%0 Journal Article %1 journals/imds/QinLLNJ20 %A Qin, Wei %A Lv, Huichun %A Liu, Chengliang %A Nirmalya, Datta %A Jahanshahi, Peyman %D 2020 %J Ind. Manag. Data Syst. %K dblp %N 2 %P 312-328 %T Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network. %U http://dblp.uni-trier.de/db/journals/imds/imds120.html#QinLLNJ20 %V 120

@article{journals/imds/QinLLNJ20, added-at = {2020-04-25T00:00:00.000+0200}, author = {Qin, Wei and Lv, Huichun and Liu, Chengliang and Nirmalya, Datta and Jahanshahi, Peyman}, biburl = {https://www.bibsonomy.org/bibtex/29a55fb5414706841998a4fcfd84fa1b5/dblp}, ee = {https://doi.org/10.1108/IMDS-03-2019-0195}, interhash = {04d70b169ba1565149ab316fc26d8f4e}, intrahash = {9a55fb5414706841998a4fcfd84fa1b5}, journal = {Ind. Manag. Data Syst.}, keywords = {dblp}, number = 2, pages = {312-328}, timestamp = {2020-04-28T12:06:58.000+0200}, title = {Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network.}, url = {http://dblp.uni-trier.de/db/journals/imds/imds120.html#QinLLNJ20}, volume = 120, year = 2020 }