Effects of Battery Integration in Modal Behaviour of Electric Two Wheeler Frame Ather Energy, Limited

Format:

Book

Conference/Event

Author/Creator:

Das Sharma, Aritrya, author.

Contributor:

Anandh, Sudheep

Iyer, Siddharth

Prasad, Sathish

Conference Name:

Symposium on International Automotive Technology (2026) (2026-01-28 : Pune, India)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2026

Summary:

This research investigates the dynamic characteristics of an electric two-wheeler chassis through a combined experimental and numerical approach, and understands the contribution of battery towards overall behaviour of the frame in a structural manner. The study commences with the development of a detailed CAD model, which serves as the basis for Finite Element Analysis (FEA) to predict the chassis's natural frequencies and mode shapes. These numerical simulations offer initial insights into the structural vibration behavior crucial for ensuring vehicle stability and rider comfort.To validate the FEA predictions, experimental modal analysis is performed on a physical prototype of the electric two-wheeler chassis using impact hammer excitation. Multiple response measurements are acquired via accelerometers, and the resulting data is processed to extract experimental modal parameters. The correlation between the simulated and experimental mode shapes is quantitatively assessed using the Modal Assurance Criterion (MAC). This matrix provides a measure of the consistency and similarity between the mode vectors obtained from both methods.Discrepancies identified through MAC analysis necessitate an iterative model updating process which are used to further update the FEA model. This integrated approach of CAD modeling, FEA simulation, experimental testing, and MAC-based correlation allows for the development of a validated numerical model. The refined FEA model can then be utilized for advanced analyses such as fatigue life prediction, structural optimization, and NVH (Noise, Vibration, and Harshness) studies. This work underscores the significance of experimental validation in enhancing the accuracy and reliability of simulation models for complex structural systems in the automotive industry

Notes:

Vendor supplied data

Publisher Number:

2026-26-0310

Access Restriction:

Restricted for use by site license