Global warming is a global and critical challenge and car manufacturers pledge to reduce their carbon footprint. It is mandatory to assess the carbon footprint of current and upcoming vehicles to achieve these self-set and quantified targets. Life Cycle Assessment (LCA) is a standardized and scientifically acknowledged method to quantify a product's or company's environmental impact. Due to the complexity of a vehicle's cradle-to-gate phase, automation of LCAs is a suitable simplification strategy by importing product information and automatically assign them to pre-defined life cycle inventory (LCI) models. The data acquisition is a recognized issue, but the LCI modelling is hardly discussed in the literature for automated LCAs even though it has a significant influence on their accuracy. This paper presents an approach to elaborate an LCI model construct that enables consistent and efficient automated LCA while maintaining defined accuracy and applicability in commercial LCA software. Such an LCI model construct and its derivation are presented in this paper for automotive aluminium components considering sheet components, casting components and extrusion profiles. It is mandatory for a precise calculation to take the most influencing parameters into consideration. Grid points for each of these parameters are elaborated dependent on the characteristic if the parameter is continuously or discretely variable. The resulting LCI model construct makes this most influencing parameters customizable in an automated LCA. A generic method for the design of such an LCI model construct based on the findings of the use case was derived in this paper. The application of this methodology is not limited for vehicle's LCAs and carbon footprint, but other complex products and impact categories to enable efficient, consistent, and accurate LCA results for complex products.

全球变暖是一个全球性的严峻挑战，汽车制造商承诺减少他们的碳足迹。必须评估当前和未来车辆的碳足迹，以实现这些自行设定和量化的目标。生命周期评估 (LCA) 是一种标准化和科学认可的方法，用于量化产品或公司的环境影响。由于车辆从摇篮到大门阶段的复杂性，LCA 自动化是一种合适的简化策略，方法是导入产品信息并自动将它们分配给预定义的生命周期库存 (LCI) 模型。数据采集​​是一个公认的问题，但 LCI 建模在自动化 LCA 的文献中几乎没有讨论，尽管它对其准确性有重大影响。本文提出了一种详细说明 LCI 模型构造的方法，该模型构造能够实现一致且高效的自动化 LCA，同时保持商业 LCA 软件中定义的准确性和适用性。本文介绍了这种 LCI 模型构造及其推导，用于考虑板材部件、铸造部件和挤压型材的汽车铝部件。精确计算必须考虑影响最大的参数。如果参数是连续变量或离散变量，则这些参数中的每一个的网格点都根据特性进行详细说明。由此产生的 LCI 模型结构使这个最具影响力的参数可以在自动化 LCA 中进行定制。本文推导了一种基于用例发现设计这种 LCI 模型构造的通用方法。该方法的应用不仅限于车辆的 LCA 和碳足迹，还包括其他复杂产品和影响类别，以实现复杂产品的高效、一致和准确的 LCA 结果。