Fault diagnosis of lithium-ion batteries based on wavelet packet decomposition and Manhattan average distance-Reference-Cited by-同舟云学术

Fault diagnosis of lithium-ion batteries based on wavelet packet decomposition and Manhattan average distance

Published:2024-03-21 Issue:12 Volume:21 Page:2828-2842
ISSN:1543-5075
Container-title:International Journal of Green Energy
language:en
Short-container-title:International Journal of Green Energy

Author:

Liao Li¹,Yang Da¹,Li Xunbo¹,Jiang Jiuchun¹,Wu Tiezhou¹

Affiliation:

1. Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, P. R. China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15435075.2024.2332331

Reference49 articles.

1. Model-based fault diagnosis approach on external short circuit of lithium-ion battery used in electric vehicles

2. Model-Based Battery Thermal Fault Diagnostics: Algorithms, Analysis, and Experiments

3. Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data

4. Combined parameter and output estimation of dual-rate systems using an auxiliary model

5. Parameter estimation of dual-rate stochastic systems by using an output error method

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