Global ETD Search

1	Kraftsensorlose Manipulator Kraftsteuerung zur Abtastung unbekannter, harter Oberflächen Dapper, Marcus. Unknown Date (has links) (PDF) Universiẗat, Diss., 2003--Bonn.
2	Analyse des stationären Folgeverhaltens von Pkw-Fahrzeugführern unter Berücksichtigung von Nässe und einhergehender Sichtbehinderung Fecher, Norbert. Unknown Date (has links) (PDF) Darmstadt, Techn. Universiẗat, Diss., 2005.
3	Analyse des stationären Folgeverhaltens von Pkw-Fahrzeugführen unter Berücksichtigung von Nässe und einer einhergehender Sichtbehinderung Fecher, Norbert January 2005 (has links) (PDF) Zugl.: Darmstadt, Techn. Univ., Diss.
4	Untersuchung stationärer Betriebsgröen des Drehstromasynchron-Linearmotors für Synchrongeschwindigkeiten unter 3m/s Kleemann, Dietmar. Unknown Date (has links) (PDF) Techn. Universiẗat, Diss., 2005--Berlin.
5	Optimal Velocity and Power Split Control of Hybrid Electric Vehicles Uebel, Stephan, Bäker, Bernard 03 March 2017 (has links) (PDF) An assessment study of a novel approach is presented that combines discrete state-space Dynamic Programming and Pontryagin’s Maximum Principle for online optimal control of hybrid electric vehicles (HEV). In addition to electric energy storage and gear, kinetic energy and travel time are considered states in this paper. After presenting the corresponding model using a parallel HEV as an example, a benchmark method with Dynamic Programming is introduced which is used to show the solution quality of the novel approach. It is illustrated that the proposed method yields a close-to-optimal solution by solving the optimal control problem over one hundred thousand times faster than the benchmark method. Finally, a potential online usage is assessed by comparing solution quality and calculation time with regard to the quantization of the state space. Optimalsteuerung Pontrjagins Maximumprinzip Dynamische Programmierung Geschwindigkeitsregelung Hybridfahrzeug Energiemanagement Optimal control Pontryagin’s Maximum Principle Dynamic programming velocity control hybrid vehicles energy management ddc:380 rvk:ZO 4490 rvk:ZO 5050
6	Optimal Velocity and Power Split Control of Hybrid Electric Vehicles Uebel, Stephan, Bäker, Bernard 03 March 2017 (has links) An assessment study of a novel approach is presented that combines discrete state-space Dynamic Programming and Pontryagin’s Maximum Principle for online optimal control of hybrid electric vehicles (HEV). In addition to electric energy storage and gear, kinetic energy and travel time are considered states in this paper. After presenting the corresponding model using a parallel HEV as an example, a benchmark method with Dynamic Programming is introduced which is used to show the solution quality of the novel approach. It is illustrated that the proposed method yields a close-to-optimal solution by solving the optimal control problem over one hundred thousand times faster than the benchmark method. Finally, a potential online usage is assessed by comparing solution quality and calculation time with regard to the quantization of the state space. info:eu-repo/classification/ddc/380 ddc:380

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