book

Advanced Battery Management Technologies for Electric Vehicles

February 2019

Intermediate to advanced

400 pages

8h 58m

English

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Acknowledgments
1.1 Background1.2 Electric Vehicle Fundamentals1.3 Requirements for Battery Systems in Electric Vehicles1.4 Battery Systems1.5 Key Battery Management Technologies1.6 Battery Management Systems1.7 SummaryReferences
2.1 Background2.2 Electrochemical Models2.3 Black Box Models2.4 Equivalent Circuit Models2.5 Experiments2.6 Parameter Identification Methods2.7 Case Study2.8 Model Uncertainties2.9 Other Battery Models2.10 SummaryReferences
3.1 Background3.2 Classification3.3 Model‐Based SOC Estimation Method with Constant Model Parameters3.4 Model‐Based SOC Estimation Method with Identified Model Parameters in Real‐Time3.5 Model‐Based SOE Estimation Method with Identified Model Parameters in Real‐Time3.6 SummaryReferences
4.1 Background4.2 Experimental Methods4.3 Model‐Based Methods4.4 Joint Estimation Method4.5 Dual Estimation Method4.6 SummaryReferences

5.1 Background5.2 Instantaneous SOP Estimation Methods5.3 Continuous SOP Estimation Method5.4 SummaryReferences
6.1 Background6.2 Basic Terms for Evaluating Charging Performances6.3 Charging Algorithms for Li‐Ion Batteries6.4 Optimal Charging Current Profiles for Lithium‐Ion Batteries6.5 Lithium Titanate Oxide Battery with Extreme Fast Charging Capability6.6 SummaryReferences
7.1 Background7.2 Battery Sorting7.3 Battery Passive Balancing7.4 Battery Active Balancing7.5 Battery Active Balancing Systems7.6 SummaryReferences
8.1 Background8.2 Battery Management Systems8.3 Typical Structure of BMSs8.4 Representative Products8.5 Key Points of BMSs in Future Generation8.6 SummaryReferences

Bruno Scrosati, Jürgen Garche, Werner Tillmetz

Chitra A., S. Padmanaban, Jens Bo Holm-Nielsen, S. Himavathi

Amir Khajepour, M. Saber Fallah, Avesta Goodarzi

Chris Mi, M. Abul Masrur

ISBN: 9781119481645Purchase book