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A method for estimating the power of power battery based on self-learning

A power battery and 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 application

Active Publication Date: 2020-03-27
CHENGDU RAJA NEW ENERGY AUTOMOTIVE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • 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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  • A method for estimating the power of power battery based on self-learning
  • A method for estimating the power of power battery based on self-learning
  • A method for estimating the power of power battery based on self-learning

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Embodiment

[0021] This embodiment provides a method for estimating power battery power based on self-learning, and performing 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. Modified power parameter estimation;

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

[0025] D. Real-time power estimation.

[0026] among them:

[0027] The basic power estimation method is as figure 2 As shown, the steps are as follows: through the temperature, SOC, and power relationship tables obtained through the experimental test of the power battery, the maximum charge and discharge power is obtained by looking up the table.

[0028] The method of revising the 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 for estimating the power of a power battery based on self-learning. The method includes: estimating basic power; estimating modified power parameters; estimating self-learning power parameters; and estimating real-time power. The invention can not only avoid inaccurate estimation caused by incomplete power battery laboratory data, but also avoid inconsistent applications caused by different application scenarios.

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 battery mainly uses laboratory test data to apply to the vehicle for estimation. However, this method requires a lot of power battery laboratory data, and is not completely applicable to different working conditions. [0003] The current relatively good design methods will add real-time fault limits and SOH (power battery health) limits on the basis of laboratory data. The fault limits are often ex post limitations, and the SOH limits are limited by the lack of more accurate SOH estimation accuracy. Summary of the invention [0004] The purpose of the present invention is to provide a method for estimating power battery power based on self-learning in view of the problems existing in the prior art, so as to s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/367B60L58/10
CPCB60L58/12B60L58/16G01R31/367G01R31/392Y02T10/70
Inventor 陕亮亮陈柯宇
Owner CHENGDU RAJA NEW ENERGY AUTOMOTIVE TECH CO LTD