Vibration Dose Value (VDV) and A (8) Calculation in Electric Two-Wheeler Using CAE Methodology with Test Correlation Simple Energy Private Limited

Format:

Book

Conference/Event

Author/Creator:

S, Vishnu, author.

Contributor:

B G, Puneeth Kumar

B S, Abhishek

Holla, Muralidhara

M, Manish

Mallick, Bikash

R, Dinesh

U, Manjunatha

Conference Name:

WCX SAE World Congress Experience (2023-04-18 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2023

Summary:

A typical motorcyclist experiences different vibration transfer functions at the point of body-vehicle interaction while riding. The main sources of vibration are engine-induced vibrations (for internal combustion engines), motor-induced vibrations (for electric vehicles), and road-induced vibrations. These vibrations can be perceived as criteria for driving comfort or as that is undesirably irritating and physically affecting the human body in various ride scenarios. Vibration Dose Value (VDV), Exposure Action Value (EAV), Exposure Limit Value (ELV) and RMS acceleration-A (8) Values are key metrics for accessing a perception of overall level of vibration transfer to the human body during various vibration exposures. The purpose of this study is to develop and propose a simulation method to calculate the VDV and A (8) values using a full vehicle CAE/FE simulation-based approach. The aim is to reduce the lengthy and tedious serial tests during the various course of a vehicle product development. As part of this research validation study, correlations with conventional test methods have also been performed to establish a well acceptance criteria for the simulation-driven approach. In this study, the vibration acceptance values are evaluated on an electric two-wheeled scooter as a function of the road roughness index and the electric motor flux forces. Good correlations were found between simulation and test-based approaches

Notes:

Vendor supplied data

Publisher Number:

2023-01-0156

Access Restriction:

Restricted for use by site license