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John Bergström
John Bergström
Attribute Leader, PhD in Fluid Mechanics, CEVT, Sweden
Verifierad e-postadress på cevt.se - Startsida
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A machine learning-based framework for online prediction of battery ageing trajectory and lifetime using histogram data
CZ Yizhou Zhang, Torsten Wik, John Bergström, Michael Pecht
Journal of Power Sources 526, 2022
702022
Estimation of numerical accuracy for the flow field in a draft tube
J Bergström, R Gebart
International Journal of Numerical Methods for Heat & Fluid Flow 9 (4), 472-487, 1999
511999
Approximations of numerical errors and boundary conditions in a draft tube
J Bergström
Turbine-99 (Workshop): 20/06/1999-23/06/1999, 2000
152000
State of health estimation for lithium-ion batteries under arbitrary usage using data-driven multi-model fusion
Y Zhang, T Wik, J Bergström, C Zou
IEEE Transactions on Transportation Electrification, 2023
132023
Turbulence modeling and numerical accuracy for the simulation of the flow field in a curved channel
J Bergström
ASME Fluid Engineering Division Summer Meeting: 22/06/1997-26/06/1997, 1997
81997
Modeling and numerical simulation of hydro power flows
J Bergström
Luleå tekniska universitet, 2000
72000
Practical battery State of Health estimation using data-driven multi-model fusion
Y Zhang, T Wik, J Bergström, C Zou
IFAC-PapersOnLine 56 (2), 3776-3781, 2023
2023
Early prediction of battery life by learning from both time-series and histogram data
Y Zhang, T Wik, Y Huang, J Bergström, C Zou
IFAC-PapersOnLine 56 (2), 3770-3775, 2023
2023
Time-phase averaging for the approximate solution of the flow in a hydraulic turbine
J Bergström, R Gebart
ASME/JSME Joint Fluids Engineering Conference: 18/07/1999-23/07/1999, 1999
1999
An Approximate CFD method for the interaction between stationary and rotating parts in hydraulic turbines
J Bergström, R Gebart
IAHR Symposium Hydraulic Machinery and Cavitation: 09/09/1998-11/09/1998, 1998
1998
Numerical simulations of hydro power flows
J Bergström
Luleå tekniska universitet, 1998
1998
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Artiklar 1–11