Modeling and Dynamics Control for Distributed Drive Electric Vehicles

Due to the improvements on electric motors and motor control technology, alternative vehicle power system layouts have been considered. One of the latest is known as distributed drive electric vehicles (DDEVs), which consist of four motors that are integrated into each drive and can be independently controllable. Such an innovative design provides packaging advantages, including short transmission chain, fast and accurate torque response, and so on. Based on these advantages and features, this book takes stability and energy-saving as cut-in points, and conducts investigations from the aspects of Vehicle State Estimation, Direct Yaw Moment Control (DYC), Control Allocation (CA). Moreover, lots of advanced algorithms, such as general regression neural network, adaptive sliding mode control-based optimization, as well as genetic algorithms, are applied for a better control performance.

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    • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2021. Dissertation Technische Universitaet Berlin, 2017.
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    Springer Vieweg

    Abraham-Lincoln-Straße 46
    Wiesbaden,   Germany  65189
  • Publication Date: 2021-1

Language

  • English

Media Info

  • Media Type: Digital/other
  • Pagination: 208p

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Filing Info

  • Accession Number: 01850979
  • Record Type: Publication
  • ISBN: 9783658322120
  • Files: TRIS
  • Created Date: Jun 30 2022 5:16PM