Characterization of electro-mechanical properties of MESC for EV applications

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

doi:10.1117/12.3015507

10 May 2024 Characterization of electro-mechanical properties of MESC for EV applications

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

Author Affiliations +

Proceedings Volume PC12952, NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The Digital Transformation of NDE II; PC1295205 (2024) https://doi.org/10.1117/12.3015507
Event: SPIE Smart Structures + Nondestructive Evaluation, 2024, Long Beach, California, United States

Abstract

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.

Conference Presentation

Citation Download Citation

Saman Farhangdoust, Shabbir Ahmed, Pu Xie, Alexander Strange, Jeigyeong Jeon, and Fu-Kuo Chang "Characterization of electro-mechanical properties of MESC for EV applications", Proc. SPIE PC12952, NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The Digital Transformation of NDE II, PC1295205 (10 May 2024); https://doi.org/10.1117/12.3015507

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
PRESENTATION

WATCH
PRESENTATION SAVE TO MY LIBRARY

GET CITATION

KEYWORDS

Batteries

Manufacturing

Statistical modeling

Keywords/Phrases

Search In:

Publication Years