000			01156nam a22002657a 4500
003			OSt
005			20250904151158.0
008			240426b ||||| |||| 00| 0 eng d
040			_c0
082			_aDPer 621.317 Ie21 November 2022 v. 37 n. 11
100			_aWang, Jianguo. _eauthor. _956737
245			_aA data-driven method with mode decomposition mechanism for remaining useful life prediction of lithium-ion batteries / _cJianguo Wang, Shude Zhang, Chenyu Li, Lifeng Wu, and Yingzhou Wang.
260			_aNew York ; _bThe Institute of Electrical and Electronics Engineers, Inc. , _cNovember 2022.
300			_aVolume 37, pages 13684-13695 : _billustration ; _c28 cm.
500			_aIEEE Transactions on Power Electronics, vol. 37, no. 11, pages 13684-13695, November 2022.
650		0	_aComputational modeling. _965880
650		0	_aLithium-ion batteries. _967233
650		0	_aPredictive models. _965892
700			_aWang, Jianguo. _eauthor. _956737
700			_aZhang, Shude. _eauthor. _956738
700			_aLi, Chenyu. _eauthor. _956739
700			_aWu, Lifeng. _eauthor. _956740
700			_aWang, Yingzhou. _eauthor. _956741
942			_2ddc _cPER
999			_c20171 _d20171