Advanced driver assistance system for optimized recuperation under consideration of parameter uncertainties

This document proposes a new strategy for decelerating a battery electric vehicle from an initial velocity to a final velocity with optimized recuperation of kinetic excess energy. Thereby, we demonstrate a possibility to increase the efficiency - and hence range - without altering the powertrain. T...

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Bibliographic Details
Main Authors: Koehler, Stefan, Viehl, Alexander, Bringmann, Oliver, Rosenstiel, Wolfgang
Format: Conference Proceeding
Language:English
Subjects:
Force
Mathematical model
Roads
Torque
Trajectory
Vehicles
Wind speed
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Summary:This document proposes a new strategy for decelerating a battery electric vehicle from an initial velocity to a final velocity with optimized recuperation of kinetic excess energy. Thereby, we demonstrate a possibility to increase the efficiency - and hence range - without altering the powertrain. The algorithm is implemented in an advanced driver assistance system to guide the driver and - given he accepts the hints - leads to an energy-optimized deceleration trajectory. A situation-adaptive online estimation of influencing parameters, which are not measurable during the drive, is presented. The knowledge of these parameters allows an accurate operation of the proposed functionality. Simulations show an increased energy regeneration of up to 34% for an exemplary vehicle and typical road segments.
ISSN:1931-0587
2642-7214
DOI:10.1109/IVS.2013.6629555