Integrated model construction for state of charge estimation in electric vehicle lithium batteries

Integrated model construction for state of charge estimation in electric vehicle lithium batteries

Abstract This research addresses the issue of State of Charge (SOC) prediction for electric vehicle batteries by employing a dynamic Kalman neural network model. The model is optimized using a Genetic algorithm to adjust the neural network weights. Additionally, a strategy involving support vector m...

Full description

Bibliographic Details
Main Authors: Yuanyuan Liu, Wenxin Dun
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:Energy Informatics
Subjects:
Electric vehicles
Lithium batteries
SOC
Integrated model
Online Access:https://doi.org/10.1186/s42162-024-00322-6

Internet

https://doi.org/10.1186/s42162-024-00322-6

Similar Items