TY  - JOUR
A1  - Esch, Thomas
A1  - Göbel, T.
T1  - Gemischbildung bei drosselfreier Laststeuerung von Ottomotoren
JF  - Motortechnische Zeitschrift. 54 (1993), H. 12
Y1  - 1993
SN  - 0024-8525
SP  - 616
EP  - 618
ER  - 
TY  - JOUR
A1  - Esch, Thomas
A1  - Göbel, T.
A1  - Pischinger, M.
T1  - Variable Ventilsteuerung - Luft- und Kraftstoffzumessung bei Ottomotoren mit variabler Ventilsteuerung
JF  - Forschungsberichte Verbrennungskraftmaschinen. 578 (1995)
Y1  - 1995
N1  - Report
SP  - 1
EP  - 42
ER  - 
TY  - JOUR
A1  - Esch, Thomas
A1  - Pischinger, M.
A1  - Göbel, T.
T1  - Luft- und Kraftstoffzumessung bei Ottomotoren mit variabler Ventilsteuerung
JF  - Motortechnische Zeitschrift. 57 (1996), H. 2
Y1  - 1996
SN  - 0024-8525
SP  - 106
EP  - 115
ER  - 
TY  - JOUR
A1  - Esch, Thomas
A1  - Pischinger, M.
A1  - Hagen, J.
A1  - Salber, W.
T1  - Möglichkeiten der ottomotorischen Prozeßführung bei Verwendung des elektromechanischen Ventiltriebs
Y1  - 1998
N1  - Konferenz-Einzelbericht : 7. Aachener Kolloquium Fahrzeug- u. Motorentechnik  05.-07. Okt. 1998, Bd. 2
SP  - 987
EP  - 1015
ER  - 
TY  - JOUR
A1  - Esch, Thomas
A1  - Salber, W.
A1  - Kemper, Hans
A1  - Staay, F. van der
T1  - Der elektromechanische Ventiltrieb - Systembaustein für zukünftige Antriebskonzepte, Teil 2.
JF  - Motortechnische Zeitschrift (MTZ).
Y1  - 2001
U6  - http://dx.doi.org/10.1007/bf03227081
SN  - 0024-8525
VL  - 62
IS  - 1
SP  - 44
EP  - 55
PB  - Springer Nature
CY  - Basel
ER  - 
TY  - JOUR
A1  - Esch, Thomas
A1  - Salber, W.
A1  - Kemper, Hans
A1  - Staay, F. van der
T1  - Der elektromechanische Ventiltrieb - Systembaustein für zukünftige Antriebskonzepte, Teil 1.
JF  - Motortechnische Zeitschrift (MTZ).
Y1  - 2000
U6  - http://dx.doi.org/10.1007/bf03227081
SN  - 0024-8525
VL  - 61
IS  - 12
SP  - 826
EP  - 836
PB  - Springer Nature
CY  - Basel
ER  - 
TY  - JOUR
A1  - Esch, Thomas
A1  - Salber, Wolfgang
A1  - Wolters, Peter
A1  - Geiger, José
A1  - Dilthey, Jochen
T1  - Synergies of variable valve actuation and direct injection
JF  - Direct injection SI engine technology 2002 : [SAE 2002 world congress, Detroit, Michigan, USA, March 4 - 7, 2002].
Y1  - 2002
SN  - 0-7680-0961-8
N1  - Konferenz-Einzelbericht
SP  - 45
EP  - 53
PB  - Society of Automotive Engineers
CY  - Warrendale, Pa
ER  - 
TY  - JOUR
A1  - Esch, Thomas
A1  - Saupe, T.
A1  - Fahl, E.
A1  - Koch, F.
T1  - Verbrauchseinsparung durch bedarfsgerechten Antrieb der Nebenaggregate
JF  - Motortechnische Zeitschrift. 55 (1994), H. 7/8
Y1  - 1994
SN  - 0024-8525
SP  - 416
EP  - 431
ER  - 
TY  - JOUR
A1  - Esch, Thomas
A1  - Wolters, P.
A1  - Salber, W.
A1  - Geiger, J.
T1  - Variable Ventilsteuerung und Direkteinspritzung - vom Wettbewerb zur Synergie
JF  - Motor und Umwelt 2001, Internal Combustion Engine Versus Fuel Cell - Potential and Limitations as Automotive Power Sources, Verbrennungsmotor versus Brennstoffzelle - Potenziale und Grenzen für den Automobilantrieb, Proc., Graz, AT, 6.-7. Sep, 2001
Y1  - 2001
N1  - Konferenz-Einzelbericht
SP  - 183
EP  - 206
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  -