A Fusion Algorithm Based Lithium-ion Battery Remaining Life Prediction Method
A lithium-ion battery, life prediction technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problem of not mentioning the error compensation of the filtering model, and achieve high accuracy, improve prediction accuracy, and good stability. Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0037] Embodiments of the present invention are described below through specific examples.
[0038] figure 1 It is the overall flowchart of the method of the present invention, as shown in the figure, in this embodiment, the following method steps are adopted:
[0039] Step S1: Obtain open-source battery capacity decay data from the Advanced Life Cycle Engineering Center of the University of Maryland in the United States, select the capacity degradation model (CDM), and determine the RUL prediction model based on one of the optimal control algorithms—particle filter algorithm (PF) parameter;
[0040] Step S2: Utilize the superiority of PF in the process of nonlinear and non-Gaussian capacity degradation, fit the training set data (number of cycles k<160), and iteratively output PF algorithm model parameter filter estimates and battery capacity attenuation filter estimates value, the estimated value is filtered through the model parameters, and the initial RUL prediction valu...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
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