New energy vehicle power battery life prediction method and system
The invention provides a new energy vehicle power battery life prediction method and system, relates to the field of vehicle power battery life prediction, and solves a technical problem of how to improve accuracy of new energy vehicle power battery life prediction. The method comprises steps of obt...
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creator | DUAN PENG ZHANG JUNJIE SHAO JINGJING LIU GANG TAO LEI CHEN YUXING ZHAI YIMING WANG FANGFANG NIU YAQI HUO YANHONG YUE XIANG PAN FUZHONG |
description | The invention provides a new energy vehicle power battery life prediction method and system, relates to the field of vehicle power battery life prediction, and solves a technical problem of how to improve accuracy of new energy vehicle power battery life prediction. The method comprises steps of obtaining related data of power battery life prediction of a vehicle connected with a big data platform, performing screening to obtain data related to the residual charge-discharge cycle number of the power battery, and performing neural network training on the screened data to establish a vehicle power battery life prediction model. establishing a model, acquiring current power battery life prediction related data of a vehicle connected with a big data platform after the model is established, substituting the current power battery life prediction related data into the vehicle power battery life prediction model, and outputting a power battery life prediction result. The method is advantaged in that the results can b |
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The method comprises steps of obtaining related data of power battery life prediction of a vehicle connected with a big data platform, performing screening to obtain data related to the residual charge-discharge cycle number of the power battery, and performing neural network training on the screened data to establish a vehicle power battery life prediction model. establishing a model, acquiring current power battery life prediction related data of a vehicle connected with a big data platform after the model is established, substituting the current power battery life prediction related data into the vehicle power battery life prediction model, and outputting a power battery life prediction result. 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The method comprises steps of obtaining related data of power battery life prediction of a vehicle connected with a big data platform, performing screening to obtain data related to the residual charge-discharge cycle number of the power battery, and performing neural network training on the screened data to establish a vehicle power battery life prediction model. establishing a model, acquiring current power battery life prediction related data of a vehicle connected with a big data platform after the model is established, substituting the current power battery life prediction related data into the vehicle power battery life prediction model, and outputting a power battery life prediction result. The method is advantaged in that the results can b</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING ELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES PERFORMING OPERATIONS PHYSICS TESTING TRANSPORTING VEHICLES IN GENERAL |
title | New energy vehicle power battery life prediction method and system |
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