Inconsistency modeling of lithium-ion battery pack based on variational auto-encoder considering multi-parameter correlation-Reference-Cited by-同舟云学术

Inconsistency modeling of lithium-ion battery pack based on variational auto-encoder considering multi-parameter correlation

Published:2023-08 Issue: Volume:277 Page:127409
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

He Xitian,Sun Bingxiang^ORCID,Zhang Weige,Su Xiaojia,Ma Shichang,Li Hao,Ruan Haijun

Funder

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference32 articles.

1. Control strategies and economic analysis of an LTO battery energy storage system for AGC ancillary service;Sun;Energies,2020

2. Simulation of voltage imbalance in large lithium-ion battery packs influenced by cell-to-cell variations and balancing systems;Zilberman;J. Energy Storage,2020

3. Computationally efficient methods for state of charge approximation and performance measure calculation in series-connected battery equalization systems;Han;J. Power Sources,2015

4. Estimation of cell SOC evolution and system performance in module-based battery charge equalization systems;Han;IEEE Trans. Smart Grid,2019

5. Multi-time scale variable-order equivalent circuit model for virtual battery considering initial polarization condition of lithium-ion battery;He;Energy,2022

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel state of health estimation method for lithium-ion battery pack based on cross generative adversarial networks;Applied Energy;2025-01

2. Implementing expansion force-based early warning in LiFePO4 batteries with various states of charge under thermal abuse scenarios;Applied Energy;2024-05

3. Bio-inspired honeycomb structures to improve the crashworthiness of a battery-pack system;Engineering Failure Analysis;2024-04

4. Distribution network restoration supply method considers 5G base station energy storage participation;Energy;2024-02

5. Advancing Lithium-Ion Battery Health Prognostics With Deep Learning: A Review and Case Study;IEEE Open Journal of Industry Applications;2024