Simulation of Electric Motors, Generator and Transformers
We use electrical machines to convert mechanical energy into electrical energy as a generator, to transform and distribute electric energy, and to convert electrical energy into mechanical as a motor. Electrical machines support our modern life in a multitude of ways and are indispensable to electrification on our way into a more sustainable future with fewer carbon emissions. Maximizing the energy efficiency of electrical machines is crucial to minimizing resource consumption.
Electromagnetic simulation supports performance and sustainability targets by helping to create machines that use fewer materials, provide higher efficiency, and produce less noise and vibration. Engineers can optimize their designs to produce maximum efficiency in the required operating regime and to find the best trade-offs between competing design factors.
Electrical machines are complex devices that by definition require multiphysics simulation capabilities. Electromagnetic forces translate into torque in a motor, and conversely, the rotation of a generator generates electromagnetic power. Analyzing the conversion between the two requires a motion analysis, capturing the changing behavior of the machine over time. Ripples in the torque curve can give rise to noise and vibration in the machine. The large currents inside electrical machines can also cause significant heating. The precise evaluation of the coupling of electrical to mechanical forces requires comprehensive material modeling options. Besides the traditional electric losses in realistically modeled conductors, modeling options also include magnetization and demagnetization effects in service. We are able to consider iron losses such as eddy current, hysteresis, and excess/rotational losses explicitly during the simulation. The losses can be used in a thermal analysis of the machine. An electrical machine is always part of a larger system, with electrical circuits and controllers on one side and transmission mechanisms and gearboxes on the other. The simulation model can be connected as a functional mock-up unit to a representation of the entire system, including controllers, for a system simulation of the behavior of the machine in real-world scenarios.
Electrical machine KPIs that can be calculated with simulation include:
Energy efficiency is absolutely crucial for reducing operating costs, increasing vehicle range and meeting sustainability goals. Simulation can optimize electrical machines to increase efficiency. Efficiency typically varies according to speed and torque – automated simulation can quickly calculate and map efficiency over the entire operating regime without the time and cost of physical testing.
When a machine is switched on, current rushes into the coils. This current produces transient effects that are different from the machine’s steady state operation. Time domain simulation models the behavior of the machine in the first critical moments and helps ensure that it can reach optimal performance from a stationary state.
The field strength inside a large motor or generator can be immense, and these fields are capable of interfering with sensitive devices. Shielding prevents field leakage, but adds cost and weight. Simulation allows shielding optimization to target the places where it is needed most to meet electromagnetic compatibility (EMC) requirements and weight requirements together.
For many applications, especially motors for domestic appliances and electric vehicles, noise and vibration are two of the most important KPIs to target. Noise can be caused by magnetic effects (for example cogging torque), mechanical effects (for example bearings), or windage (airflow through the machine). Multiphysics simulation can model these different sources and help to minimize or mitigate noise and vibration.
Electrical machines are often controlled by electronic systems. The system delivers power matched to the motor's required load and operating speed. Understanding performance requires considering the controllers. System simulation can integrate the electrical machine model into a representation of the whole system to model torque and efficiency under realistic load conditions.
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