Past studies focused on proposing new materials for batteries components, state of health (SOH) prediction, thermal design, equivalent circuit modeling, and so on. Those studies have been implemented on individual basis on a single battery or battery pack. However, there is hardly any research found that encompasses all the multidisciplinary aspects (such as materials, SOH, intelligent configuration [assembly], thermal design, mechanical safety, and recycling of materials and pack) simultaneously for the battery pack design of electric vehicles. This research article proposes a synthetic methodology for an advanced design of battery pack and its components by incorporating optimal scenario of materials selection for battery electrodes, SOH estimation, configurations (assembly) of cells, thermal (air and liquid cooling) design, battery pack casing mechanical safety, and recycling aspects of battery and battery pack. The problem is divided into the several parts and methodology for each is proposed. Cumulative advantages of the methodology with six future critical directions are discussed in the end.

中文翻译：

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电动汽车电池组的智能优化方法：多学科视角

过去的研究集中在为电池组件提出新材料，健康状态（SOH）预测，热设计，等效电路建模等方面。这些研究是在单个电池或电池组上单独进行的。但是，几乎没有任何研究能够同时涵盖电动汽车电池组设计的所有多学科方面（例如材料，SOH，智能配置[组件]，热设计，机械安全以及材料和电池组的回收）。这篇研究文章提出了一种用于电池组及其组件高级设计的综合方法，该方法结合了电池电极材料选择，SOH估算，电池配置（组装），热（空气和液体冷却）设计的最佳方案，电池组的外壳机械安全，以及电池和电池组的回收方面。该问题分为几个部分，并针对每个部分提出了方法。最后讨论了该方法在六个未来关键方向上的累积优势。