Adaptive Battery State Estimation Considering Input Noise Compensation-Reference-Cited by-同舟云学术

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Adaptive Battery State Estimation Considering Input Noise Compensation

Published:2024-06-19 Issue: Volume: Page:223-228
ISSN:
Container-title:2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)
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Author:

Trevizan Rodrigo D.¹,O'Brien Victoria A.²,Rao Vittal S.³

Affiliation:

1. Energy Storage Technology & Systems, Sandia National Laboratories,Albuquerque,NM,USA

2. Electric Grid Security & Communications, Sandia National Laboratories,Albuquerque,NM,USA

3. Texas Tech University,Electrical and Computer Eng. Dept.,Lubbock,TX,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609025/10608821/10609188.pdf?arnumber=10609188

Reference26 articles.

1. Thermal runaway of lithium-ion batteries and hazards of abnormal thermal environments;Hewson;9th U.S. National Combustion Meeting,2015

2. New developments in battery safety for large-scale systems

3. Battery Energy Storage System (BESS) and Battery Management System (BMS) for Grid-Scale Applications

4. Battery Management System Hardware Concepts: An Overview

5. Overcharge-induced capacity fading analysis for large format lithium-ion batteries with Li Ni1/3Co1/3Mn1/3O2+ Li Mn2O4 composite cathode

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