000			02250 a2200397 4500
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005			20251118142723.0
006			m |o d |
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008			240513s2024 flu ob 000 0 eng
010			_a 2024001287
020			_a9781032367903
035			_a23700196
040			_aDLC _beng _cDLC _erda
042			_apcc
050	0	0	_aTK 2945 .M85
082	0	0	_a629.25/42 _223/eng/20240520
100	1		_aWang, Shunli (editor) _d1985- _eauthor.
245	1	0	_aMultidimensional Lithium-Ion Battery Status Monitoring / _cShunli Wang et.al
263			_a2406
264		1	_aBoca Raton, FL : _bCRC Press, _c2023.
300			_axvi, 338p. ill
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490			_aEmerging Materials and Technologies
504			_aIncludes bibliographical references.
520			_a"This book aims to evaluate and improve the state of charge (SOC) and state of health (SOH) of automotive lithium-ion batteries. The authors first introduce the basic working principle and dynamic test characteristics of lithium-ion batteries. They present the dynamic transfer model, compare it with the traditional second-order reserve capacity (RC) model, and demonstrate the advantages of the proposed new model. In addition, they propose the chaotic firefly optimization algorithm and demonstrate its effectiveness in improving the accuracy of SOC and SOH estimation through theoretical and experimental analysis. The book will benefit researchers and engineers in the new energy industry, and provide students of science and engineering with some innovative aspects of battery modeling"-- _cProvided by publisher.
588			_aDescription based on print version record and CIP data provided by publisher; resource not viewed.
650		0	_aLithium ion batteries _xMathematical models.
776	0	8	_iPrint version: _aWang, Shunli, 1985- _tModeling and state estimation of automotive lithium-ion batteries _bFirst edition. _dBoca Raton, FL : CRC Press, 2024 _z9781032777917 _w(DLC) 2024001286
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c43992 _d43992