Topology optimization of electric vehicle chassis structure with distributed load-bearing batteries

被引:0
|
作者
Yufan Lu
Hongjiang Mao
Mingdong Zhou
机构
[1] Shanghai Jiao Tong University,Shanghai Key Laboratory of Digital Manufacture for Thin
关键词
Electric vehicle chassis; Cell to Chassis; Distributed battery design; Topology optimization;
D O I
暂无
中图分类号
学科分类号
摘要
This paper presents a systematic design approach of conceptually forming a lightweight electric vehicle (EV) chassis topology integrated with distributed load-bearing batteries of different shapes and dimensions using a density-based topology optimization approach. A deformable feature description function tailored to commercial Li-ion batteries is proposed to describe cell features with desirable layouts, dimensions, and continuous shapes only from cylinder to cube by applying a handful of design variables. A Kreisselmeier–Steinhauser function Boolean operation and a gradient-norm method are sequentially leveraged to integrate multiple cells enclosed by reinforced shells into a unified battery set. Besides, a new non-overlapping constraint is developed to avoid the geometric overlaps between all cells and further restrict the minimum battery spacing through introducing an auxiliary density filter. By solving the optimization problem, an EV chassis with distributed various specification batteries can be obtained, which exhibits better comprehensive mechanical properties than that with centralized uniform specification batteries under the same battery capacity and structural weight. Numerical examples of different battery capacity requirements, battery shell thicknesses, and minimum battery spacing are given to demonstrate the applicability of the proposed approach.
引用
收藏
相关论文
共 50 条
  • [21] STABILITY PROBLEMS IN WOOD CONSTRUCTION - LOAD-BEARING STRUCTURE
    BEER, H
    [J]. HOLZFORSCHUNG UND HOLZVERWERTUNG, 1969, 21 (03): : 52 - &
  • [22] Leveling Control of Vehicle Load-Bearing Platform Based on Multisensor Fusion
    Wang, Jianjun
    Zhao, Jingyi
    Cai, Wei
    Li, Wenlei
    Jia, Xing
    Wei, Peng
    [J]. JOURNAL OF SENSORS, 2021, 2021
  • [23] Optimization of Thermal Bridges Effect of Composite Lightweight Panels with Integrated Steel Load-Bearing Structure
    Tkalcic, Domagoj
    Milovanovic, Bojan
    Gasi, Mergim
    Rukavina, Marija Jelcic
    Pecur, Ivana Banjad
    [J]. ENERGIES, 2023, 16 (18)
  • [24] Topology Optimization of Stiffener Layout Design for Box Type Load-Bearing Component under Thermo-Mechanical Coupling
    Yang, Zhaohui
    Xiong, Tianhua
    Du, Fei
    Li, Baotong
    [J]. CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2023, 135 (02): : 1701 - 1718
  • [25] Optimization of Disassembly Strategies for Electric Vehicle Batteries
    Baazouzi, Sabri
    Rist, Felix Paul
    Weeber, Max
    Birke, Kai Peter
    [J]. BATTERIES-BASEL, 2021, 7 (04):
  • [26] Alternative statements of optimal load-bearing structure design problems
    Kretov A.S.
    Pavlenko A.P.
    Snigirev V.F.
    [J]. Russian Aeronautics (Iz VUZ), 2007, 50 (1) : 1 - 9
  • [27] Load-Bearing Performance of a Reinforced Fill Structure with Pile Penetration
    Ma, Qiang
    Yu, Hanlong
    Yang, Yicong
    Xi, Lei
    [J]. APPLIED SCIENCES-BASEL, 2024, 14 (10):
  • [28] Optimization of the Cooling System of Electric Vehicle Batteries
    Iswanto, A. Heri
    Harsono, Iwan
    Ahmed, Alim Al Ayub
    Sergeevna, Sergushina Elena
    Krasnikov, Stepan
    Zalilov, Rustem
    Grimaldo Guerrero, John William
    Latipova, Liliya N.
    Hachim, Safa Kareem
    [J]. FDMP-FLUID DYNAMICS & MATERIALS PROCESSING, 2022, 18 (03): : 835 - 850
  • [29] Scale effect and load-bearing behavior of a reconfigurable hybrid structure
    Matheou, M.
    Phocas, M. C.
    Christoforou, E. G.
    [J]. STRUCTURES AND ARCHITECTURE: BRIDGING THE GAP AND CROSSING BORDERS, 2019, 1 : 817 - 824
  • [30] Reduction of ceiling vibrations by stiffness modification of a load-bearing structure
    Tomko, M.
    Soltys, R.
    Demjan, I.
    [J]. ADVANCES AND TRENDS IN ENGINEERING SCIENCES AND TECHNOLOGIES II, 2017, : 285 - 290