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research-article

Nonlinear parametric reduced-order model for the structural dynamics of hybrid electric vehicle batteries

[+] Author and Article Information
Jauching Lu

Department of Mechanical Engineering University of Michigan Ann Arbor, Michigan 48105 USA
jauching@umich.com

Kiran D'Souza

Department of Mechanical and Aerospace Engineering The Ohio State University Columbus, Ohio 43235 USA
dsouza.60@osu.edu

Matthew P. Castanier

US Army TARDEC USA
matthew.p.castanier.civ@mail.mil

Bogdan I. Epureanu

Department of Mechanical Engineering University of Michigan Ann Arbor, Michigan 48105 USA
epureanu@umich.edu

1Corresponding author.

ASME doi:10.1115/1.4038302 History: Received June 23, 2017; Revised October 04, 2017

Abstract

Battery packs used in electrified vehicles exhibit high modal density due to their repeated cell substructures. If the excitation contains frequencies in the region of high modal density, small commonly occurring structural variations can lead to drastic changes in the vibration response. The battery pack fatigue life depends strongly on their vibration response, thus a statistical analysis of the vibration response with structural variations is important from a design point of view. In this work, parametric reduced-order models are created to efficiently and accurately predict the vibration response in Monte Carlo calculations which account for stochastic structural variations. Additionally, an efficient iterative approach to handle material nonlinearities used in battery packs is proposed to augment the parametric reduced-order models. The nonlinear structural behavior is explored, and numerical results are provided to validate the proposed models against full-order finite element approaches.

Copyright (c) 2017 by ASME
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