Multidisciplinary design optimization of BEV body structure

Research output: Contribution to conference (unpublished)Paperpeer-review

Standard

Multidisciplinary design optimization of BEV body structure. / Zhang, Jibing; Hu, Sanbao; Guo, Xuexun; Zhou, Quan.

2015. Paper presented at 14th Symposium on International Automotive Technology, SIAT 2015, Pune, India.

Research output: Contribution to conference (unpublished)Paperpeer-review

Harvard

Zhang, J, Hu, S, Guo, X & Zhou, Q 2015, 'Multidisciplinary design optimization of BEV body structure', Paper presented at 14th Symposium on International Automotive Technology, SIAT 2015, Pune, India, 21/01/15 - 23/01/15. https://doi.org/10.4271/2015-26-0229

APA

Zhang, J., Hu, S., Guo, X., & Zhou, Q. (2015). Multidisciplinary design optimization of BEV body structure. Paper presented at 14th Symposium on International Automotive Technology, SIAT 2015, Pune, India. https://doi.org/10.4271/2015-26-0229

Vancouver

Zhang J, Hu S, Guo X, Zhou Q. Multidisciplinary design optimization of BEV body structure. 2015. Paper presented at 14th Symposium on International Automotive Technology, SIAT 2015, Pune, India. https://doi.org/10.4271/2015-26-0229

Author

Zhang, Jibing ; Hu, Sanbao ; Guo, Xuexun ; Zhou, Quan. / Multidisciplinary design optimization of BEV body structure. Paper presented at 14th Symposium on International Automotive Technology, SIAT 2015, Pune, India.

Bibtex

@conference{1393b003764c45cbb393a791844a4582,
title = "Multidisciplinary design optimization of BEV body structure",
abstract = "Blade Electric Vehicle (BEV) with a light body plays an important role in saving the energy and reducing the exhaust emission. However, reducing the body weight need to meet the heterogeneous attributes such as structural, safety and NVH (Noise, Vibration and Harshness) performance. With the rapid development of finite element (FE) analysis technology, simulation analysis is widely used for researching the complex engineering design problem. Multidisciplinary Design Optimization (MDO) of a BEV body is a challenging but meaningful task in the automotive lightweight. In present research, the MDO is introduced to optimize a BEV Body-in-White (BIW). The goal of optimization is to minimize the mass of the BIW while meeting the following requirements: structural performance (the bending and torsion stiffness is increased), NVH performance (the first overall torsion frequency is increased), and safety performance (the roof crush resistance is improved).The sample points were obtained by using Design of Experiment (DOE) with optimal Latin hypercube. The approximation models of mass, bending stiffness, torsion stiffness, modal and safety were established with the polynomial response surface method (RSM). The thicknesses of nine parts of the BIW were selected to be optimized by Muti-island Genetic Algorithm (MGA) method. After the MDO of the BIW, the paper drew the following conclusions: 1.The predictive values of the approximation and the results of FE simulation had a good agreement with an error less than 5.00% and the former met the engineering requirements; 2.The weight of the BIW was reduced by 2.00% and the optimized BIW met all prescribed requirements about structural, NVH and safety performance.",
author = "Jibing Zhang and Sanbao Hu and Xuexun Guo and Quan Zhou",
year = "2015",
month = jan,
day = "14",
doi = "10.4271/2015-26-0229",
language = "English",
note = "14th Symposium on International Automotive Technology, SIAT 2015 ; Conference date: 21-01-2015 Through 23-01-2015",

}

RIS

TY - CONF

T1 - Multidisciplinary design optimization of BEV body structure

AU - Zhang, Jibing

AU - Hu, Sanbao

AU - Guo, Xuexun

AU - Zhou, Quan

PY - 2015/1/14

Y1 - 2015/1/14

N2 - Blade Electric Vehicle (BEV) with a light body plays an important role in saving the energy and reducing the exhaust emission. However, reducing the body weight need to meet the heterogeneous attributes such as structural, safety and NVH (Noise, Vibration and Harshness) performance. With the rapid development of finite element (FE) analysis technology, simulation analysis is widely used for researching the complex engineering design problem. Multidisciplinary Design Optimization (MDO) of a BEV body is a challenging but meaningful task in the automotive lightweight. In present research, the MDO is introduced to optimize a BEV Body-in-White (BIW). The goal of optimization is to minimize the mass of the BIW while meeting the following requirements: structural performance (the bending and torsion stiffness is increased), NVH performance (the first overall torsion frequency is increased), and safety performance (the roof crush resistance is improved).The sample points were obtained by using Design of Experiment (DOE) with optimal Latin hypercube. The approximation models of mass, bending stiffness, torsion stiffness, modal and safety were established with the polynomial response surface method (RSM). The thicknesses of nine parts of the BIW were selected to be optimized by Muti-island Genetic Algorithm (MGA) method. After the MDO of the BIW, the paper drew the following conclusions: 1.The predictive values of the approximation and the results of FE simulation had a good agreement with an error less than 5.00% and the former met the engineering requirements; 2.The weight of the BIW was reduced by 2.00% and the optimized BIW met all prescribed requirements about structural, NVH and safety performance.

AB - Blade Electric Vehicle (BEV) with a light body plays an important role in saving the energy and reducing the exhaust emission. However, reducing the body weight need to meet the heterogeneous attributes such as structural, safety and NVH (Noise, Vibration and Harshness) performance. With the rapid development of finite element (FE) analysis technology, simulation analysis is widely used for researching the complex engineering design problem. Multidisciplinary Design Optimization (MDO) of a BEV body is a challenging but meaningful task in the automotive lightweight. In present research, the MDO is introduced to optimize a BEV Body-in-White (BIW). The goal of optimization is to minimize the mass of the BIW while meeting the following requirements: structural performance (the bending and torsion stiffness is increased), NVH performance (the first overall torsion frequency is increased), and safety performance (the roof crush resistance is improved).The sample points were obtained by using Design of Experiment (DOE) with optimal Latin hypercube. The approximation models of mass, bending stiffness, torsion stiffness, modal and safety were established with the polynomial response surface method (RSM). The thicknesses of nine parts of the BIW were selected to be optimized by Muti-island Genetic Algorithm (MGA) method. After the MDO of the BIW, the paper drew the following conclusions: 1.The predictive values of the approximation and the results of FE simulation had a good agreement with an error less than 5.00% and the former met the engineering requirements; 2.The weight of the BIW was reduced by 2.00% and the optimized BIW met all prescribed requirements about structural, NVH and safety performance.

UR - http://www.scopus.com/inward/record.url?scp=84923165796&partnerID=8YFLogxK

U2 - 10.4271/2015-26-0229

DO - 10.4271/2015-26-0229

M3 - Paper

T2 - 14th Symposium on International Automotive Technology, SIAT 2015

Y2 - 21 January 2015 through 23 January 2015

ER -