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TY  - THES
AU  - Schulze, Sven
TI  - Prädiktive Betriebsstrategie für einen Schwerlast-LKW mittels nutzungsprofilabhängigem Äquivalenzfaktor
PB  - Rheinisch-Westfälische Technische Hochschule Aachen
VL  - Dissertation
CY  - Aachen
M1  - RWTH-2025-01087
SP  - 1 Online-Ressource : Illustrationen
PY  - 2024
N1  - Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2025
N1  - Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2024
AB  - In the case of heavy-duty hybrid trucks, a large part of the fuel saving potential results from the recuperation of energy during deceleration and downhill driving, as well as the subsequent assist of the combustion engine by the electric motor. The challenge to increase the saving potential is to achieve an intelligent use of the kinetic and potential energy of the vehicle which is partly recuperated as electrical energy in the high-voltage storage system. In this research, an energy management strategy is developed that realises an efficiency-optimised operating behaviour of the powertrain through the optimisation approach of the Equivalent Fuel Consumption Minimization Strategy (ECMS). To ensure a high recuperation share, a predictive discharging of the battery before long downhill drives is implemented. The targeted parameter definition within the scope of the function development allows a more flexible utilisation of the maximum charging stroke of the battery over longer distances and can thus reproduce the operating behaviour of the global-optimal operating strategy. Supplemented by Driving Condition Recognition, the adaptive operating strategy Prd-AECMS-DCR is created, which continuously adapts the operating behaviour. The evaluation of the saving potential is based on the equivalent fuel consumption, which is calculated based on a whole-vehicle simulation verified at component level. Real test drives, which represent the German motorway network in terms of the altitude profile, are used as driving profiles. In addition, the VECTO-longhaul profile is used due to its significance for the CO2 legislation. As a further boundary condition, a variation of the vehicle mass is considered as an influencing variable on the saving potential. In the final evaluation, further approaches of adaptive energy management strategies are taken into account and their properties are compared in a Morphological box. The combination of ECMS, prediction and adaptation in the Prd-AECMS-DCR and their parameterisation on the basis of real driving profiles shows how the saving potential of hybrid trucks can be increased and how the operational behaviour of the global-optimal operating strategy on the basis of dynamic programming can be well reproduced. The conflict of objectives between the increase of the recuperation potential and the efficiency optimisation of the operating point selection of the drive units is solved by the Prd-AECMS-DCR on different operating profiles. Therefore, even with changed boundary conditions an additional saving potential of up to 2 
LB  - PUB:(DE-HGF)11
DO  - DOI:10.18154/RWTH-2025-01087
UR  - https://publications.rwth-aachen.de/record/1003513
ER  -