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Driving situation and driving style dependent charging strategy in hybrid electric vehicles

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Abstract

Adaptive and situation-dependent charging strategies of batteries in hybrid electric vehicles aim to resolve the conflict between high efficiency and optimal driving performance. By using inputs from devices such as navigation system, radar and camera, as well as from standard sensors, driving situations challenging the electrical energy storage device are identified and predicted in real time, onboard the vehicle. BMW provides an overview of energy potentials of such adaptive energy functions and presents a method for driving situation classification using fuzzy probabilistic networks.

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Authors and Affiliations

  1. BMW AG, Munich, Germany

    Andreas Wilde (PhD aspirant and project leader for Adaptive Energy Management) &  Jörg Schneider (PhD aspirant)

  2. Technical University of Munich, Munich, Germany

    Hans-Georg Herzog (leader of the Institute of Energy Conversion Technology)

Authors
  1. Andreas Wilde
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  2. Jörg Schneider
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  3. Hans-Georg Herzog
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Wilde, A., Schneider, J. & Herzog, HG. Driving situation and driving style dependent charging strategy in hybrid electric vehicles. ATZ Worldw 110, 18–24 (2008). https://doi.org/10.1007/BF03225005

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  • DOI: https://doi.org/10.1007/BF03225005

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