Verbundprojekt "Schlüsseltechnologien für die nächste Generation der Elektrofahrzeuge (e-generation)" : Teilvorhaben KIT: "Assistenzsysteme für effizienten Energieeinsatz bei Elektrofahrzeugen" : Schlussbericht : Laufzeit des Vorhabens: 01.02.2012-31.12.2014

Dörr, Dominik; Fath, Björn; Bleimund, Felix; Frey, Michael

doi:10.2314/gbv:86364080x

2015

DOI: 10.2314/gbv:86364080x

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Verbundprojekt "Schlüsseltechnologien für die nächste Generation der Elektrofahrzeuge (e-generation)" : Teilvorhaben KIT: "Assistenzsysteme für effizienten Energieeinsatz bei Elektrofahrzeugen" : Schlussbericht : Laufzeit des Vorhabens: 01.02.2012-31.12.2014

Dominik Dörr¹,

Björn Fath²,

Felix Bleimund³

et al.

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Automated Longitudinal Control Based on Nonlinear Recursive B-Spline Approximation for Battery Electric Vehicles

Jauch

Bleimund

Frey

et al. 2019

WEVJ

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This works presents a driver assistance system for energy-efficient ALC of a BEV. The ALC calculates a temporal velocity trajectory from map data. The trajectory is represented by a cubic B-spline function and results from an optimization problem with respect to travel time, driving comfort and energy consumption. For the energetic optimization we propose an adaptive model of the required electrical traction power. The simple power train of a BEV allows the formulation of constraints as soft constraints. This leads to an unconstrained optimization problem that can be solved with iterative filter-based data approximation algorithms. The result is a direct trajectory optimization method of which the effort grows linearly with the trajectory length, as opposed to exponentially as with most other direct methods. We evaluate ALC in real test drives with a BEV. We also investigate the energy-saving potential in driving simulations with ALC compared to MLC. On the chosen reference route the ALC saves up to 3.4% energy compared to MLC at same average velocity, and achieves a 2.6% higher average velocity than MLC at the same energy consumption.

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Automated Longitudinal Control Based on Nonlinear Recursive B-Spline Approximation for Battery Electric Vehicles

Jauch

Bleimund

Frey

et al. 2019

WEVJ

Self Cite

View full text Add to dashboard Cite

show abstract

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Verbundprojekt "Schlüsseltechnologien für die nächste Generation der Elektrofahrzeuge (e-generation)" : Teilvorhaben KIT: "Assistenzsysteme für effizienten Energieeinsatz bei Elektrofahrzeugen" : Schlussbericht : Laufzeit des Vorhabens: 01.02.2012-31.12.2014

Cited by 1 publication

References 0 publications

Automated Longitudinal Control Based on Nonlinear Recursive B-Spline Approximation for Battery Electric Vehicles

Automated Longitudinal Control Based on Nonlinear Recursive B-Spline Approximation for Battery Electric Vehicles

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