Prediction model fusion-based battery life prediction method and storage medium

A battery life and prediction method technology, applied in the direction of prediction, calculation model, biological model, etc., can solve the problems of unable to update the model online, the uncertainty of the neural network prediction model, the difficulty of establishing an accurate degradation model, etc., and achieve a fusion model The effect of simple structure, timely update, and timely model parameters

Pending Publication Date: 2020-09-18
CENT SOUTH UNIV
View PDF8 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of this, the present invention provides a battery life prediction method and storage medium based on predictive model fusion to solve the problem of establishing an accurate battery life due to excessive reliance on failure mechanisms when predicting the battery life based on a single pa

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 model fusion-based battery life prediction method and storage medium
  • Prediction model fusion-based battery life prediction method and storage medium
  • Prediction model fusion-based battery life prediction method and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments produced by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention. In addition, it should be noted that "the..." in the content of the specific embodiment only refers to the technical attributes or characteristics of the present invention.

[0045] In order to solve the above problems in the prior art, the present invention provides a battery life prediction method based on prediction model fusion, which mainly fuses the two prediction models of the particle filter (PF) model and the long short memory network (LSTM...

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 battery life prediction method based on prediction model fusion and a storage medium. According to the battery life prediction method, a long and short memory network model isnested in a particle filtering model; fusion model with simple structure, training a long and short memory network model by using existing historical data to obtain a degradation trend equation, anddetermining a state transition equation of a particle filtering model; the problem that a particle filtering model excessively depends on an empirical model is solved; the particle filtering model canobtain the uncertain expression of the residual life by using the weighted sum of the particles to approach the predicted value of the capacity, and in addition, a new sample obtained on line is added to the original training sample set to retrain the model, so that the model parameter is updated in time, the adaptability is better, and the prediction of the residual cycle life of the cadmium-nickel storage battery can be realized.

Description

technical field [0001] The invention belongs to the technical field of battery life prediction, and in particular relates to a battery life prediction method based on prediction model fusion and a storage medium. Background technique [0002] No matter the electric locomotive or the diesel locomotive, the battery and the charger are connected in parallel to form the energy source of the locomotive control circuit. Once the battery fails, it will be impossible to maintain the normal use of the lighting, wireless communication devices and emergency devices in the car, which will endanger the lives and property of passengers. will pose a great threat. Through investigation, it is found that the batteries used in high-speed railway vehicles are mostly alkaline nickel-cadmium batteries, which are generally replaced according to the number of running kilometers or service life in actual use. At this time, the battery life often has a large margin, and replacement in advance will ...

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
IPC IPC(8): G06Q10/04G06N3/00G06N3/04G06N3/08
CPCG06Q10/04G06N3/006G06N3/08G06N3/045G06N3/044
Inventor 于天剑甘沁洁成庶伍珣代毅
Owner CENT SOUTH UNIV
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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap