Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Prediction method and system for capacity of power battery in new-energy vehicle

A new energy vehicle and power battery technology, applied in secondary battery testing, forecasting, secondary batteries, etc., can solve problems such as insufficient calculation efficiency, insufficient accuracy, and failure to satisfy drivers, so as to improve accuracy and Efficiency, the effect of improving efficiency

Pending Publication Date: 2021-07-23
ZHEJIANG GEELY HOLDING (GROUP) CO LTD +1
View PDF8 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above method to calculate the capacity of the power battery in real time cannot process a large amount of data at the same time, and the processing speed is not fast enough when the data is large, and the calculation efficiency is insufficient. The algorithm for calculating the power battery capacity of the above method is relatively simple, and the calculation accuracy is not high enough to meet Driver's demand for high-precision vehicle power battery capacity

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Prediction method and system for capacity of power battery in new-energy vehicle
  • Prediction method and system for capacity of power battery in new-energy vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] In order to make the technical problems, technical solutions and advantages solved by the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0032] Such as figure 1 As shown, the new energy vehicle power battery capacity prediction method includes the following steps: calculate the new energy vehicle power battery capacity after collecting the charging condition data of the vehicle, and the formula for calculating the vehicle power battery capacity includes the vehicle power battery capacity = accumulated power during charging / (SOC at the end of charging-SOC at the beginning of charging), where the accumulated power during the charging process is the integral of the current to time during the charging process. Both...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a prediction method and system for the capacity of a power battery in a new-energy vehicle, belonging to the field of power battery capacity of new-energy vehicles. The invention aims to solve the problem of how to improve the prediction efficiency of the capacity of the power battery in the new-energy vehicle. According to the invention, the charging condition data of multiple vehicles are collected through a big data platform; the charging condition data are screened according to a preset condition to respectively obtain a training target data set required by neural network training and a training input data set having high correlation with the power battery capacity; and neural network training is performed on the training target data set and the training input data set to establish a prediction model for the capacity of power batteries in the new-energy vehicles, the current charging condition data of a vehicle having a demand for power battery prediction capacity is acquired and substituted into the power battery capacity prediction model for the new-energy vehicles to calculate the predicted capacity of the desired vehicle power battery. According to the invention, the prediction model for the capacity of power batteries in the new-energy vehicles is established, and the capacity prediction efficiency of power batteries in the vehicles is improved.

Description

technical field [0001] The invention relates to the field of vehicle battery capacity, in particular to a method and system for predicting the capacity of a power battery of a new energy vehicle. Background technique [0002] At present, with the increasing promotion of new energy vehicles in our country, more and more people start to use new energy vehicles as the main means of transportation for travel. New energy vehicles mainly use power batteries as power sources, so the capacity of power batteries will decrease. It directly affects the mileage of the vehicle, thereby affecting the performance of the vehicle. The larger the battery capacity of the vehicle, the longer the mileage of the vehicle and the better the performance of the vehicle. The operating carrier of the existing vehicle battery capacity calculation software is a single-chip microcomputer, and the operating resources of the single-chip And the storage resources are very limited, and it can only be calculat...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/15G06F30/27G06Q10/04G06Q50/06G06N3/04G06N3/08H01M10/44H01M10/42
CPCG06F30/15G06F30/27G06Q10/04G06Q50/06G06N3/04G06N3/08H01M10/44H01M10/42H01M10/4285H01M2010/4278Y02E60/10
Inventor 张俊杰段鹏霍艳红刘刚潘福中陈玉星张鲁宁翟一明岳翔王芳芳邵晶晶陶雷马国庆牛亚琪
Owner ZHEJIANG GEELY HOLDING (GROUP) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products