Lithium battery SOC estimation method and system based on second-order differential particle filtering

A particle filter algorithm and second-order difference technology, applied in computing, measuring electricity, electric vehicles, etc., can solve the problems of filter algorithm failure, disappearance of diversity, particle degradation, etc., to ensure positive definiteness, improve filter accuracy, and numerical characteristics Good results

Active Publication Date: 2021-04-30
WUHAN UNIV
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Problems solved by technology

Although the PF algorithm has a good estimation effect, the prior probability density is selected as the importance density function to approximate the unknown posterior probability density during Monte Carlo sampling, and there is an error in this approximation.
As the number of iterations increases, the diversity of particles will disappear, and particle degradation will occur, which will lead to the failure of the filtering algorithm

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  • Lithium battery SOC estimation method and system based on second-order differential particle filtering
  • Lithium battery SOC estimation method and system based on second-order differential particle filtering
  • Lithium battery SOC estimation method and system based on second-order differential particle filtering

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[0056] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0057] Such as figure 1 Shown is a schematic flowchart of a lithium battery SOC estimation method based on a second-order differential particle filter provided by an embodiment of the present invention, including the following steps:

[0058] S1: Establish a lithium battery second-order RC battery model;

[0059] Such as figure 2 Shown is a circuit diagram of a second-order RC model of a bat...

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Abstract

The invention discloses a lithium battery SOC estimation method and system based on second-order differential particle filtering, and belongs to the technical field of battery management, and the method comprises the steps: building a lithium battery second-order RC battery model; carrying out model parameterization by adopting a least square algorithm with a forgetting factor; generating an importance density function by a second-order central difference Kalman filtering method SCDKF, improving a particle filtering algorithm to obtain a second-order difference particle filtering algorithm SCDPF, and adopting the SCDPF to estimate the SOC of the lithium battery. The estimation method provided by the invention is more accurate, has higher estimation precision than an unscented particle filter algorithm UPF, an unscented Kalman filter algorithm UKF and an extended Kalman filter algorithm EKF, and can accurately estimate the SOC value of the lithium battery.

Description

technical field [0001] The invention belongs to the technical field of battery management, and relates to a lithium battery SOC estimation method and system based on a second-order differential particle filter. Parameterization, improving the particle filter algorithm to obtain the second-order difference particle filter algorithm to estimate the SOC of the battery. Background technique [0002] Electric vehicles have the advantages of low noise, energy saving and environmental protection, and no harmful gas emissions. The disadvantages are high battery cost, short cruising range, long recharging time, and insufficient popularization of charging piles, which lead to certain difficulties in the actual application and promotion of electric vehicles. It can be said that the development of related technologies of the power battery system restricts the development of electric vehicles, so the related research on the battery management system (Battery Management System, BMS) has b...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/25G06F17/16G06F17/13G01R31/367G01R31/388G06F119/10
CPCG06F30/25G06F17/16G06F17/13G01R31/388G01R31/367G06F2119/10G01R31/3648
Inventor 何怡刚陈媛李忠何鎏璐
Owner WUHAN UNIV
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