Improving temperature predictions for Li-ion batteries: data assimilation with a stochastic extension of a physically-based, thermo-electrochemical model
%0 Journal Article
%1 mehne2017improving
%A Mehne, J.
%A Nowak, W.
%D 2017
%I Elsevier
%J Journal of Energy Storage
%K EXC310
%P 288--296
%R 10.1016/j.est.2017.05.013
%T Improving temperature predictions for Li-ion batteries: data assimilation with a stochastic extension of a physically-based, thermo-electrochemical model
%U http://doi.org/10.1016/j.est.2017.05.013
%V 12
@article{mehne2017improving,
added-at = {2020-05-29T17:10:35.000+0200},
author = {Mehne, J. and Nowak, W.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/26179b90ca0b6e604b4a07f5d96a255fb/simtech},
doi = {10.1016/j.est.2017.05.013},
interhash = {d6d22bdf5e7f5fd6702f6aa00b10c8ba},
intrahash = {6179b90ca0b6e604b4a07f5d96a255fb},
journal = {Journal of Energy Storage},
keywords = {EXC310},
pages = {288--296},
publisher = {Elsevier},
timestamp = {2023-07-31T05:48:14.000+0200},
title = {Improving temperature predictions for Li-ion batteries: data assimilation with a stochastic extension of a physically-based, thermo-electrochemical model},
url = {http://doi.org/10.1016/j.est.2017.05.013},
volume = 12,
year = 2017
}
