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Method of estimating the power of a power battery on the basis of self-learning

A power battery, self-learning technology, applied in battery/fuel cell control devices, measuring electricity, electric vehicles, etc., can solve problems such as inaccurate SOH estimation, and achieve the effect of avoiding inaccurate estimation and inconsistent applications

Active Publication Date: 2017-12-05
CHENGDU RAJA NEW ENERGY AUTOMOTIVE TECH CO LTD
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for estimating power battery power based on self-learning to solve the problem of inaccurate SOH estimation in the prior art.

Method used

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  • Method of estimating the power of a power battery on the basis of self-learning

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Embodiment

[0021] This embodiment provides a method for estimating power battery power based on self-learning, which performs self-learning power estimation and correction design during dynamic use. Such as figure 1 As shown, the method includes the following steps:

[0022] A. Basic power estimation;

[0023] B. Correction of power parameter estimation;

[0024] C. Self-learning power parameter estimation;

[0025] D. Real-time power estimation.

[0026] in:

[0027] The method of basic power estimation is as follows figure 2 As shown, it includes steps: through the temperature, SOC, and power relationship table obtained through the power battery experiment test, look up the table to obtain the maximum charge and discharge power.

[0028] The method of correcting power parameter estimation is as follows: image 3 As shown, it includes the steps of: limiting the maximum and minimum cell voltages of the battery in different charging and discharging stages, limiting the charging po...

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Abstract

The invention provides a method of estimating the power of a power battery on the basis of self-learning. The method includes the following steps: estimating the basic power; estimating correction power parameters; estimating self-learning power parameters; and estimating the real-time power. The method of the invention avoids estimation inaccuracy caused by incomplete data in a power battery laboratory, and also avoids application inconsistency in different application scenes.

Description

technical field [0001] The invention relates to the field of vehicle power battery software function algorithms, in particular to a method for estimating power battery power based on self-learning. Background technique [0002] At present, the power estimation of vehicle power batteries is mainly based on laboratory test data applied to vehicles for estimation. However, this method requires a large amount of power battery laboratory data, and it is not fully applicable to different working conditions. [0003] At present, relatively good design methods will add real-time fault limits and SOH (power battery health state) limits on the basis of laboratory data. Fault limits are often post-event limits, and SOH limits are limited by the lack of more accurate SOH estimation accuracy. Contents of the invention [0004] The object of the present invention is to provide a method for estimating the power of a power battery based on self-learning to solve the problem of inaccurate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36B60L11/18
CPCB60L58/12B60L58/16G01R31/367G01R31/392Y02T10/70
Inventor 陕亮亮陈柯宇
Owner CHENGDU RAJA NEW ENERGY AUTOMOTIVE TECH CO LTD