TY - JOUR
T1 - A multivariate KPI-based method for quality assurance in lithium-ion-battery production
AU - Kornas, T.
AU - Knak, E.
AU - Daub, R.
AU - Bührer, U.
AU - Lienemann, C.
AU - Heimes, H.
AU - Kampker, A.
AU - Thiede, S.
AU - Herrmann, C.
N1 - Conference code: 52
PY - 2019
Y1 - 2019
N2 - The development of lithium-ion batteries (LIBs) is facing challenges due to the high level of uncertainty in cause-effect-relationships (CERs) in the manufacturing process. This process is characterized as an interlinked chain of input, intermediate and quality properties, which determine the quality of LIBs. In order to reduce the ramp-up time for LIB production plants, an understanding of influencing properties must be established. Existing methods to investigate these properties are usually expert-based or assess individual process steps. Thus, this paper presents a method, which utilizes multivariate process capability indices for the identification of CERs and quality assurance in the field of LIB production. This data-driven approach was applied to and evaluated on the production data of the prototype line for prismatic LIBs at the BMW Group in Munich.
AB - The development of lithium-ion batteries (LIBs) is facing challenges due to the high level of uncertainty in cause-effect-relationships (CERs) in the manufacturing process. This process is characterized as an interlinked chain of input, intermediate and quality properties, which determine the quality of LIBs. In order to reduce the ramp-up time for LIB production plants, an understanding of influencing properties must be established. Existing methods to investigate these properties are usually expert-based or assess individual process steps. Thus, this paper presents a method, which utilizes multivariate process capability indices for the identification of CERs and quality assurance in the field of LIB production. This data-driven approach was applied to and evaluated on the production data of the prototype line for prismatic LIBs at the BMW Group in Munich.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85068459158&partnerID=MN8TOARS
U2 - 10.1016/j.procir.2019.03.014
DO - 10.1016/j.procir.2019.03.014
M3 - Conference article
VL - 81
SP - 75
EP - 80
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 52nd CIRP Conference on Manufacturing Systems, CIRP CMS 2019
Y2 - 12 June 2019 through 14 June 2019
ER -