Advanced fault diagnosis for lithium-ion battery systems: A review of fault mechanisms, fault features, and diagnosis procedures

X Hu, K Zhang, K Liu, X Lin, S Dey… - IEEE Industrial …, 2020 - ieeexplore.ieee.org
Lithium (Li)-ion batteries have become the mainstream energy storage solution for many
applications, such as electric vehicles (EVs) and smart grids. However, various faults in a Li …

Fault diagnosis for electric drive systems of electrified vehicles based on structural analysis

J Zhang, H Yao, G Rizzoni - IEEE Transactions on Vehicular …, 2016 - ieeexplore.ieee.org
Functional safety is of great importance for electric and hybrid electric vehicles (EV/HEVs).
One way to improve functional safety of EV/HEVs is to develop reliable and robust onboard …

Structural analysis based sensors fault detection and isolation of cylindrical lithium-ion batteries in automotive applications

Z Liu, Q Ahmed, J Zhang, G Rizzoni, H He - Control engineering practice, 2016 - Elsevier
The battery sensors fault diagnosis is of great importance to guarantee the battery
performance, safety and life as the operations of battery management system (BMS) mainly …

Model-based diagnosis through structural analysis and causal computation for automotive polymer electrolyte membrane fuel cell systems

P Polverino, E Frisk, D Jung, M Krysander… - Journal of Power …, 2017 - Elsevier
The present paper proposes an advanced approach for Polymer Electrolyte Membrane Fuel
Cell (PEMFC) systems fault detection and isolation through a model-based diagnostic …

Data-driven open-set fault classification of residual data using Bayesian filtering

D Jung - IEEE Transactions on Control Systems Technology, 2020 - ieeexplore.ieee.org
Data-driven fault classification in industrial applications is complicated by unknown fault
classes and limited training data. In addition, different faults can have similar effects on …

[HTML][HTML] Real-time detection of incipient inter-turn short circuit and sensor faults in permanent magnet synchronous motor drives based on generalized likelihood ratio …

S Hasan Ebrahimi, M Choux, VK Huynh - Sensors, 2022 - mdpi.com
This paper presents a robust model-based technique to detect multiple faults in permanent
magnet synchronous motors (PMSMs), namely inter-turn short circuit (ITSC) and encoder …

Data-driven control of automotive diesel engines and after-treatment systems: State of the art and future challenges

K Jiang, F Yan, H Zhang - Proceedings of the Institution of …, 2023 - journals.sagepub.com
Model-based approaches have played a significant role in automotive electronics for diesel
engines and aftertreatment systems, while they also have some drawbacks that cannot be …

Fault detection and isolation for lithium-ion battery system using structural analysis and sequential residual generation

Z Liu, Q Ahmed, G Rizzoni… - Dynamic Systems …, 2014 - asmedigitalcollection.asme.org
This paper presents a systematic methodology based on structural analysis and sequential
residual generators to design a Fault Detection and Isolation (FDI) scheme for nonlinear …

Life cycle performance estimation and in-flight health monitoring for gas turbine engine

F Lu, W Zheng, J Huang… - Journal of …, 2016 - asmedigitalcollection.asme.org
A long-term gas-path fault diagnosis and its rapid prototype system are presented for on-line
monitoring of a gas turbine engine. Toward this end, a nonlinear hybrid model-based …

Fault tolerant position-mooring control for offshore vessels

M Blanke, DT Nguyen - Ocean Engineering, 2018 - Elsevier
Fault-tolerance is crucial to maintain safety in offshore operations. The objective of this
paper is to show how systematic analysis and design of fault-tolerance is conducted for a …