Loss minimization of an IPMSM drive using pre-calculated optimized current references

The paper discusses the influence of driving cycles on the design optimization of permanent magnet synchronous machines. A bi-objective design optimization is presented for synchronous machines with V-shaped buried magnets. The machine length and the loss energy over a given driving cycle are defined as objectives. A total of 14 parameters defining geometry and winding layout are chosen as design parameters. Additionally some constraints like speed-torque-requirements and minimal stray field bridge widths are set. The optimization problem is solved using 2D finite element analysis and a highperformance differential evolution algorithm. The analyses are performed for the ARTEMIS driving cycle due to the more realistic driving behavior in comparison to the most commonly used New European Driving Cycle. Furthermore, a reference design optimization against the rated point loss energy is presented. The results show a much better performance of the driving cycle optimized machines in comparison to the rated point optimized machines in terms of the cycle-based loss energy. Loss savings depend strongly on the machine length and are approximately in between 15 % and 45 %.

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“…3. Further explanations can be find in [6] and [7]. Other strategies include more loss components and aim at minimizing the total losses (e.g.…”

Section: B Basic Equations and Maximum Torque Per Amperementioning

confidence: 98%

“…Other strategies include more loss components and aim at minimizing the total losses (e.g. Maximum Efficiency Control) [7] but are not considered within this work.…”

Section: B Basic Equations and Maximum Torque Per Amperementioning

confidence: 98%

Driving cycle-based design optimization of interior permanent magnet synchronous motor drives for electric vehicle application

Gunther

Ulbrich

Hofmann

2014

2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion

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“…In dependence of the computing power of the microcontroller, the storage of the data points into look-up tables (LUT) can be useful. A similar strategy is, inter alia, presented in [8]. The block diagram of the MTPA control is shown in Fig.…”

Section: A Vector Control With Mtpa Optimizationmentioning

confidence: 99%

Raw data based model and high dynamic control concept for traction drives powered by synchronous reluctance machines

Staudt

Stock

Kowalski

et al. 2015

2015 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)

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Due to simple mechanical design, resulting in low manufacturing costs, combined with high efficiency and power density, the synchronous reluctance machine (SynRM) is continuously establishing itself as an important machine type for inverter-fed electrical drives. Especially in high volume applications, e.g. traction drives, the SynRM could replace induction machines (IM) by means of significant reduction of the production costs without decreasing the performance of the drive system. However, the inverter control algorithm is getting much more complicated, compared to other machine types. The reason is that the machine is strongly non-linear. In order to optimize the control, an accurate and reliable machine model, based on measurement values, is developed. Furthermore, an optimized control scheme for low voltage battery-fed traction drives, based on the measured machine characteristics, is presented. The traction drive requires a wide speed range and speed variability of the electrical machine. Due to the limited voltage of the battery, the control has to be adaptable to the instantaneous operating point, especially for high speed in the field weakening area. Therefore the Direct Self Control (DSC), originally investigated for the operation of induction machines, is used to control the SynRM drive. Additionally, the control must be able to react to high dynamic speed and load changes without losing stability.Index Terms--Control of drive, Converter machine interactions, Direct torque and flux control, Efficiency, Electrical drive, Electrical machine, Modelling, Non-linear control, Reactive power, Synchronous Reluctance drive Stefan Staudt is with laboratory for power electronics, University of Applied Sciences Aschaffenburg,

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“…A closer look to its operation point dependency reveals that the inverter losses are essentially dependent on the machine's stator current. In order to get an expression which allows an analytical handling of these losses during the optimization task, the resulting inverter losses can be fitted to an expression equivalent to equation (1).…”

Section: Inverter Lossesmentioning

confidence: 99%

“…Due to the thermal limit of the electrical machine and the available DC link voltage, the optimization problem is subjected to current and voltage limitations and its solution usually is performed offline via numerical analysis saving the results in lookup tables. An example of this procedure can be read in [1]. The results stored in lookup tables are static and do not change during the drive is operating.…”

Section: Introductionmentioning

confidence: 99%

Loss minimization algorithm of an IPMSM based on analytical expressions

Betí

Schäfer

2014

2014 16th European Conference on Power Electronics and Applications

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Loss minimization of an IPMSM drive using pre-calculated optimized current references

Cited by 18 publications

References 11 publications

Driving cycle-based design optimization of interior permanent magnet synchronous motor drives for electric vehicle application

Driving cycle-based design optimization of interior permanent magnet synchronous motor drives for electric vehicle application

Raw data based model and high dynamic control concept for traction drives powered by synchronous reluctance machines

Loss minimization algorithm of an IPMSM based on analytical expressions

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