Dr. Shabbir Ahmed Profile

Dr. Shabbir Ahmed

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Proceedings Article | 10 May 2024 Presentation

Characterization of electro-mechanical properties of MESC for EV applications

Saman Farhangdoust, Shabbir Ahmed, Pu Xie, Alexander Strange, Jeigyeong Jeon, Fu-Kuo Chang

Proceedings Volume PC12952, PC1295205 (2024) https://doi.org/10.1117/12.3015507

KEYWORDS: Batteries, Statistical modeling, Manufacturing

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Low mechanical capability currently limits the applicability of lithium-ion batteries for use in the structural components of electric vehicles and aircraft. This paper introduces a new Multifunctional Energy Storage Composites (MESC) concept to achieve a good balance between high energy density and mechanical strength with minimal compromise. The proposed MESC involves reinforcing lithium-ion battery cells using embedded rivets and integrates the cells into a CFRP composite structure. This research employs a combination of experimental and computational tools to conduct a comprehensive parametric study aimed at maximizing the mechanical and electrical performance of MESC. Multiple MESC samples underwent three-point bending tests and a multi-physics simulation model was developed using Abaqus to validate their manufacturing limits. The results demonstrate that the MESC significantly enhances the load transfer capabilities of CFRP composite sandwich structures with a battery core. This advancement holds promise for the development of electric vehicle body structures with improved performance.

Proceedings Article | 10 May 2024 Presentation

Monitoring of flight state and battery health with embedded piezoelectric sensor/actuator networks for eVTOL applications

Tanay Topac, Shabbir Ahmed, Fu-Kuo Chang

Proceedings Volume PC12952, PC1295201 (2024) https://doi.org/10.1117/12.3019015

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Due to recent advancements in electric propulsion, battery technology, and aerodynamics, eVTOL (electric Vertical Take-off and Landing) aircraft are heralded as the next frontier in the aviation industry. However, unlike their conventional counterparts, eVTOLs are much smaller in size and lighter in weight, creating challenges in navigating through turbulent atmospheric conditions at lower altitudes. Consequently, these aircraft must demonstrate exceptional agility to effectively maneuver through challenging weather conditions. Complicating matters further, eVTOLs rely on battery power, whose reliability and health status remain unpredictable and difficult to gauge precisely, thereby introducing additional complexities to their operation and maintenance. Therefore, innovative techniques are needed to ensure flight safety and battery health.

In this presentation, we will introduce novel fly-by-feel and battery health monitoring techniques based on integrated piezoelectric sensor/actuator networks. These techniques are aimed at making eVTOL operations safer and more efficient by providing real-time high-fidelity insights into flight mechanics and battery performance, thereby empowering operators to make informed decisions and mitigate potential risks effectively.

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