Muti-objective topology optimization of an electric vehicle's traction battery enclosure

Lu Wang; Xiao Kai Chen; Qing Hai Zhao

doi:10.1016/j.egypro.2016.06.103

Muti-objective topology optimization of an electric vehicle's traction battery enclosure

Lu Wang, Xiao Kai Chen, Qing Hai Zhao

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

21 Citations (Scopus)

Abstract

The traction battery enclosure is one of the most significant parts of an electric vehicle. Better structural performance and lightweight design of battery enclosure are e xtremely important in current situation. This paper introduces a multi-objective topology optimization design method for the traction battery enclosure, in which both the static stiffness and dynamic frequencies are taken into consideration. The optimization is utilized to achieve a new battery enclosure structure with better static and dynamic performances. The results illustrate that the structural topology optimization approach can be a feasible and efficient design methodology for the traction battery enclosure structural design and can provide the designer with detailed guidance in conceptual design phase.

Original language	English
Pages (from-to)	874-880
Number of pages	7
Journal	Energy Procedia
Volume	88
DOIs	https://doi.org/10.1016/j.egypro.2016.06.103
Publication status	Published - 1 Jun 2016
Event	Applied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015 - Fuzhou, China Duration: 15 Nov 2015 → 17 Nov 2015

Keywords

Electric vehicle
Lightweight
Multi-objective topology optimization
Traction battery enclosure

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10.1016/j.egypro.2016.06.103

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title = "Muti-objective topology optimization of an electric vehicle's traction battery enclosure",

abstract = "The traction battery enclosure is one of the most significant parts of an electric vehicle. Better structural performance and lightweight design of battery enclosure are e xtremely important in current situation. This paper introduces a multi-objective topology optimization design method for the traction battery enclosure, in which both the static stiffness and dynamic frequencies are taken into consideration. The optimization is utilized to achieve a new battery enclosure structure with better static and dynamic performances. The results illustrate that the structural topology optimization approach can be a feasible and efficient design methodology for the traction battery enclosure structural design and can provide the designer with detailed guidance in conceptual design phase.",

keywords = "Electric vehicle, Lightweight, Multi-objective topology optimization, Traction battery enclosure",

author = "Lu Wang and Chen, {Xiao Kai} and Zhao, {Qing Hai}",

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T1 - Muti-objective topology optimization of an electric vehicle's traction battery enclosure

AU - Wang, Lu

AU - Chen, Xiao Kai

AU - Zhao, Qing Hai

PY - 2016/6/1

Y1 - 2016/6/1

N2 - The traction battery enclosure is one of the most significant parts of an electric vehicle. Better structural performance and lightweight design of battery enclosure are e xtremely important in current situation. This paper introduces a multi-objective topology optimization design method for the traction battery enclosure, in which both the static stiffness and dynamic frequencies are taken into consideration. The optimization is utilized to achieve a new battery enclosure structure with better static and dynamic performances. The results illustrate that the structural topology optimization approach can be a feasible and efficient design methodology for the traction battery enclosure structural design and can provide the designer with detailed guidance in conceptual design phase.

AB - The traction battery enclosure is one of the most significant parts of an electric vehicle. Better structural performance and lightweight design of battery enclosure are e xtremely important in current situation. This paper introduces a multi-objective topology optimization design method for the traction battery enclosure, in which both the static stiffness and dynamic frequencies are taken into consideration. The optimization is utilized to achieve a new battery enclosure structure with better static and dynamic performances. The results illustrate that the structural topology optimization approach can be a feasible and efficient design methodology for the traction battery enclosure structural design and can provide the designer with detailed guidance in conceptual design phase.

KW - Electric vehicle

KW - Lightweight

KW - Multi-objective topology optimization

KW - Traction battery enclosure

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VL - 88

SP - 874

EP - 880

JO - Energy Procedia

JF - Energy Procedia

T2 - Applied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015

Y2 - 15 November 2015 through 17 November 2015

ER -

Muti-objective topology optimization of an electric vehicle's traction battery enclosure

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