The existing tools however have several limitations not allowing every possible existing winding configuration to be applied to the model. Market requirements and the need for reduced emissions are pushing the demand for hybrid and electric traction both in the transportation and in the off-highway sectors. Over the next years e-drive units and e-axles will continue to evolve to meet industry specific requirements like increase in power density, efficiency improvement, weight and cost reduction, reliability.
One key-factor for the development of e-axles is the thermal management. The e-motor temperature strongly affects both the efficiency and life of the system and, with the increasing power density, external water-cooling is not effective.
For this reason, internal oil jet cooling concepts are already used by several players in order to cool down the components more efficiently. Moreover, the growing integration of the e-motor and transmission units allows for the use of the transmission fluid as the coolant in the e-motor. The development of this type of integrated cooling and lubrication system is still very dynamic with multiple players exploring its potential and limits.
In this frame, with new concepts to be designed and compared, the adoption of simulation techniques since the early stages of the development process is crucial to drive the design of the e-motor cooling system and to optimize the lubrication of the e-axles. In this presentation the development process of virtual prototypes of oil cooled e-motors and axles is described with a particular focus on the oil flow analysis and optimization.
The result is that the oil flow in a gearbox or e-motors can be virtually analyzed in a few days. Based on these predictions the design of the gearbox and e-motor can be optimized before having a physical prototype and CFD simulation becomes a design tool. Two case studies, one about a reduction gearbox and one about oil cooled e-motor will be presented with a comparison of numerical predictions against experimental data.
Furthermore, we will briefly describe HIL interface towards the test automation and test management software. The aim of this technical presentation is to explain the application of PSIM look-up tables among other PSIM blocks to implement energy flow criteria to simulate a microgrid behaviour. Within the explanation, data sources to fill up look-up tables and each model of each microgrid component will be described, from photovoltaic field passing through batteries and reaching power grid and domestic loads.
This model is used to determine the viability of implementing a microgrid, so incomes and expected energy bill are also simulated using PSIM assuming Spain surplus energy policies.
AFE converters are widely used in electrical engineering — solar plants, wind turbines, frequency converters. A three-level T-type inverter is considered. The design of a power electronics part, PI regulators setup , PWM technique, power consumed analysis and thermal analysis are described. The design of any part of the motor drive system usually requires a working motor drive control algorithm.
The advanced control algorithms of field weakening FW and maximum torque per volt MTPV control are included in our design suite. We will leverage this ability to quickly design and compare switch types, capacitor values, or other power hardware elements.
We will compare different motor models with the same power level hardware. We can quickly import these motor parameters into our design suite producing closed-loop motor drive simulations. We will also demonstrate our improved capabilities for the analysis of the DC bus, including the introduction of non-ideal switches, common-mode capacitances, long cable models, and parasitic bus inductance for EMI pre-compliance simulation. Come and see how the design tools can be leveraged to speed up power stage design, motor design, control system design, and integrated motor drive in larger systems.
Permanent magnet synchronous machines provide some benefits with respect to wound-field solutions, including lower losses, greater simplicity and higher reliability. This makes them potentially interesting also for large power applications involving continuous operation and large costs in case of sudden failure, such as pumps and compressors for pipelines, which are usually fed directly from the mains for the same reasons.
The analysis and design of large synchronous machines featuring both magnets and squirrel cage using both analytical and simulation models is presented, investigating steady-state conditions as well as start-up transients under different assumptions about the grid. The losses due to eddy currents in permanent magnets of a motor, have significant impact on the magnet temperature and its performance.
While designing Battery electric vehicles BEVs this can influence the range and the cooling system for the motor assembly. The rare-earth magnets have higher conductivities which leads to significant magnet losses at maximum speed operations. In case of pulse width modulated current input to the 3-phase motor, the high-frequency harmonics can cause considerable rise in the magnet losses. This paper presents a detailed finite element analysis FEA modelling which takes into account the 3-D eddy current flow with a magnet to analyze and predict losses in a magnet with higher accuracy.
In this sense, the export functionality of the JMAG GeneralInterface allows for another option to integrate JMAG into the automated processing chain for the motor design by providing inter alia the vector potential and the magnetic flux density along with the corresponding mesh node positions, relation to edges. Custom post-processing functions may for example be required in case of complicated material behaviour, whereof the analytical estimation of AC loss in superconducting windings is discussed as an example.
Besides, the accessibility of raw data may also be desired, if custom visualization schemes should be applied to the field solutions, e. This talk is therefore on the automated export of JMAG field solutions with a short outlook on how to work with the obtained data. A new feature based on » optimization » capability has been added into the new PSIM version.
This goal of this presentation is to show how to use those new tools in order to optimize a 3-phase PWM rectifier and get a robust design model. Power Converters for EV Battery Charging Systems: Aiming to contribute to diminishing the negative effects caused by the transportation sector, the full adoption of electric mobility is increasingly a reality.
In this context, power electronics technologies play a crucial part to support the full adoption of electric mobility, including on-board and off-board battery charging systems, as well as new topologies with innovative operation modes for supporting the power grid. Embracing these features, it will be presented power electronics technologies for electric mobility where some of the main technologies and power electronics topologies are presented and explained.
The dynamic wireless inductive charging technology can mitigate the cost of the charging infrastructure and electric vehicles, moreover increasing its efficiency and acceptability. Regenerative braking considered as a general concept, in which the load is eventually able to return energy to the generator or a storage system, is one of the bases for increasing the energy efficiency of an electric vehicle or a broader electrical system. In this paper are presented the basics of how to handle the energy returned by a motor drive to be stored in a supercapacitor battery, through a bidirectional DC-DC converter, keeping the voltage of the intermediate DC BUS and the supercapacitors stable.
