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  - https://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  - 
TY  - CHAP
A1  - Finger, Felix
T1  - Comparative Performance and Benefit Assessment of VTOL and CTOL UAVs
T2  - Deutscher Luft- und Raumfahrtkongress (DLRK) 2016, 13.-15.9.2016
Y1  - 2016
ER  - 
TY  - CHAP
A1  - Peeken, Heinz
A1  - Troeder, Christoph
A1  - Schmidt, J.
A1  - Rosenkranz, Josef
T1  - Principles of machine noise reduction
T2  - Inter-noise 85 : proceedings ; 1985 international conference on noise control engineering ; Munich, Sept. 18 - 20, 1985. - (Schriftenreihe der Bundesanstalt für Arbeitsschutz : Tagungsbericht ; 39)
Y1  - 1985
SN  - 3-88314-417-7
SP  - 23
EP  - 36
PB  - Bundesanstalt für Arbeitsschutz [u.a.]
CY  - Dortmund [u.a.]
ER  - 
TY  - JOUR
A1  - Esch, Thomas
T1  - Trends in commercial vehicle powertrains
JF  - ATZautotechnology
N2  - Low emission zones and truck bans, the rising price of diesel and increases in road tolls: all of these factors are putting serious pressure on the transport industry. Commercial vehicle manufacturers and their suppliers are in the process of identifying new solutions to these challenges as part of their efforts to meet the EEV (enhanced environmentally friendly vehicle) limits, which are currently the most robust European exhaust and emissions standards for trucks and buses.
KW  - European Transient Cycle
KW  - Common Rail Injection System
KW  - Commercial Vehicle
KW  - Selective Catalytic Reduction
KW  - Diesel Engine
Y1  - 2010
U6  - https://doi.org/10.1007/BF03247185
SN  - 2192-886X
VL  - 2010
IS  - 10
SP  - 26
EP  - 31
PB  - Vieweg & Sohn
CY  - Wiesbaden
ER  - 
TY  - JOUR
A1  - Funke, Harald
A1  - Esch, Thomas
A1  - Roosen, Petra
T1  - Powertrain Adaptions for LPG Usage in General Aviation
JF  - MTZ worldwide
N2  - In general aviation, too, it is desirable to be able to operate existing internal combustion engines with fuels that produce less CO₂ than Avgas 100LL being widely used today It can be assumed that, in comparison, the fuels CNG, LPG or LNG, which are gaseous under normal conditions, produce significantly lower emissions. Necessary propulsion system adaptations were investigated as part of a research project at Aachen University of Applied Sciences.
Y1  - 2022
U6  - https://doi.org/10.1007/s38313-021-0756-6
VL  - 2022
IS  - 83
SP  - 58
EP  - 62
PB  - Springer Nature
CY  - Basel
ER  - 
TY  - CHAP
A1  - Schopen, Oliver
A1  - Kemper, Hans
A1  - Esch, Thomas
T1  - Development of a comparison methodology and evaluation matrix for electrically driven compressors in ICE and FC
T2  - Proceedings of the 1st UNITED – Southeast Asia Automotive Interest Group (SAIG) International Conference
N2  - In addition to electromobility and alternative drive systems, a focus is set on electrically driven compressors (EDC), with a high potential for increasing the efficiency of internal combustion engines (ICE) and fuel cells [01]. The primary objective is to increase the ICE torque, provided independently of the ICE speed by compressing the intake air and consequently the ICE filling level supported by the compressor. For operation independent from the ICE speed, the EDC compressor is decoupled from the turbine by using an electric compressor motor (CM) instead of the turbine. ICE performances can be increased by the use of EDC where individual compressor parameters are adapted to the respective application area [02] [03]. This task contains great challenges, increased by demands with regard to pollutant reduction while maintaining constant performance and reduced fuel consumption. The FH-Aachen is equipped with an EDC test bench which enables EDC-investigations in various configurations and operating modes. Characteristic properties of different compressors can be determined, which build the basis for a comparison methodology. Subject of this project is the development of a comparison methodology for EDC with an associated evaluation method and a defined overall evaluation method. For the application of this comparison methodology, corresponding series of measurements are carried out on the EDC test bench using an appropriate test device.
KW  - electro mobility
KW  - fuel cell
KW  - internal combustion engine
KW  - electrically driven compressors
Y1  - 2021
SN  - 978-3-902103-94-9
N1  - 1st UNITED-SAIG International Conference, 21-22 APR 2021, Chulalongkorn University, Thailand
SP  - 45
EP  - 46
PB  - FH Joanneum
CY  - Graz
ER  - 
TY  - CHAP
A1  - Funke, Harald
A1  - Haj Ayed, A.
A1  - Kusterer, K.
A1  - Keinz, Jan
A1  - Kazari, M.
A1  - Kitajima, J.
A1  - Horikawa, A.
A1  - Okada, K.
T1  - Numerical Study on Increased Energy Density for the DLN Micromix Hydrogen Combustion Principle
T2  - Combustion, Fuels and Emissions (ASME Turbo Expo 2014: Turbine Technical Conference and Exposition : Düsseldorf, Germany, June 16–20, 2014 ; Vol. 4A)
Y1  - 2014
SN  - 978-0-7918-4568-4
N1  - Paper No. GT2014-25848
SP  - V04AT04A057
PB  - ASME
CY  - New York, N.Y.
ER  - 
TY  - JOUR
A1  - Dachwald, Bernd
A1  - Wurm, Patrick
T1  - Mission analysis and performance comparison for an Advanced Solar Photon Thruster
JF  - Advances in Space Research
Y1  - 2011
SN  - 0273-1177
VL  - 48
IS  - 11
SP  - 1858
EP  - 1868
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Scholz, A.
A1  - Ley, Wilfried
A1  - Dachwald, Bernd
A1  - Miau, J. J.
A1  - Juang, J. C.
T1  - Flight results of the COMPASS-1 picosatellite mission
JF  - Acta Astronautica. 67 (2010), H. 9-10
Y1  - 2010
SN  - 0094-5765
SP  - 1289
EP  - 1298
ER  - 
TY  - CHAP
A1  - Thenent, N. E.
A1  - Dahmann, Peter
T1  - Hydrostatic propeller drive
T2  - Proceedings of the conference : 18 - 20 May, 2011 Tampere, Finland / the Twelth Scandinavian International Conference on Fluid Power, SICFP'11. Ed.: Harri Sairiala ... Vol. 1
Y1  - 2011
SN  - 978-952-15-2517-9
SP  - 217
EP  - 227
CY  - Tampere
ER  -