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The focus in this work is the evaluation and validation of the simulation model of a conventional thermal management for an internal combustion engine (ICE). A simulation software package for modeling thermal management of the ICE including mechanical and thermal parts of the cooling circuit is presented: the SmartCooling (SC) library. For the evaluation and validation of the simulation an all wheel drive sport utility vehicle (SUV), the BMW X3 2.0i, was measured on a roll test bench. In this work the comparison between the simulation and measurement results for the entire ICE cooling circuit including all thermal and mechanical components is presented.

The presented work proposes a simulation environment using Modelica programming language for full vehicle simulations. A special software library suitable for Modelica simulations is used - the SmartElectricDrives (SED) library. This software is developed to simulate all parts of the electrical drive systems, and furthermore, allows to choose different levels of abstraction in the simulation design. Typical applications for the SED library are simulations of vehicular systems such as full vehicle simulations of hybrid electric vehicles (HEVs) and electric vehicles (EVs), simulations of electrified auxiliary drives, etc. In this work a full vehicle simulation of an HEV concept with a starter-generator is presented and all the parameters of the electrical components are discussed.

This paper presents monitoring and diagnostic techniques for drivetrain components in hybrid electric vehicles (HEVs). The particular focus of this work is the gear box of the drivetrain and mechanical faults of the electric motor. Permanent magnet motor magnet failures and rotor eccentricities are investigated and diagnosed. For induction motors, the presented mechanical fault cases are electrical rotor asymmetries (defective bars and end rings) and rotor eccentricities, as well. Apart from stationary operation, the presented techniques can also be applied to transient operating conditions. Measurement results are presented and discussed.

The intention of this work is to compare fuel consumptions of conventional and hybrid electric vehicles as well as vehicles with conventionally and electrically operated auxiliaries. In this paper the investigated auxiliaries are the water pump and the cooling fan. For the purposed investigation a whole vehicle simulation model is developed. The simulations are performed with Dymola which is based on the simulation language Modelica. For the presented vehicle simulation, two simulation libraries are developed and presented. With the developed simulation fuel savings of the hybrid electric vehicle and electrically operated auxiliaries are proved.