Since the simulations focus on power transfer, averaged models in PSIM are proposed to reduce simulation time and it will be shown how to use SmartCtrl to design the control loops of the bidirectional converter: current control, voltage control on the DC BUS and voltage control on the supercapacitors. Finally, a simulation of the complete system will be shown: motor drive, bidirectional DC-DC converter, super capacitors and source converter. The effect of temperature, stress and deformation can be accounted for through a coupled analysis using a 2D model for magnetic field analysis and structural analysis, and a 3D model for thermal analysis.
The industry poses specific challenges for the development engineers due to the strict requirements and design boundary conditions. Developing an electrical drive train which meets the high safety standards, the desired efficiency and power to weight ratio requires a multidisciplinary design approach to cover all the requirements and design aspects.
Matlab, Simcenter, Ansys to deliver the results in time and face the challenge of real-time data exchange between the disciplines. JMAG offers a wide range of flexibility to share simulation results with 3rd party ecosystems. In this presentation a workflow will be presented where the effect of mechanical stress due to thermal expansion on the iron core of an electric machine can be taken into account to get a more precise loss and performance result. Many of the technological advances over the past decades have occurred by miniaturization.
In miniaturization, the shape, size, and characteristic features of the devices must be ensured to allow them to be appropriately integrated and packaged in a successful industrial product.
Reductions in weight and space provide new aspects to consider during the design of electrical components. The prediction of heating and cooling processes is of eminent importance in the development of electrical devices. By using a multiphysics approach designers and engineers are able to take in account in earlier stage the temperature dependency of the magnets which affect the final torque for an electrical motor for instance. Different methods will be presented to address different aspect of the design of electrical components.
As electric vehicles become increasingly more mainstream, an increasing level of refinement is required for a modern driving experience. As efficiency and NVH targets become increasingly more stringent, an integrated CAE modeling approach is required to predict system behavior early in the development cycle. This integrated CAE approach requires multi-disciplinary modeling, of electromagnetics, mechanics, and thermal systems together. While these analyses may typically be managed by different engineers, or even different departments, there is a growing need for increased collaboration.
This presentation will detail several avenues for increased collaboration of motor integration to improve NVH behavior. In the V Showing both part of the presentation may let appreciate the flexibility of PSIM both in semiconductor analysis and application dimensioning.
It will mainly focus on how PSIM helped in findings critical aspects of this semiconductor solution. This presentation will cover how to design, optimize, and close the loop on resonant converters using our new resonant Power Supply Design Suite in PSIM.
We will demonstrate our new and exciting time-domain-based Steady-State Solver tool, Design Curve tool, and Parameter Optimization tool to find optimum values of the resonant parameters, operating frequency range to maintain ZVS, quality factor, magnetics ratio, and other design parameters. As the design tools are instantaneous in generating design curves, output calculations, and output waveforms, we will demonstrate how it takes only a few minutes to optimize the resonant converters.
Some important topics we work through:. In he took over the responsibility for the product development. His main focus is currently on simulation process development, multiphysics simulations in electrical components.
Fabio Brucchi got his M. Expert Power Semiconductors. In his career he was granted with 23 patents and wrote 25 scientific articles. Moreover, he increases his knowledge of High Performance Computing by everyday use. His passion has always been power electronics, so while studying in university he got involved with electric Formula Student project for four entire years. There he learned a lot about teamwork, competition and real application of power electronics in an 80kW single-seater racecar.
Since then, he knows that he wants to develop and improves his knowledge about it. He received his diploma degree in Electrical Engineering in and his doctoral degree in from TU Darmstadt. His research interests are electrical machine design for traction and industry drives, and efficiency determination of electrical machines.
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Muthukrishnan and R. Dhanasekaran and S. Muthukrishnan , R. Dhanasekaran , S. In this paper a DC- DC boost converter is proposed for achieving high voltage gain and to reduce the harmonic content in the output side. The circuit diagram of the proposed converter is consists of coupled inductor.
Therefore the voltage stress on the active switch is reduced due to the presence of the inductor and the output voltage is high in the proposed converter and the response of various factors are… Expand. Save to Library Save. Create Alert Alert. Share This Paper. The registration to the course includes the lunches and coffee breaks.
Withdrawal from the Course: In case you cannot attend the course after having registred, please contact us as soon as possible at marketing powersys. We recommend you to make your travel arrangements once the course is confirmed. Please feel free to contact us for any further information marketing powersys. Fees include 6-day training and training materials.
Registration deadline The registration will be closed by June 28, What should you expect from the training? This course is an introductory to advance-level course focused in the following specific objectives: To review the main DC-DC converter topologies for medium-high power applications. The steady-state operation is described in detail together with the main design aspects.
Dynamic modeling and control reference designs are provided. Ready-to use simulation examples are included for all the case studies. To study in depth the main concepts of digital control: Gain and resolution of DPWM as well as practical implementation examples. Sampling techniques and digital delay. Analog and digital current and voltage filtering. Gain and resolution of ADC resolution. Compensator design and constants resolution.
Limiters and anti-windup function. Unity gain feedback. Limit cycles, Etc. Finally, to integrate the control performed in the FPGA with the functions performed with the microprocessors. Audience description This training course is recommended to everybody interested in the theoretical and practical design aspects of medium-high power converters and its control by means of digital control techniques.
All the audience will find a set of practices to develop, from the scratch, a digital control of a power converter using SoC devices. The practicing engineer firmware and power hardware engineers will be given with the physical meaning and efficient explanations of the modeling and digital control problem.
The university student Master and PhD degrees will find easy-to-follow mathematical developments not always covered in the textbooks. Instructors and university professors will find a different approach for their explanations as well as an interesting set of simulation reference designs.
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