当前位置: X-MOL 学术Int. J. Prod. Econ. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Large-scale automotive battery cell manufacturing: Analyzing strategic and operational effects on manufacturing costs
International Journal of Production Economics ( IF 9.8 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.ijpe.2020.107982
Fabian Duffner , Lukas Mauler , Marc Wentker , Jens Leker , Martin Winter

Abstract Cost-efficient battery cell manufacturing is a topic of intense discussion in both industry and academia, as battery costs are crucial for the market success of electrical vehicles (EVs). Based on forecasted EV growth rates, battery cell manufacturers are investing billions of dollars in new battery cell plants. Whether these billion-dollar investments are economically viable depends on the materialization of forecasted EV growth rates and company-specific competitive market positions. For both, cost-efficient battery cell manufacturing is key for success. To ensure cost-efficient battery cell manufacturing, transparency is necessary regarding overall manufacturing costs, their cost drivers, and the monetary value of potential cost reductions. Driven by these requirements, a cost model for a large-scale battery cell factory is developed. The model relies on the process-based cost modelling technique (PBCM) and includes more than 250 parameters. Based on this cost model, directions are provided, how minimum costs can be achieved reflecting current and future state of technology. Further, it is outlined which process steps and cost elements have the greatest impact on total cost and should thus be focused within future cost reduction activities.

中文翻译:

大规模汽车电池制造:分析对制造成本的战略和运营影响

摘要 具有成本效益的电池制造是工业界和学术界激烈讨论的话题,因为电池成本对于电动汽车 (EV) 的市场成功至关重要。根据预测的电动汽车增长率,电池制造商正在向新电池工厂投资数十亿美元。这些数十亿美元的投资在经济上是否可行取决于预测的电动汽车增长率和公司特定的竞争市场地位的实现。对于两者而言,具有成本效益的电池制造是成功的关键。为了确保具有成本效益的电池单元制造,必须在总体制造成本、成本驱动因素和潜在成本降低的货币价值方面保持透明。在这些要求的驱动下,开发了大型电池芯工厂的成本模型。该模型依赖于基于流程的成本建模技术 (PBCM),包括 250 多个参数。基于此成本模型,提供了方向,说明如何实现最低成本,反映当前和未来的技术状态。此外,还概述了哪些流程步骤和成本要素对总成本影响最大,因此应在未来的成本降低活动中重点关注。
更新日期:2021-02-01
down
wechat
bug