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Efficient models configuration for an electric vehicle energy management software

Borjan Tchakaloff 1, 2 Sébastien Saudrais 1 Jean-Philippe Babau 2
2 Lab-STICC_UBO_CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance, UBO - Université de Brest
Abstract : Energy management of electric vehicles has been the focus of recent research to allow optimal engine and battery usage. Many efforts have been realised to use the trip knowledge - or a prediction of it - to provide the best vehicle efficiency. Yet few works take into account the embedded devices and the vehicle global Quality of Service. The ORQA framework has a vehicle systemic approach, its purpose is to generate an architecture to counter the range anxiety and offer the best quality effort based on the driver preferences. The work described in this paper is about the off-line configuration of the ORQA framework to match a target vehicle characteristics and abilities. With a more precise configuration, the on-line execution of ORQA is optimised. Two leads are presented to reduce the computation time needed to explore the solution space on-line. The final result is an energy management software tuned for a specific targeted vehicle which offers a driving strategy and a control of the embedded devices matching the driver destination and preferences.
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https://hal.univ-brest.fr/hal-01001566
Contributor : Borjan Tchakaloff <>
Submitted on : Wednesday, June 4, 2014 - 3:51:07 PM
Last modification on : Tuesday, September 8, 2020 - 2:54:01 PM
Long-term archiving on: : Thursday, September 4, 2014 - 12:26:09 PM

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Borjan Tchakaloff, Sébastien Saudrais, Jean-Philippe Babau. Efficient models configuration for an electric vehicle energy management software. Euromicro Conference series on Software Engineering and Advanced Applications (SEAA), Aug 2014, Verona, Italy. pp.Pages 48-55, ⟨10.1109/SEAA.2014.80⟩. ⟨hal-01001566⟩

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