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Li-Ion Battery Pack and Applications

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Rechargeable Batteries

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

An accurate battery pack model is of significant importance for electric-vehicle drivetrain design and simulation. It is not uncommon to see simple resistance battery models used in vehicle simulations or energy storage system simulations (Zhang et al. in Energy conversion congress and exposition, pp. 3270–3277, 2011; Chen et al. in International conference on electric information and control engineering, pp. 2601–2604, 2011) even involving fast dynamics in vehicle power delivery. In contrast to the view that vehicle system level simulation does not require highly accurate battery models (Tremblay et al. in IEEE vehicle power and propulsion conference, pp. 284–289, 2007), a high fidelity battery pack model is critical for the vehicle simulation because the drivetrain power management, the motor/generator control, AC/DC and DC/DC converter design and control, the battery pack state of power (SOP) management, etc. are highly dependent on the accurate prediction of the battery power and battery state of charge (SOC). This is true largely because of the dynamics of the battery current when a real-world battery electric vehicle (BEV), hybrid electric vehicle (HEV), or plug-in hybrid electric vehicle (PHEV) is modeled with realistic drive cycles. As a result, simple models are not capable of predicting the dynamic responses of the battery pack, which can limit the validity of the entire simulation, especially if controller performance is included.

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Acknowledgments

The authors acknowledge the contributions made by Dr. Jian Wei Li to this chapter while a graduate student at Mississippi State University prior to his employment in industry.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Mississippi State University, Box 9571, Mississippi, MS, 39762, USA

    Michael S. Mazzola & Masood Shahverdi

Authors
  1. Michael S. Mazzola
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  2. Masood Shahverdi
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Correspondence to Michael S. Mazzola .

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Editors and Affiliations

  1. Chemical Sciences and Engineering Division, Argonne National Laboratory, Argonne, Illinois, USA

    Zhengcheng Zhang

  2. Sensors and Electron Devices Directorate, U.S. Army Research Laboratory, Adelphi, Maryland, USA

    Sheng Shui Zhang

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Mazzola, M.S., Shahverdi, M. (2015). Li-Ion Battery Pack and Applications. In: Zhang, Z., Zhang, S. (eds) Rechargeable Batteries. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-15458-9_16

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  • DOI: https://doi.org/10.1007/978-3-319-15458-9_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15457-2

  • Online ISBN: 978-3-319-15458-9

  • eBook Packages: EnergyEnergy (R0)

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