A Study on the Differences in Optimized Inputs of Various Data-Driven Methods for Battery Capacity Prediction

A Study on the Differences in Optimized Inputs of Various Data-Driven Methods for Battery Capacity Prediction

As lithium-ion batteries become increasingly popular worldwide, accurately determining their capacity is crucial for various devices that rely on them. Numerous data-driven methods have been applied to evaluate battery-related parameters. In the application of these methods, input features play a cr...

Full description

Saved in:
Bibliographic Details
Main Authors: Kuo Xin, Fu Jia, Byoungik Choi, Geesoo Lee
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Batteries
Subjects:
neural networks
SVM
PSO-BP
CNN
LSTM
GRU
Online Access:https://www.mdpi.com/2313-0105/11/1/26
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items