TY  - PAT
A1  - Pischinger, Martin
A1  - Esch, Thomas
A1  - Duesmann, Klaus
T1  - Elektromagnetischer Aktuator mit gelenkig abgestützter Rückstellfeder
N2  - Die Erfindung betrifft einen elektromagnetischen Aktuator zur Betätigung eines Stellgliedes (7) mit wenigstens einem gesteuert bestrombaren Elektromagneten (1, 2) und einem mit dem Stellglied (7) in Wirkverbindung stehenden Anker (5), der bei Bestromung des Elektromagneten (1, 2) gegen die Kraft wenigstens einer an einem Gehäuse (12) abgestützten Rückstellfeder (10) an der Polfläche (3, 4) des Elektromagneten (1, 2) zur Anlage kommt, und daß zumindest der Anker (5) über eine sphärische Gelenkanordnung (11) auf der Rückstellfeder (10) abgestützt ist.
Y1  - 2023
N1  - Patent DE000019822907B4 2006.07.27
ER  - 
TY  - CHAP
A1  - Huth, Thomas
A1  - Elsen, Olaf
A1  - Hartwig, Christoph
A1  - Esch, Thomas
T1  - Innovative modular valve trains for 2015 - logistic benefits by EMVT
T2  - IFAC Proceedings Volumes, Volume 39, Issue 3
N2  - In this paper the way to a 5-day-car with respect to a modular valve train systems for spark ignited combustion engines is shown. The necessary product diversity is shift from mechanical or physical components to software components. Therefore, significant improvements of logistic indicators are expected and shown. The working principle of a camless cylinder head with respect to an electromagnetical valve train (EMVT) is explained and it is demonstrated that shifting physical diversity to software is feasible. The future design of combustion engine systems including customisation can be supported by a set of assistance tools which is shown exemplary.
Y1  - 2006
U6  - http://dx.doi.org/10.3182/20060517-3-FR-2903.00172
N1  - Part of special issue "12th IFAC Symposium on Information Control Problems in Manufacturing"
SP  - 315
EP  - 320
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Funke, Harald
A1  - Esch, Thomas
A1  - Roosen, Petra
T1  - Antriebssystemanpassungen zur Verwendung von LPG als Flugkraftstoff
JF  - Motortechnische Zeitschrift (MTZ)
N2  - Auch in der allgemeinen Luftfahrt wäre es wünschenswert, die bereits vorhandenen Verbrennungsmotoren mit weniger CO₂-trächtigen Kraftstoffen als dem heute weit verbreiteten Avgas 100LL betreiben zu können. Es ist anzunehmen, dass im Vergleich die unter Normalbedingungen gasförmigen Kraftstoffe CNG, LPG oder LNG deutlich weniger Emissionen produzieren. Erforderliche Antriebssystemanpassungen wurden im Rahmen eines Forschungsprojekts an der FH Aachen untersucht.
Y1  - 2022
U6  - http://dx.doi.org/10.1007/s35146-021-0778-2
VL  - 2022
IS  - 83
SP  - 58
EP  - 62
PB  - Springer Nature
CY  - Basel
ER  - 
TY  - JOUR
A1  - Fayyazi, Mojgan
A1  - Sardar, Paramjotsingh
A1  - Thomas, Sumit Infent
A1  - Daghigh, Roonak
A1  - Jamali, Ali
A1  - Esch, Thomas
A1  - Kemper, Hans
A1  - Langari, Reza
A1  - Khayyam, Hamid
T1  - Artificial intelligence/machine learning in energy management systems, control, and optimization of hydrogen fuel cell vehicles
N2  - Environmental emissions, global warming, and energy-related concerns have accelerated the advancements in conventional vehicles that primarily use internal combustion engines. Among the existing technologies, hydrogen fuel cell electric vehicles and fuel cell hybrid electric vehicles may have minimal contributions to greenhouse gas emissions and thus are the prime choices for environmental concerns. However, energy management in fuel cell electric vehicles and fuel cell hybrid electric vehicles is a major challenge. Appropriate control strategies should be used for effective energy management in these vehicles. On the other hand, there has been significant progress in artificial intelligence, machine learning, and designing data-driven intelligent controllers. These techniques have found much attention within the community, and state-of-the-art energy management technologies have been developed based on them. This manuscript reviews the application of machine learning and intelligent controllers for prediction, control, energy management, and vehicle to everything (V2X) in hydrogen fuel cell vehicles. The effectiveness of data-driven control and optimization systems are investigated to evolve, classify, and compare, and future trends and directions for sustainability are discussed.
KW  - optimization system
KW  - intelligent control
KW  - fuel cell vehicle
KW  - machine learning
KW  - artificial intelligence
KW  - intelligent energy management
Y1  - 2023
U6  - http://dx.doi.org/10.3390/su15065249
N1  - This article belongs to the Special Issue "Circular Economy and Artificial Intelligence"
VL  - 15
IS  - 6
SP  - 38
PB  - MDPI
CY  - Basel
ER  -