A Soft Short-Circuit Diagnosis Method for Lithium-Ion Battery Packs in Electric Vehicles
Author:
Affiliation:
1. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia
2. Department of Vehicle Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China
Funder
Australian Government Research Training Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/63/9743201/09714055.pdf?arnumber=9714055
Reference28 articles.
1. Model-based fault diagnosis approach on external short circuit of lithium-ion battery used in electric vehicles
2. Online Fault Diagnosis of External Short Circuit for Lithium-Ion Battery Pack
3. A fault-tolerant voltage measurement method for series connected battery packs
4. Internal short circuit detection for lithium-ion battery pack with parallel-series hybrid connections
5. Online detection of early stage internal short circuits in series-connected lithium-ion battery packs based on state-of-charge correlation
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