Electric vehicle battery pack state-of-health prediction method and system based on big data

A technology for battery health status and health status, which is applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc.

Pending Publication Date: 2020-07-07
SHANGHAI MAKESENS ENERGY STORAGE TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method and system for predicting the state of health of an electric vehicle battery pack based on big data, so as to solve the problem that the existing method for predicting the state of health of the battery cannot be applied to fast and accurate online prediction of the state of health of the battery

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  • Electric vehicle battery pack state-of-health prediction method and system based on big data
  • Electric vehicle battery pack state-of-health prediction method and system based on big data
  • Electric vehicle battery pack state-of-health prediction method and system based on big data

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Embodiment 1

[0074] This embodiment provides a method for predicting the state of health of an electric vehicle battery pack based on big data, such as figure 1 As shown, the method for predicting the state of health of an electric vehicle battery pack based on big data includes: obtaining data of the battery pack and preprocessing the data to obtain preprocessed data, the preprocessing including screening and supplementation; extracting the Preprocess the characteristic parameters affecting the health status of the battery pack in the data, compare and analyze the correlation between the characteristic parameters through the characteristic and target relationship function, obtain the correlation threshold between the characteristic parameters, and convert the correlation Delete the characteristic parameters whose threshold value is higher than the first threshold value to obtain simplified model data; divide the data type of the battery pack, expand the data with less order of magnitude in...

Embodiment 2

[0096] The present invention also provides a big data-based electric vehicle battery pack health state prediction system, such as figure 1 As shown, the electric vehicle battery pack health state prediction system based on big data includes a preprocessing module, a simplified model data module, a supplementary feature data module and a battery health state prediction module, wherein: the preprocessing module obtains the data of the battery pack And preprocessing the data to obtain preprocessing data, the preprocessing includes screening and supplementation; the simplified model data module extracts the characteristic parameters affecting the health status of the battery pack in the preprocessing data, and through the relationship between the characteristics and the target function, which compares and analyzes the correlation between the characteristic parameters, obtains the correlation threshold between the characteristic parameters, deletes the characteristic parameters whos...

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Abstract

The invention provides an electric vehicle battery pack state-of-health prediction method and system based on big data. The method comprises the following steps: obtaining the data of a battery pack,and preprocessing the data to obtain preprocessed data; extracting characteristic parameters influencing the state of health of the battery pack in the preprocessed data, performing comparative analysis on the correlation between the characteristic parameters through a characteristic and target relation function, and deleting the characteristic parameters of which the correlation threshold is higher than a first threshold to obtain simplified model data; dividing data types of the data of the battery pack, expanding data with few orders of magnitudes in quick charging and slow charging, and marking battery quick charging time and battery slow charging time as supplementary characteristic data; establishing a battery state-of-health prediction model based on the preprocessed data, and/or the simplified model data, and/or the supplementary characteristic data, and adjusting parameters of the battery state-of-health prediction model; and calling the battery state-of-health prediction model through a flash framework, and calculating a prediction result of the state of health of the battery pack on line through a cloud network.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, in particular to a method and system for predicting the health status of electric vehicle battery packs based on big data. Background technique [0002] Because of its high energy ratio, long life and excellent performance of no memory, lithium batteries make it possible to use batteries as energy supply units. First, they are widely used in the field of mobile phones, replacing traditional lead-acid batteries and becoming mainstream products in the battery industry. Usually, the battery state of health (State of Health, SOH) is used to describe the remaining life of the battery. SOH represents the ratio of the battery capacity that the lithium battery can currently carry to the original factory-marked capacity of the battery, and its value indirectly reflects the economic performance of the electric vehicle or the battery pack. According to relevant national industry regulations, when...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367G01R31/392
CPCG01R31/367G01R31/392
Inventor 黄碧雄刘子厚秦欢马非凡严晓王影
Owner SHANGHAI MAKESENS ENERGY STORAGE TECH CO LTD
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