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Estimation of uncertainties in sample results and their impact on Reliability Demonstration Tests
(2023)
HElmar-LiMo 2040
(2023)
Acceptance of e-motorcycles
(2023)
Analyzing and modeling the latency and jitter behavior of mixed industrial TSN and DetNet networks
(2022)
Systematic and user-oriented development of physical interface for vehicle ultrafast charging
(2022)
Future electricity flows and their impact on the power distribution grid on a decentralized level
(2022)
Designing the OR cockpit
(2021)
Optimization of EMI filter with consideration of the noise source impedance for DC/DC converter
(2021)
Coverage Probability of Methods for Steady-State Availability Inference with a Confidence Interval
(2021)
Why Kappa Regression?
(2021)
Application of Induction Thermography for Detection of Near Surface Defects in Steel Products
(2020)
This paper describes the modelling, simulation and energy management of a fuel cell hybrid heavy-duty truck. For this purpose, a longitudinal dynamic model of a 26t truck was set up and the load requirement for the drive train was determined based on a driving cycle. To meet this load requirement as efficiently and dynamically as possible three different energy management strategies were implemented, tested and the impact on the overall system was analysed. In addition, the behaviour of the hybrid system with the various energy management strategies with different battery capacity is shown and analysed.
This paper provides an analysis of the trend in autonomous driving traffic and the development of infrastructural support, whereas the requirements on the infrastructural support will be analyzed. Then selected traffic scenes will be implemented in an autonomous driving simulator tool in order to figure out the required parameters to assist the autonomous vehicle from the infrastructure.
For an efficient operation of a low voltage PMSM an optimized voltage usage is very important. Because of the relation between the low voltage and the high currents in this type of machine, a large voltage reserve is needed to compensate the influence of parameter mismatches and to guarantee a stable current control. As the power is limited by the low voltage in this type of hybrid drive systems, optimizing the voltage usage is also required to maximize the power and the torque availability. This paper describes a closed loop flux control to maximize the voltage usage. The controller feedback is used to estimate and maximize the available torque for each operating point.