Paper Info
Title
Energy-efficient torque distribution for axle-individually propelled electric vehicles
Abstract
We propose a novel operation strategy for electric vehicles with axle-individual electric machines to improve their energy efficiency in typical driving situations. The developed algorithm is allocating a total torque requested by a velocity controlling system or the driver to the electric machines such that the energy loss is reduced compared to an equal distribution. By taking near-future forecasts into account, the predictive nature of the algorithm leads to a minimized number of clutching processes compared to previous work and thereby contributes to increased comfort and minimized component wear. Overall, an average reduction of up to 25% in the electric machine losses can be achieved for the ARTEMIS driving cycles. At the same time, a reduction of the clutching operations by 70% is possible due to the forecast, compared to algorithms only considering the momentary state.
Year
DOI
Venue
2014
10.1109/IVS.2014.6856499
Intelligent Vehicles Symposium
Keywords
Field
DocType
dynamic programming,electric vehicles,energy conservation,simulated annealing,torque control,velocity control,ARTEMIS driving cycle,axle-individual electric machines,axle-individually propelled electric vehicles,clutching process,driving situation,energy efficiency,energy loss,energy-efficient torque distribution,velocity control system
Energy loss,Automotive engineering,Stall torque,Torque,Torque distribution,Efficient energy use,Electric machine,Direct torque control,Engineering,Axle
Conference
ISSN
Citations 
PageRank 
1931-0587
2
0.53
References 
Authors
8
4
Name
Order
Citations
PageRank
Stefan Koehler131.27
Alexander Viehl218125.01
Oliver Bringmann358671.36
Wolfgang Rosenstiel41462212.32