This paper introduces a novel permanent magnet claw pole generator (PMCPG) with outside rotor. Its structure and operation principle are described. The magnetic field distribution and induction EMF of the PMCPG are calculated by ANSYS software. The calculation formula of inductance parameter has been also given in this paper. By means of two powerful simulation tools, the ANSYS and CASPOC software, the operation characteristic of the PMCPG with and without load is simulated on the basis of coupling of magnetic field and electric circuit. The simulation result shows that the PMCPG has well operation performance and is suitable to be used in vehicle.

The examination of power trains in vehicles requires special techniques for the modelling of different electrical/electromagnetic components and electronics. System considerations of automobile power trains result in the need for mixed technology, mixed mode simulation at a high abstraction level. At the same time high accuracy is required to gain significant results. To reach these contrary goals, qualified evaluation of the components' physics is necessary as well as a suitable generation of behavioural models on system levels. Beside usual electronic systems, electrical drives and actuators, modem cars show highly non-linear and dynamic components such as electrical valve trains, integrated starter generators and electrical machines for hybrid and E-car applications. In addition new energy storage concepts and components as well as main and auxiliary networks have to be considered. Here many types of physical effects have to be regarded, which are static, stationary or dynamic in nature. Power, energy and torque related parameters have to be evaluated. The way to transfer physical behaviour to simplified component models, well suited for system level simulation is shown. System level simulations gives the opportunity to detect exceptional status of the system and to perform extensive tests within the simulation of complete cars of any type as conventional, hybrid and elctrical cars. Introduction Simulation and variational calculations of complex systems are well known procedures to speed up problem solving and accomplish virtual prototypes. The strategy to more and more substitute mechanical and hydraulic components and systems in cars by electromagnetic actuators and electronic controls, leads to a growing number of electrical systems in a modem vehicles (Fig. 1). Considering these tendencies it might be stated, that the automobiles of the future will, very likely, be built largely from electrical - not mechanical - components. Examples of the electrical take-over already are prevalent. Steer by wire, brake by wire, electrical engine cams, temporary 4-wheel electrical drives realised as virtual and real prototypes, are examples for research and development projects in that area, whereas ABS, ASC, DSC and ABC show subsystems already running in today\'s cars. Many of these systems are high-power electrical drives [1] and require a significantly increased electrical power in the conventional cars.;

Designers of electrical machines and drives need a Rapid Application Development (RAD) tool during the design phase of an electrical machine in order to perform fast prototyping. Using the tool various prototypes of machines can be designed.

Die Tendenz mechanische und hydraulische Komponenten und Systeme im Automobil durch elektronische und mechatronische Systeme zu ersetzen, führt zu einem deutlich erhöhten Energiebedarf im Bordnetz und zu einer Erhöhung der Netzkomplexität. Die erhöhte Bordnetzspannung von 42 V ist eine der Möglichkeiten für diese Tendenzen günstigere Voraussetzungen zu schaffen.

Abstract—Most real world problems involve simultaneous optimisation of several criteria or objective functions. These criteria are expressed and mathematically represented as functions of the decision variables, that are called objective functions. These objective functions are either commensurable or non-commensurable. In this article we discuss the multi-objective optimisation of permanent magnet DC (BLDC) motors using genetic algorithms and artificial immune systems to obtain the set of optimal solutions.
Index Terms—BLDC, genetic algorithms, artificial immune system, multi-objective optimisation (MOOP).

TASK Simulation of HF behaviour of a Homelink module at different positions in the car with different frequencies and different car body geometry
GOALS Assess the Homelink antenna itself and after integration in the car. Evaluation of radiation patterns. Set up a complete simulation model (antenna&car), that may be used for the comparison of different embedding locations.