Abstract: The modal performance of a battery pack directly determines its dynamic response under vibration conditions. Improving modal characteristics effectively enhances structural durability and service life. This study employs HyperStudy software to conduct modal optimization research for battery packs: By establishing dimensional and shape variables, key factors significantly influencing battery pack frequency are identified through design of experiments (DOE). Subsequently, the global response surface method (GRSM) optimization algorithm is applied to achieve a quality reduction of 3 kg while satisfying the target frequency constraint of 35 Hz. The accuracy of optimization results is validated through bench vibration tests. This research provides effective methodological guidance for enhancing the modal performance of battery packs.

Key words: battery pack; modal performance; HyperStudy; design of experiments; global response surface method

摘要： 电池包的模态特性直接决定其振动条件下的动态响应，改善模态特性可显著提升结构 件耐久使用寿命。该研究采用 HyperStudy 软件开展电池包模态优化：通过设定尺寸与形状变 量，结合实验设计（DOE）识别对电池包频率有显著影响的关键因素；进而采用全局响应面 法（GRSM）进行优化，在满足 35 Hz 目标频率的同时，实现减重 3 kg；最后通过台架振动测 试验证仿真结果准确性。该研究为提升电池包模态性能提供有效方法指导。

关键词: 电池包；模态性能；HyperStudy；DOE；GRSM