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 …

Control systems have come to play an important role in the performance of modern vehicles
with regards to meeting goals on low emissions and low fuel consumption. To achieve these …

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 …

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 …

The present paper proposes an advanced approach for Polymer Electrolyte Membrane Fuel
Cell (PEMFC) systems fault detection and isolation through a model-based diagnostic …

Conventional engine-powered vehicles gradually decline in sales due to their emission
effects as well as the unavailability of fuels in 2030. Alternatively, Electric Vehicles (EVs) …

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 …

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 …

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 …

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 …