%0 Conference Paper %1 conf/ccta/PozziMT22 %A Pozzi, Andrea %A Moura, Scott J. %A Toti, Daniele %B CCTA %D 2022 %I IEEE %K dblp %P 785-790 %T Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics. %U http://dblp.uni-trier.de/db/conf/ccta/ccta2022.html#PozziMT22 %@ 978-1-6654-7338-5

@inproceedings{conf/ccta/PozziMT22, added-at = {2022-12-20T00:00:00.000+0100}, author = {Pozzi, Andrea and Moura, Scott J. and Toti, Daniele}, biburl = {https://www.bibsonomy.org/bibtex/23ee7125b70ec45fa3a8195c1560073ca/dblp}, booktitle = {CCTA}, crossref = {conf/ccta/2022}, ee = {https://doi.org/10.1109/CCTA49430.2022.9966149}, interhash = {d6609047588c0ad8abe9dcec1b802304}, intrahash = {3ee7125b70ec45fa3a8195c1560073ca}, isbn = {978-1-6654-7338-5}, keywords = {dblp}, pages = {785-790}, publisher = {IEEE}, timestamp = {2024-04-09T12:30:02.000+0200}, title = {Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics.}, url = {http://dblp.uni-trier.de/db/conf/ccta/ccta2022.html#PozziMT22}, year = 2022 }