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Modeling, Simulation, and Analysis for Battery Electric Vehicles

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Machine Learning and Systems Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 68))

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Abstract

Steady state and dynamic vehicle models are derived for analyses of requirements on motors and batteries for battery electric vehicles. Vehicle level performance requirements such as driving range, maximum cruise speed, maximum gradeability, and maximum acceleration are used to analyze the requirements on motors and batteries including motor power and torque, battery weight and specific energy. MATLAB simulation tools are developed to allow validation of these vehicle level performance requirements for a given set of motor/battery.

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Author information

Authors and Affiliations

  1. Department of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, TX, 77843-3367, USA

    Wei Zhan

Authors
  1. Wei Zhan
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  2. Make McDermott
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  3. Behbood Zoghi
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  4. Muhammad Hasan
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Corresponding author

Correspondence to Wei Zhan .

Editor information

Editors and Affiliations

  1. , Unit 1, 1/F, International Association of Engineers, Hung To Road 37-39, Hong Kong, Hong Kong/PR China

    Sio-Iong Ao

  2. Inst.Computerlinguistik, Abt. Linguistische Datenverarbeitung, Universität Trier, Trier, 54286, Germany

    Burghard Rieger

  3. Dept. Chemical Engineering, California State University, Long Beach, 90840, California, USA

    Mahyar A. Amouzegar

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Zhan, W., McDermott, M., Zoghi, B., Hasan, M. (2010). Modeling, Simulation, and Analysis for Battery Electric Vehicles. In: Ao, SI., Rieger, B., Amouzegar, M. (eds) Machine Learning and Systems Engineering. Lecture Notes in Electrical Engineering, vol 68. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9419-3_18

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  • DOI: https://doi.org/10.1007/978-90-481-9419-3_18

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9418-6

  • Online ISBN: 978-90-481-9419-3

  • eBook Packages: EngineeringEngineering (R0)

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