Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A power calculation method based on adaptive Gaussian convolution integral method

A Gaussian convolution and power calculation technology, applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve problems such as estimating battery capacity, achieve the effect of simple implementation method, prevent confusion, and reduce the possibility of errors

Active Publication Date: 2021-09-28
CHINA AUTOMOTIVE ENG RES INST
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The invention provides a power calculation method based on an adaptive Gaussian convolution integral method, which solves the technical problem that it is difficult to accurately estimate the battery capacity through online data in the prior art

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
  • A power calculation method based on adaptive Gaussian convolution integral method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] An embodiment of a power calculation method based on the adaptive Gaussian convolution integral method of the present invention is basically as attached figure 1 shown, including steps:

[0037] S1. Extract all the charging process data of the vehicle, including SOC;

[0038] S2. Perform Gaussian convolution calculation on the SOC, and obtain a capacity estimation value;

[0039] S3. Calculate the mileage value corresponding to the estimated capacity;

[0040] S4. Optimizing the processing capacity estimate and mileage;

[0041] S5. Output capacity calculation chart.

[0042] In the real car, the on-board hardware can only collect data such as the current, voltage, and temperature of the battery. At the same time, there is almost no full charge and discharge in the real car, and the current maximum available capacity of the battery cannot be directly measured. At the same time, the SOC of the battery is calculated by the BMS rather than directly measured, and there ...

Embodiment 2

[0054] The only difference from Embodiment 1 is that the surface temperature of the battery cell is also used to assist in judging whether the battery cell is abnormal. The data of each battery cell uploaded by the new energy vehicle to the enterprise platform includes temperature data. These temperature data are collected by a temperature sensor. The probe or probe of the temperature sensor is in contact with the battery cell to measure the temperature of the battery cell in real time. surface temperature data.

[0055]In this embodiment, each battery cell has a preset number, and these numbers correspond to the location information of the battery cell, and the location information is specifically the horizontal distance and the vertical distance; where the horizontal distance refers to the distance between the battery cell and the The straight-line distance of the cabin, that is, the distance between the geometric center of the cockpit and the geometric center of the battery...

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 present invention relates to the field of battery technology, in particular to a power calculation method based on an adaptive Gaussian convolution integration method, comprising steps: S1, extracting all charging process data of the vehicle, including SOC; S2, performing Gaussian convolution calculation on the SOC , and obtain the estimated capacity; S3, calculate the mileage corresponding to the estimated capacity; S4, optimize the estimated capacity and the mileage; S5, output the capacity calculation diagram. The invention extracts the current data and SOC of each continuous charging process, uses the adaptive Gaussian convolution integration method to calculate the SOC and obtains the estimated capacity, then calculates the corresponding mileage value, and finally outputs the capacity calculation diagram; The relatively accurate calculation of capacity by online data effectively solves the technical problem that it is difficult to accurately estimate battery capacity through online data in the prior art.

Description

technical field [0001] The invention relates to the field of battery technology, in particular to a power calculation method based on an adaptive Gaussian convolution integration method. Background technique [0002] At present, new energy vehicles are in the stage of rapid development. Lithium-ion batteries are the core components, and their lifespan is attracting more and more attention. Relevant information shows that for power batteries used in new energy vehicles, after the battery capacity drops to 80% of the rated capacity, it can no longer be used in electric vehicles. It can be seen that in order to be able to stop using electricity in time when the battery capacity drops to 80%, it is necessary to predict the service life of the lithium-ion battery. [0003] In this regard, the document CN104101837A discloses an online calculation method for the current total capacity of the battery, which includes the following steps: detecting whether the battery is fully charge...

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 Patents(China)
IPC IPC(8): G01R31/367G01R31/387
CPCG01R31/3648G01R31/367G01R31/387
Inventor 严中红陈悟果杨若浩马敬轩张玉兰
Owner CHINA AUTOMOTIVE ENG RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com