Powertrain performance optimization is one of main targets in racecar and road hypercar development. A key activity needed for both endothermal and electric powertrains is the cooling system sizing through simulation to make sure that the temperature limits are not exceeded in the most aggressive conditions minimizing or avoiding power derating. This article describes the implementation of a 1D cooling system simulation model integrated with a vehicle multibody model to be used real time in the Dallara dynamic driving simulator with human driver. This activity is the result of a collaboration between Dallara which uses the model implemented to develop and optimize the cooling system architecture of its vehicles, and Claytex which develops the libraries used to generate these simulation models.

Batteries are used in numerous applications such as mobile devices, electric vehicles, home storage systems and islanded microgrids.

Bidirectional DC-DC converters are vital for the integration of batteries, for the power conversion during (dis)charge and the battery management.

Modeling of these is helpful, especially for the design of larger, more complex systems consisting of multiple DC-DC converters in parallel.

Due to the high switching frequencies, the simulation of DC-DC converters is associated with increased computational time and effort.

In this paper, three models of different complexity and accuracy are proposed for a bidirectional DC-DC converter consisting of two phase-shifted half-bridges.

Two switching models, which differ mainly in the way the \textsc{mosfet}s are driven, account for the individual switching operations and exhibit high accuracy.

An averaging model replaces the switching elements with current and voltage sources providing the mean values.

It is particularly suitable for multiple components and longer simulation durations.

The dynamic behavior of the models is analyzed using the step responses of the load current.

For validation, these are compared with the theoretical transfer function.

The three models are analyzed comparatively in terms of computational time and effort.

The calculation time of the averaging model has been reduced by two thirds compared to the strictly complementary switching model and by 96\% relative to the model with diode emulation mode.

The averaging model requires only one third of the computation time of the complementary switching model and only 3.5\% of that of the model with diode emulation.

Recommendations for the use of the models are given and a possible use case is shown. Two parallel connected DC-DC converters with load current sharing between them are simulated using the averaging model.

This paper describes a method to resolve a potential inconsistency when employing redundant dynamic thermofluid states for modeling of vapor compression cycles. Following a brief introduction regarding the motivation and use of redundant thermofluid states, a series of test models ranging from simple component models to complex system models are developed to illustrate the potential inconsistency with Air Conditioning Library. Based on observations of the simulation results from these test models, a method for ensuring consistency is proposed and implemented. The method is then demonstrated on the test suite and evaluated for effectiveness, robustness, and computational efficiency.