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Method and system for constructing equivalent circuit model of lithium ion battery, and equipment

An equivalent circuit model, lithium-ion battery technology, applied in CAD circuit design, design optimization/simulation, special data processing applications, etc., can solve problems such as difficult to build accurate models, battery model accuracy is not high enough, and achieve high accuracy Effect

Pending Publication Date: 2021-01-05
CHANGAN UNIV
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Problems solved by technology

At present, the accuracy of commonly used battery models is not high enough, and it is difficult to build an accurate model due to nonlinear and time-varying characteristics

Method used

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  • Method and system for constructing equivalent circuit model of lithium ion battery, and equipment
  • Method and system for constructing equivalent circuit model of lithium ion battery, and equipment
  • Method and system for constructing equivalent circuit model of lithium ion battery, and equipment

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Embodiment Construction

[0031] The present invention is described in further detail below in conjunction with accompanying drawing:

[0032] Such as figure 1 As shown, the present invention provides a genetic programming algorithm based on Hoeffding inequality, which can automatically construct an equivalent circuit model of a single battery whose structure and parameters can be changed. Including the following steps:

[0033] (1) Set control parameters, including population size M, crossover rate Pc, mutation rate Pm, selection rate Pp, maximum evolution algebra Gen and other parameter values. Determine the fitness function, which guides the direction of evolution. Prepare a large amount of experimental data and divide it into two parts, one part is used as the training set for machine learning, and the other part is used for model testing.

[0034] 1a) Divide the experimental database into two equal parts, one of which is used for machine learning training model, and the other is used for testin...

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Abstract

The invention discloses a method and system for constructing an equivalent circuit model of a lithium ion battery, and equipment. The method comprises the following steps: setting parameter values ofpopulation size, selection rate, crossover rate, mutation rate and maximum evolution algebra; using a genetic programming algorithm to randomly generate initial populations with the same scale and quantity as the populations, with each initial population comprising a plurality of expression trees, each expression tree comprising a random equivalent circuit; according to the selection rate, the crossover rate and the mutation rate, performing selection, crossover and mutation operations on all the initial populations; calculating the fitness of each generated expression tree, arranging the fitness of each expression tree from large to small, taking the expression tree with half of the fitness, performing selection, intersection and mutation operation on the reserved expression trees, and calculating the fitness of the reserved expression trees; and until the reserved fitness of the expression tree meets any one of the maximum iteration number and the fitness function, decoding the expression tree with the maximum fitness to obtain the topological structure of the equivalent circuit model.

Description

technical field [0001] The invention belongs to the field of power batteries, and relates to a method, system and equipment for constructing an equivalent circuit model of a lithium-ion battery. Background technique [0002] At present, the power battery model is mainly an equivalent circuit model. The electrochemical model is based on the principle of electrochemical reactions inside the battery, and a large number of thermodynamic and kinetic equations are applied, which requires a large amount of calculation and has high requirements for the on-board battery management system, so it is generally not used. The neural network model uses the very popular machine learning to build a model, which can well reflect the nonlinear characteristics of the power battery, but there is a time-consuming problem. The equivalent circuit model can well describe the external characteristics of the battery, has good real-time and robustness, and is suitable for various working states of the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06F30/30
CPCG06F30/27G06F30/30
Inventor 王建锋郑涛杨庆功赵慧婷董学恒张照震乔盼刘文豪
Owner CHANGAN UNIV
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