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汽车安全与节能学报 ›› 2020, Vol. 11 ›› Issue (2): 236-242.DOI: 10.3969/j.issn.1674-8484.2020.02.011

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基于隐式全参数化技术的动力电池仓轻量化设计

刘莹 1 ,祝振林 1 ,王登峰 2*   

  1. (1. 华晨汽车工程研究院 整车部,沈阳 110141,中国; 2.吉林大学 汽车仿真与控制国家重点实验室,长春 130022,中国)
  • 出版日期:2020-06-30 发布日期:2020-06-30
  • 通讯作者: 王登峰 (1963—),男 ( 汉 ),吉林,教授。E-mail: education201708@163.com。
  • 作者简介:第一作者 / First author : 刘莹 (1982—),男 ( 汉 ),辽宁,高级工程师。E-mail: ying.l@brilliance-auto.com。
  • 基金资助:
    国家自然科学基金资助项目 (51975244)。

Lightweight design of power battery compartments based on implicit full parameterization technology

LIU Ying1 , ZHU Zhenlin1 , WANG Dengfeng 2*   

  1. (1. Entire Vehicle Department, Brilliance Automotive Engineering Research Institute, Shenyang 110141, China; 2. Automotive Simulation and Control State Key Laboratory, Jilin University, Changchun 130022, China)
  • Online:2020-06-30 Published:2020-06-30

摘要: 为了对某型电动汽车锂离子动力电池仓进行轻量化设计,采用 SFE Concept 软件平台,建立 电池仓的隐式全参数化模型。结合 iSight 平台,建立电池仓的优化流程。以电池吊装构件装配位置 及关键零件壁厚为设计变量,以电池仓整体质量为优化设计的目标函数,以结构刚度、强度、疲劳耐久、 NVH(噪声、振动、声振粗糙度)性能为约束条件,并利用了pointer 算法。结果表明:参数优化后的 动力电池仓的质量,减少了2.6%。因而,此方法对电池仓结构的正向设计开发具有参考价值。

关键词: 锂离子动力电池, 轻量化设计, 结构优化, 刚强度, 参数化设计

Abstract: An implicit full parameterized model was established for lithium-ion power battery compartments of electric vehicles (EV) by using a software platform of SFE Concept to realize EV lightweight design. An optimization process of battery compartments was established by combining an iSight platform. The assembly position of battery hoisting components and wall thickness of key components were taken as design variables, and the overall quality of battery compartment was taken as the optimal-design objective function, while the structural stiffness, strength, the fatigue endurance and the NVH (noise, vibration, harshness) performance were taken as constraint conditions, and using a pointer algorithm. The results showed that the battery mass was reduced by 2.6% after parameter optimization. Therefore, this method has some references for the forwarddesign and development of battery compartment structure.

Key words: lithium-ion power battery, lightweight design, structure optimization, stiffness and strength, parametric design

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