Electric Boat Online Battery Fault Detection and Identification-Reference-Cited by-同舟云学术

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Electric Boat Online Battery Fault Detection and Identification

Published:2024-05-23 Issue: Volume:6 Page:000455-000460
ISSN:
Container-title:2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI)
language:
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Author:

Farkas Zoltán¹,Vass Viktor²,Györök György³

Affiliation:

1. Doctoral School on Safety and Security Sciences, Óbuda University,Budapest,Hungary

2. Doctoral School of Materials Sciences and Technologies, Óbuda University,Budapest,Hungary

3. Óbuda University,Alba Regia Technical Faculty,Székesfehérvár,Hungary

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10619709/10619059/10619792.pdf?arnumber=10619792

Reference28 articles.

1. A comprehensive insight into the thermal runaway issues in the view of lithium-ion battery intrinsic safety performance and venting gas explosion hazards

2. High-Energy Lithium-Ion batteries: recent progress and a promising future in applications;Xu,2023

3. Perspectives and challenges for future lithium-ion battery control and management;Wang,2023

4. Lithium-ion batteries: outlook on present, future, and hybridized technologies;Kim,2019

5. Beyond the State of the Art of Electric Vehicles: A Fact-Based Paper of the current and Prospective Electric Vehicle Technologies;Van,2021

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