Abstract
The production of lithium-ion batteries (LIBs) is characterized by the high level of complexity and uncertainty, thus a key performance indicator (KPI) system is needed to monitor and control this process. However, up to this point, the existing KPI system based on process capability indices (PCIs) is only applicable to large amounts of production data. Therefore, the prototype production stage at the beginning of ramp-up still needs to be considered separately, as there is not enough production data available to estimate the PCIs via traditional approaches during this period. This paper builds a KPI system for the prototype production stage based on the Bayesian estimation of and the method of adding dummy samples. At the end of this paper, an example is provided as an application result of the KPI system.
Original language | English |
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Pages (from-to) | 526-530 |
Number of pages | 5 |
Journal | Procedia CIRP |
Volume | 99 |
DOIs | |
State | Published - 2021 |
Externally published | Yes |
Event | 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2020 - Naples, Italy Duration: 15 Jul 2020 → 17 Jul 2020 |
Keywords
- Bayesian estimation
- C
- Dummy sample
- KPI system
- Lithium-ion battery
- Process capability
- Small sample sizes