Mooseok Kwaka, Jinwoo Nama, Kyoungtaek Kwaka, Geunsoo Kima, Dongwook Choia, Jinsang Junga, Jungho Hana, Gwanhee Kanga, Kyeongjun Lima, Youngsoo Byunb, Jungmin Eumb, Michael H. Azarianc, and Namkyung Leec
aHyundai Motor Company, Hwaseong-si, 18280, Korea
bDaedong Door Hi-lex, Incheon-si, 21991, Korea
cCenter for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park 20742, USA
For more information about this article and related research, please contact Michael H. Azarian
Abstract:
In self-driving vehicles linked with mobility electrification, system failures that occur suddenly in situations where customers are unaware of signs of failure are directly related to customer injuries. Securing the durability and safety of closure automation system is necessary to increase the customer's safety value so PHM technology makes it possible to predict failures and remaining life in advance during system operation. In addition, since not only various forms of new concept design styling but also innovative new handle designs are applied, it is obviously seen that e-Latch system is widely equipped in the mobility. Thus, in this paper, the study to predict the failure of e-Latch and closure system is implemented via data-driven and physics-driven method, and the algorithm for PHM to estimate remaining life of e-Latch system is also introduced.
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