventional physical models to describe them in detail. The modeling of energy storage systems should be based on its application scenarios. Simple models will not reflect the characteristics of lithium iron phosphate batteries. An overly complex model may greatly increase the complexity of the solution and application of the control strategy. Now...

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Abstract

The invention provides a lithium iron phosphate battery modeling and SOC estimating method in account of capacity loss. The method is provided based on the facts that the working state of the existing lithium iron phosphate battery is influenced by many factors of temperature, current, cycle times, depth of discharge and the like, and thus the modeling process is very complicated. According to the method, based on the Thevenin equivalent circuit, the modeling work is conducted on the lithium iron phosphate battery; the model open-circuit voltage, resistance and capacitance value identification method are given; and the capacity loss of the lithium iron phosphate battery in the life cycle is taken into account; a capacity estimation mathematical model is established; the output precision of a lithium iron phosphate battery model is improved; and the lithium iron phosphate battery SOC estimating problem brought by uncertainty noise is solved with extended Kalman filtering (EKF) algorithm. The method has the advantages of being simple, scientific and reasonable, high in application value, good in effect and the like.

Description

Technical field [0001] The invention relates to the technical field of power supply applications, and is a method for modeling and SOC estimation of a lithium iron phosphate battery that takes into account capacity loss. Background technique [0002] Electrochemical energy storage represented by lithium batteries has been widely researched and applied in the field of new energy power generation due to its high controllability and high degree of modularity, high energy density and high conversion efficiency. At present, my country has established a number of lithium battery energy storage demonstration projects, such as Zhangbei County, Zhangjiakou, Hebei (equipped with 14MW / 63WMh lithium phosphate battery devices, 2MW / 8MWh liquid flow energy storage devices), Shenzhen Baoqing Energy Storage Power Station (installed 4MW / 16MW lithium iron phosphate battery energy storage system) etc. According to relevant domestic policies and documents, during the "Thirteenth Five-Year Plan" perio...

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Application Information

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IPC IPC(8): G06F17/50G01R31/36
CPCG01R31/382G06F30/20
Inventor 李军徽高凤杰严干贵穆钢
Owner NORTHEAST DIANLI UNIVERSITY
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