02734cam a22005298i 4500 9781003486251 FlBoTFG 20251030122253.0 m o d cr ||||||||||| 240513s2024 flu ob 000 0 eng OCoLC-P eng rda OCoLC-P 9781003486251 (ebook) 1003486258 9781040046753 (electronic bk. : PDF) 1040046754 (electronic bk. : PDF) 9781040046791 (electronic bk. : EPUB) 1040046797 (electronic bk. : EPUB) 9781032777917 (hardback) 9781032781150 (paperback) 10.1201/9781003486251 doi (OCoLC)1434573208 (OCoLC-P)1434573208 TK2945.L58 SCI 013100 bisacsh SCI 024000 bisacsh TEC 009090 bisacsh TDCB bicssc Wang, Shunli, 1985- author. 95085 Modeling and state estimation of automotive lithium-ion batteries / Shunli Wang [and 4 others]. First edition. Boca Raton, FL : CRC Press, 2024. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier "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"-- Provided by publisher. OCLC-licensed vendor bibliographic record. Lithium ion batteries Mathematical models. 95086 SCIENCE / Energy bisacsh 64209 TECHNOLOGY / Engineering / Automotive bisacsh 93819 Taylor & Francis https://www.taylorfrancis.com/books/9781003486251 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf E-Books 67967 67967