Papers by Ran Bao

Title:	A Modelica Library for Modelling of Electrified Powertrain Digital Twins
Authors:	Nikolaos Fotias, Ran Bao, Hui Niu, Michael Tiller, Paul McGahan and Adam Ingleby
Abstract:	In this paper, a Modelica library of electrified powertrain components is presented and its applications discussed. This library is used to construct digital twins of electrified powertrains during product development. These digital twins provide value by reducing time and cost by up to 30% compared to state-of-the-art approaches. Once products are in-service these same digital twins provide value by improving condition monitoring (state-of-health) by up to 10%. The library includes a multi-fidelity and multi-scale battery and power electronics sub-library, an Electrical Drive Unit (EDU) sub-library modelling different types of electrical machines, and an electrified propulsion system sub-library of template models that leverage the battery, power electronics and EDU components found in the other sub-libraries. Finally, an example of applying the proposed library to electrified vehicle development is presented.
Keywords:	Modelica, Digital Twins, Electrified Powertrain
Paper:	full paper
Bibtex:	@InProceedings{modelica.org:Fotias:2021, title = "{A Modelica Library for Modelling of Electrified Powertrain Digital Twins}", author = {Nikolaos Fotias and Ran Bao and Hui Niu and Michael Tiller and Paul McGahan and Adam Ingleby}, pages = {249--261}, doi = {10.3384/ecp21181249}, booktitle = {Proceedings of the 14th International Modelica Conference}, location = {Link\"oping, Sweden}, editor = {Martin Sj\"olund and Lena Buffoni and Adrian Pop and Lennart Ochel}, isbn = {978-91-7929-027-6}, issn = {1650-3740}, month = sep, series = {Link\"oping Electronic Conference Proceedings}, number = {181}, publisher = {Modelica Association and Link\"oping University Electronic Press}, year = {2021} }