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Method and device for estimating state of charge of battery

A battery state of charge, state equation technology, applied in computing, electrical digital data processing, special data processing applications, etc., can solve problems such as inaccurate estimation algorithms

Inactive Publication Date: 2015-04-29
NINGBO INST OF MATERIALS TECH & ENG CHINESE ACADEMY OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present application provides a method and device for estimating the state of charge of a battery, which is used to solve the problem of inaccuracy of the existing SOC estimation algorithm

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  • Method and device for estimating state of charge of battery
  • Method and device for estimating state of charge of battery
  • Method and device for estimating state of charge of battery

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Embodiment Construction

[0088] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0089] For the battery whose state of charge is to be estimated, during the experimental data collection process:

[0090] Conduct a series of discharge experiments on the estimated battery at different rates (0.5C, 1C, 2C, 3C, 4C, 5C), and obtain experimental data such as the actual discharge power value and discharge current of the battery at different rates. Further, the following battery state of charge estimation process is performed.

[0091] see figure 1 , figure 1 It is a...

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Abstract

The invention discloses a method and a device for estimating the state of charge of a battery. The method comprises the following steps: fitting the pre-acquired discharge experiment data under different rates to obtain a function relationship between the discharge rates of the battery and the actual effective capacity values of the battery, establishing the state space model of a battery system by use of the function relationship, and determining the state of charge (SOC) of the battery in a genetic resampling particle filtering manner in the state space model. The state space model comprises the state equation for identifying the state of charge (SOC) of the battery and an observation equation. According to the method, the SOC is estimated in the particle filtering manner, the advantages of particle filtering in solving nonlinear problems are utilized thoroughly, and the problem of particle degeneracy of the particle filtering algorithm is inhibited by virtue of resampling; furthermore, the genetic algorithm is introduced in the resampling process so that the diversity of particles can be remained and the SOC estimation accuracy can be effectively improved.

Description

technical field [0001] The present application relates to the technical field of battery management, and more specifically, to a battery state-of-charge estimation method and device. Background technique [0002] Under the situation of international energy crisis and increasingly serious environmental pollution, battery-powered electric vehicles have gradually become the mainstream of current research and application of new energy vehicles due to their low energy consumption, zero emissions and high cost performance. Lithium-ion batteries have a high-voltage platform, high energy density and long cycle life, and they have gradually developed into the most competitive power batteries. The power battery is the energy source of electric vehicles, which determines the safety performance, operating efficiency and reliability of the vehicle system, so it is necessary to manage and control the battery. [0003] The state of charge (SOC) of the battery is one of the most important ...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 韩琪张一鸣田爽刘兆平
Owner NINGBO INST OF MATERIALS TECH & ENG CHINESE ACADEMY OF SCI
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