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Published in: ATZ worldwide 9/2019

01-09-2019 | Research

Flexible Range Prediction for the Energy Management of Electric Vehicles

Author: Christoph Simonis

Published in: ATZ worldwide | Issue 9/2019

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Excerpt

For electric vehicles a precise, route-specific range prediction is mandatory to increase the amount of destinations reachable with high reliability. A calculation concept developed at the IAV GmbH comprises a data-based model for range prediction, which takes interactive effects between environmental, route, vehicle and driver-specific influences into account. The driver behavior was considered through lazy learning of the relationships between driver characteristics and environment, route and vehicle, followed by a subsequent prediction step. The predicted energy demand can afterwards be used as an input for a subsequent operation strategy, which could increase the vehicles range. The concept presented in this article could improve the user acceptance of future battery electric vehicles. It was honored with the IAV Talent Award in the category "Hermann Appel" in 2018. …

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Metadata
Title
Flexible Range Prediction for the Energy Management of Electric Vehicles
Author
Christoph Simonis
Publication date
01-09-2019
Publisher
Springer Fachmedien Wiesbaden
Published in
ATZ worldwide / Issue 9/2019
Electronic ISSN: 2192-9076
DOI
https://doi.org/10.1007/s38311-019-0100-9

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