Q
Qadeer Ahmed
Researcher at Ohio State University
Publications - 108
Citations - 800
Qadeer Ahmed is an academic researcher from Ohio State University. The author has contributed to research in topics: Powertrain & Torque. The author has an hindex of 12, co-authored 94 publications receiving 606 citations. Previous affiliations of Qadeer Ahmed include Jinnah University for Women & Capital University.
Papers
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Structural analysis based sensors fault detection and isolation of cylindrical lithium-ion batteries in automotive applications
TL;DR: In this paper, a model-based fault diagnosis scheme was proposed to detect and isolate the current, voltage and temperature sensor fault, which relies on the sequential residual generation using structural analysis theory and statistical inference residual evaluation.
Proceedings ArticleDOI
2-sliding mode based robust control for 2-DOF helicopter
TL;DR: In this paper, a robust control algorithm based on super twisting based 2-sliding mode control (2-SMC) is proposed to cope with torques caused by perturbation in center of gravity (CG) and guarantees smooth flight.
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Estimating SI Engine Efficiencies and Parameters in Second-Order Sliding Modes
Qadeer Ahmed,Aamer Iqbal Bhatti +1 more
TL;DR: Four of the critical parameters discussed are frictional torque, combustion efficiency, volumetric efficiency, and throttle discharge coefficient are estimated from a two-state nonlinear inlet manifold pressure and rotational speed dynamics-based engine model.
Proceedings ArticleDOI
Fault Detection and Isolation for Lithium-Ion Battery System Using Structural Analysis and Sequential Residual Generation
TL;DR: In this article, a Fault Detection and Isolation (FDI) scheme for nonlinear battery systems is proposed, in which the faults to be diagnosed are highlighted using a detailed hazard analysis conducted for battery systems.
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Virtual Sensors for Automotive Engine Sensors Fault Diagnosis in Second-Order Sliding Modes
TL;DR: In this article, the authors presented a scheme to devise virtual sensors for health monitoring of engine air intake path sensors, which assists in: Sensing of critical immeasurable parameters like Volumetric and Combustion efficiency, development of Virtual Sensor from manifold pressure dynamics for rotational speed and vice versa, Health Monitoring of the manifold pressure and crankshaft sensor.