國立虎尾科技大學 |

Modeling and state estimation of automotive lithium-ion batteries /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Modeling and state estimation of automotive lithium-ion batteries // Shunli Wang [and 4 others].
作者:	Wang, Shunli,
面頁冊數:	1 online resource
標題:	TECHNOLOGY / Engineering / Automotive -
電子資源:	https://www.taylorfrancis.com/books/9781003486251
電子資源:	http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ISBN:	9781003486251

Modeling and state estimation of automotive lithium-ion batteries /
Wang, Shunli,1985-

Modeling and state estimation of automotive lithium-ion batteries /Shunli Wang [and 4 others]. - First edition. - 1 online resource

"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"--

ISBN: 9781003486251

Standard No.: 10.1201/9781003486251doiSubjects--Topical Terms:

1450092
TECHNOLOGY / Engineering / Automotive

LC Class. No.: TK2945.L58

Dewey Class. No.: 629.25/42

Modeling and state estimation of automotive lithium-ion batteries /
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245 1 0 $a Modeling and state estimation of automotive lithium-ion batteries / $c Shunli Wang [and 4 others].
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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"-- $c Provided by publisher.
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