Loss minimizing and saturation dependent control of induction machines in vehicle applications

Windisch, Thomas; Hofmann, W.

doi:10.1109/iecon.2015.7392318

Cited by 9 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This points out the reason why saturation is not simple to pre-determine and that the interpolation of the saturation state should be applied when simulating induction machine drives that are operated in different saturation states. IMs used as traction motors for electric vehicles are commonly operated at different values of the flux linkage to minimize the machine power losses and to maximize the efficiency of the drive (Von Pfingsten et al , 2017b; Windisch and Hofmann, 2015; Alexandridis et al , 2015). For those machines, the interpolation of the saturation state can help predetermining the steady state using the nonlinear hybrid simulation approach.…”

Section: Hybrid Simulation Approachesmentioning

confidence: 99%

“…This is easily fulfilled for a linear simulation. For drives operating in different levels of saturation, such as traction drives for electric vehicles (Von Pfingsten et al , 2017b; (Windisch and Hofmann, 2015; Alexandridis et al , 2015), the saturation state is difficult to be estimated beforehand. The nonlinear hybrid approach is introduced, which interpolates the saturation state from multiple matrices L at different levels of saturation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid simulation approaches for induction machine calculation

Pfingsten

Nell

Hameyer

2018

COMPEL

View full text Add to dashboard Cite

Purpose Induction machines for traction applications are operated at working points of high ferromagnetic saturation. Depending on the working point, a broad spectrum of harmonic frequencies appears in the magnetic flux density of induction machines. Detailed loss analysis therefore requires local and temporal highly resolved nonlinear field computation. This loss analysis can be performed in the post processing of nonlinear transient finite element simulations of the magnetic circuit. However, it takes a large number of transient simulation time steps to build up the rotor flux of the machine. Design/methodology/approach In this paper, hybrid simulation approaches that couple static FEA, transient FEA and analytic formulations to significantly decrease the number of simulation time steps to calculate the magnetic field in steady state are discussed, analyzed and compared. Findings The proposed hybrid simulation approaches drastically decrease the simulation time by shortening the transient build-up of the rotor flux. Depending on the maximum error of the rotor flux linkage amplitude compared to the steady state value, a reduction of simulation time steps in the range of 55.5 to 98 per cent is found. Originality/value The presented hybrid simulation approaches allow efficient performing of the transient FE magnetic field simulations of induction machines operated as traction drives.

show abstract

Section: Hybrid Simulation Approachesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybrid simulation approaches for induction machine calculation

Pfingsten

Nell

Hameyer

2018

COMPEL

View full text Add to dashboard Cite

show abstract

“…But when the IM runs at high speed and light loads, the high flux level causes additional core loss and makes the efficiency to come down. In urban railways, the vehicles runs in a ‘powering–coasting–braking’ mode, with at least one‐third time of each running period working in high‐speed and light‐load conditions , so the motors work under low efficiency. Therefore, there is still great possibility for energy saving for traction IMs with long‐term light load or wide load change.…”

Section: Introductionmentioning

confidence: 99%

Improved hybrid loss control with optimized flux for traction induction motor under light load

Yin

Meng

Diao

et al. 2018

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

With the fast development of rail transportation, it is of great significance to improve the efficiency of traction motors. The efficiency of the traction induction motor may drop drastically when the load is far away from the rated operating point, which is always the case when the vehicle is running under constant speed. This paper presents a loss model control method to achieve the balance between iron and copper losses for efficiency improvement under field‐oriented control. A steady‐state simplified loss model considering iron loss with an equivalent series resistor is built for the expressions of loss and efficiency. Then the optimal flux level is denoted, and the control performance is compared with that of the conventional flux control. The sensitivity of the motor parameters is also studied. Finally, simulation and experimental results validate the feasibility and effectiveness of the proposed control strategy. The experimental results in the laboratory determine the efficiency gains achieved with selected actual traction induction motors. Efficiency gain as high as 3–5% has been achieved under light load conditions. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

show abstract

Flatness Based Optimal Control for Induction Machine Drives

Rolle

Sawodny

2019

IFAC-PapersOnLine

View full text Add to dashboard Cite

Loss minimizing and saturation dependent control of induction machines in vehicle applications

Cited by 9 publications

References 15 publications

Hybrid simulation approaches for induction machine calculation

Hybrid simulation approaches for induction machine calculation

Improved hybrid loss control with optimized flux for traction induction motor under light load

Flatness Based Optimal Control for Induction Machine Drives

Contact Info

Product

Resources

About