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Power-cell SOC online closed-loop estimation method based on N-2RC model

A closed-loop estimation and power battery technology, which is applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of model influence and low estimation accuracy

Active Publication Date: 2016-05-04
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the power battery SOC online estimation is affected by the model and the estimation accuracy is low, and provides a power battery SOC online closed-loop estimation method based on the N-2RC model

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  • Power-cell SOC online closed-loop estimation method based on N-2RC model

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Embodiment Construction

[0068] The present invention provides a power battery SOC online closed-loop estimation method based on the N-2RC model. In order to make the object, technical solution and effect of the present invention clearer and clearer, the present invention is further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific implementations described here are only used to explain the present invention, not to limit the present invention.

[0069] The embodiment uses an urban road traffic condition (UDDS) as the load of the lithium-ion battery. The current of this condition changes greatly, which increases the difficulty of estimating the battery SOC online, but it can well verify the applicability of the model and the estimation algorithm. estimated accuracy. image 3 , Figure 4 is the collected battery terminal voltage and output current. Combine below figure 2 The implementation steps of this embodiment will be describ...

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Abstract

The invention discloses a power-cell SOC online closed-loop estimation method based on an N-2RC model. In the invention, an electrochemical model and an equivalent circuit model are combined and a novel power cell model is provided. The N-2RC model uses a Nernst electrochemical model to replace an electromotive force portion of a second-order RC equivalent circuit model so that one to one correspondence of a cell electromotive force and SOC can be accurately reflected. Based on the model, a recursive least-square method based on a forgetting factor is used to identify a model parameter, and then an expansion Kalman filtering algorithm is used to realize on-line closed loop estimation of the cell SOC. The electrochemical model can well describe a cell characteristic on an electrochemical aspect, but the structure is complex and the model is not suitable for individually individual usage. And the equivalent circuit model belongs to an external characteristic model and can well express a volt-ampere characteristic relationship of the cell, but can not reflect an internal characteristic of the cell. By using the method in the invention, the above problems are overcome.

Description

technical field [0001] The invention belongs to the field of state of charge prediction of lithium-ion batteries, and relates to an online closed-loop estimation method for power battery SOC based on an N-2RC model. Background technique [0002] In the power battery management system, the prediction of the battery state of charge SOC (StateOfCharge) is of great significance. The accuracy of the prediction directly affects the control strategy of the battery management system, thereby affecting the performance of the battery and the length of battery life. [0003] At the same time, an accurate battery model is of great significance to the SOC evaluation algorithm. Due to the highly nonlinear characteristics of the battery, the consistency between the battery model and the power battery is very good, so that more accurate prediction results can be obtained. [0004] At present, there are three types of commonly used power battery models: electrochemical model, artificial neur...

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Application Information

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IPC IPC(8): G01R31/36
CPCG01R31/367G01R31/3828
Inventor 赵万忠孔祥创王春燕杨遵四
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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