Advanced Battery Management System for Electric Vehicles / by Shichun Yang, Xinhua Liu, Shen Li, Cheng Zhang

By:

Yang, Shichun [VerfasserIn]

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Key Technologies on New Energy VehiclesPublisher: Singapore : Springer Nature Singapore, 2023Publisher: Singapore : Imprint: Springer, 2023Edition: 1st ed. 2023Description: 1 Online-Ressource(XXII, 313 p. 165 illus., 112 illus. in color.)ISBN:

9789811934902

Subject(s):

Additional physical formats: 9789811934896 | 9789811934919 | 9789811934926 | Erscheint auch als: 9789811934896 Druck-Ausgabe | Erscheint auch als: 9789811934919 Druck-Ausgabe | Erscheint auch als: 9789811934926 Druck-AusgabeDOI: DOI: 10.1007/978-981-19-3490-2Online resources:

Summary: Electric vehicle -- EV power battery -- Key technologies of BMS -- Battery model -- SOC estimation -- SOH estimation.Summary: The battery management system (BMS) optimizes the efficiency of batteries under allowable conditions and prevents serious failure modes. This book focuses on critical BMS techniques, such as battery modeling; estimation methods for state of charge, state of power and state of health; battery charging strategies; active and passive balancing methods; and thermal management strategies during the entire lifecycle. It also introduces functional safety and security-related design for BMS, and discusses potential future technologies, like digital twin technology.PPN: PPN: 1817572547Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-ENG | ZDB-2-SXE | BSZ-2-SN-Auswahl

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