Beam pre-shaping methods using lenslet arrays for area-based high-resolution vehicle headlamp systems

Downloadstatistik des Dokuments (Auswertung nach COUNTER):

Li, Y.; Knöchelmann, M.; Lachmayer, R.: Beam pre-shaping methods using lenslet arrays for area-based high-resolution vehicle headlamp systems. In: Applied Sciences (Switzerland) 10 (2020), Nr. 13, 4569. DOI: https://doi.org/10.3390/app10134569

Version im Repositorium

Zum Zitieren der Version im Repositorium verwenden Sie bitte diesen DOI: https://doi.org/10.15488/10615

Zeitraum, für den die Download-Zahlen angezeigt werden:

Jahr: 
Monat: 

Summe der Downloads: 160




Kleine Vorschau
Zusammenfassung: 
High-resolution light distributions are lately in demand for vehicle headlamp systems as an innovative lighting approach. This lighting approach can realize functionalities, such as precise glare avoidance and on-road projection, which are useful for improving traffic comfort and safety. For achieving the required high-resolution light distribution, area-based projection technologies, such as DMD, LCD, and LCoS, are considered to be integrated into such headlamps. These projection devices demand rectangular illumination areas with specific light distributions to fulfill the requirements for illumination efficiency and performance in headlamp systems. Lenslet arrays, based on the principle of Kohler illumination, can effectively homogenize the light and shape it into rectangular shapes simultaneously. Such components are widely used in projection applications. However, they also show functional potentialities to be applied in high-resolution headlamps. This paper explains the design principles and methods of lenslet arrays for beam pre-shaping in headlamp systems. It validates the homogenization using a self-designed and manufactured lenslet array in a demonstrator in the first place. Afterward, this paper introduces two new methods for the centralized beam shaping required by some headlamps. These methods are validated by optical simulations.
Lizenzbestimmungen: CC BY 4.0 Unported
Publikationstyp: Article
Publikationsstatus: publishedVersion
Erstveröffentlichung: 2020
Die Publikation erscheint in Sammlung(en):Fakultät für Maschinenbau

Verteilung der Downloads über den gewählten Zeitraum:

Herkunft der Downloads nach Ländern:

Pos. Land Downloads
Anzahl Proz.
1 image of flag of Germany Germany 109 68,12%
2 image of flag of United States United States 20 12,50%
3 image of flag of China China 9 5,62%
4 image of flag of Korea, Republic of Korea, Republic of 6 3,75%
5 image of flag of No geo information available No geo information available 2 1,25%
6 image of flag of Russian Federation Russian Federation 2 1,25%
7 image of flag of India India 2 1,25%
8 image of flag of France France 2 1,25%
9 image of flag of Switzerland Switzerland 2 1,25%
10 image of flag of Vietnam Vietnam 1 0,62%
    andere 5 3,12%

Weitere Download-Zahlen und Ranglisten:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.