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汽车安全与节能学报

JASE ›› 2019, Vol. 10 ›› Issue (2): 233-240.DOI: 10.3969/j.issn.1674-8484.2019.02.012

• 汽车节能与环保 • 上一篇    下一篇

基于多学科优化的锂离子动力电池包轻量化设计

于成龙，刘  莹 *，乔  鑫   

  1. （华晨汽车工程研究院 前期开发部，沈阳 110141，中国）
  • 收稿日期:2018-10-18 出版日期:2019-06-29 发布日期:2019-07-05
  • 通讯作者: 刘莹（1982—），男（汉），辽宁，高级工程师。E-mail: ying.l@brilliance-auto.com。
  • 作者简介:于成龙（1986—），男（汉），辽宁，工程师。E-mail: chenglong.yu@brilliance-auto.com。

Lightweight design of lithium-ion power battery pack based on multi-disciplinary optimization

YU Chenglong, LIU Ying*, QIAO Xin   

  1. （Pre-Development Department, Brilliance Automotive Engineering Research Institute, Shenyang 110141, China）
  • Received:2018-10-18 Online:2019-06-29 Published:2019-07-05

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摘要：

        为实现电动车锂离子动力电池包的轻量化、结构耐久性设计，依据国标要求，建立有限元模 型，并进行噪声振动粗糙度（NVH）、结构耐久性和碰撞安全工况的分析。将频域随机振动载荷等效 成时域随机信号，进行焊点疲劳分析。搭建多学科自动化样本计算流程，生成多学科近似模型，并进 行优化分析。疲劳寿命预测结果与实验结果一致。结果表明：采用该多学科优化设计方案，质量减少4.0 kg，减少率6.5%；模态降低了13.4%；最大焊点损伤值0.52，满足目标要求，在实验中未出现破坏。 因此，该多学科优化设计可以快速准确地找到全局最优解。

关键词: 电动汽车 , 轻量化 , 噪声振动粗糙度（NVH） , 锂离子动力电池包 , 焊点疲劳 , 多学科设计优化

Abstract:

A finite element model (FEM) for a lithium-ion battery pack of an electric vehicles (EV) was established according to the China Standard GB/T 31467.3 “Safety requirements for lithium ion power batteries for electric vehicles” with analyzing noise vibration harshness (NVH), structural durability and crash safety to realize lightweight and structural durability. The weld spot fatigue analysis was carried out with the random vibration load in freguency domain being equivalent to the random signal in time domain. A multi-disciplinary automatic sample calculation-process was built to generate an approximate model with an optimization analysis. The predicting fatigue life was consistent with the experimental results. The results show that by using a multi-disciplinary optimization-design, the battery pack mass reduces by 4.0 kg with a rate of 6.5% with the pack modal-number reducing by 13.4%, while the maximum weld spot damage rate is 0.52, which meets the requirements of the target, and without any failure in the experiments. Therefore, the multi-disciplinary optimization-design can quickly and accurately find the solution of global optimization.

Key words: electric vehicle (EV) ,  light-weight , noise vibration harshness (NVH) , lithium-ion power battery pack ,  weld spot-fatigue ,  multidisciplinary optimization design