Journal of South China University of Technology(Natural Science) >

2024 , Vol. 52 >Issue 12: 43 - 51

DOI: https://doi.org/10.12141/j.issn.1000-565X.230737

Mechanical Engineering

Optimization Design of Battery Box of Electric Vehicles Based on Response Surface Model

  • WANG Ningzhen ,
  • QIN Kangjie ,
  • TANG Liang ,
  • SHANGGUAN Lijian ,
  • ZHOU Fupeng ,
  • SHANGGUAN Wenbin
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  • 1.The School of Technology，Beijing Forestry University，Beijing 100083，China
    2.Ningbo Tuopu Group Co. ，Ltd. ，Ningbo 315800，Zhejiang，China
    3.Lucky Harvest Co. ，Ltd. ，Dongguan 523870，Guangdong，China
    4.School of Mechanical and Automotive Engineering，South China University of Technology，Guangzhou 510640，Guangdong，China
王宁珍（1991—），女，博士，副教授，主要从事汽车防撞吸能与轻量化研究。E-mail： ningzhenwang@bjfu.edu.cn

Received date: 2023-11-27

  Online published: 2024-03-11

Supported by

the National Natural Science Foundation of China(51975057);Beijing Natural Science Foundation(3244034)

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Abstract

In order to improve the performance of the battery box of electric vehicles and strengthen the safety and reliability of each component, the acceleration response of the battery modules at different positions inside the box was investigated with the battery box body of an electric vehicle, finding that the calculation results of the power spectral density curves of the three groups of battery modules in the z direction are in good agreement with the test results. Then, by considering the dimensional parameters, such as the top cover of the box, the front end parts of the box, the rear end parts of the box, the middle parts of the box, the module fixing brackets and the reinforcement parts, a response surface proxy model, which describes the relationship between the dimensional parameters of the battery box’s main parts and the intrinsic frequency, deformation as well as vibration response, was established, and the random vibration and the mechanical shock of the box were calculated, with the results verifying the correctness of the model. Based on the Box-Behnken response surface method for designing tests, several combinations of tests with six design variables and three levels were obtained, and the corresponding test design matrices were obtained. A polynomial response surface approximation model was fitted using multiple regression analysis, and the model was iterated and optimized using a multi-objective genetic algorithm to obtain the optimal dimensional parameters of the battery box. Experimental results show that, as compared with the original model, the first-order intrinsic frequency in the optimized case increases by 29.12%, the deformation reduces by 29.39%, and the vibration response reduces by 40.31%, which means a successful lightweighting. The modelling and analyzing methods in this paper can be used to calculate the influence of the battery box components on the overall structure of the battery box, improve the performance of the battery box through optimized design, and strengthen the safety and reliability of each component.

Key words： battery box; response surface model; random vibration; optimization design

Cite this article

WANG Ningzhen , QIN Kangjie , TANG Liang , SHANGGUAN Lijian , ZHOU Fupeng , SHANGGUAN Wenbin . Optimization Design of Battery Box of Electric Vehicles Based on Response Surface Model[J]. Journal of South China University of Technology(Natural Science), 2024 , 52(12) : 43 -51 . DOI: 10.12141/j.issn.1000-565X.230737

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