Optimal Design of Induction Motors Over Driving Cycles for Electric Vehicles

Roshandel, Emad; Mahmoudi, Amin; Soong, Wen L.; Kahourzade, Solmaz

doi:10.1109/tvt.2023.3292901

Cited by 10 publications

(3 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding the design of IM for EV application, in [30], an optimization procedure has been introduced that can consider the overload capability of the IM over the driving cycle. The overload has been investigated by checking the hotspot temperature of the winding.…”

Section: Methodsmentioning

confidence: 99%

Design Optimization of Induction Motors with Different Stator Slot Rotor Bar Combinations Considering Drive Cycle

Mahmouditabar,

Baker

2023

Energies

View full text Add to dashboard Cite

In this paper, a sequential Taguchi method for design optimization of an induction motor (IM) for an electric vehicle (EV) is presented. First, a series of empirical and mathematical relationships is systematically applied to reduce the number of possible stator slot rotor bar (SSRB) combinations. Then, the admissible optimal combinations are investigated and compared using finite element (FE) simulation over the NEDC driving cycle, and the three best combinations are selected for further analysis. Each topology is optimized over the driving cycle using the k-means clustering method to calculate the representative working points over the NEDC, US06, WLTP Class 3, and EUDC driving cycles. Then, using the Design of Experiment (DOE)-based Taguchi method, a multi-objective optimization is carried out. Finally, the performance of the optimized machines in terms of robustness against manufacturing tolerances, magnetic flux density distribution, mechanical stress analysis, nominal envelope curve and efficiency map is carried out to select the best stator slot rotor bar combination. It is also found that the K-means clustering method is not completely robust for the design of electric machines for electric vehicle traction motors. The method focuses on regions with high-density working points, and it is possible to miss the compliant with the required envelope curve.

show abstract

Section: Methodsmentioning

confidence: 99%

Design Optimization of Induction Motors with Different Stator Slot Rotor Bar Combinations Considering Drive Cycle

Mahmouditabar,

Baker

2023

Energies

View full text Add to dashboard Cite

show abstract

“…In the stage of SA, the number of design parameters for copper-based and aluminum-based designs are 13 and 12, respectively. Therefore, in the case of full factorial design, the required FEM samples for copper-based and aluminum-based designs are 3 13 = 1594323 and 3 12 = 531441, respectively. Whereas to perform the SA using OA, only 27 FEM runs are required.…”

Section: Comparison Of Computational Timementioning

confidence: 99%

“…In [12], using the sub-domain model, a sequential process is introduced for optimal design of IMs with and without consideration of overload in a multi-physics environment and whilst considering the driving cycle. In [13], a meta-modelbased approach has been proposed to optimize the machine using a two-stage process.…”

Section: Introductionmentioning

confidence: 99%

Robust Design of Induction Machines for High-Speed Electric Freight Locomotive Applications

Mahmouditabar,

Baker

2024

IEEE Access

View full text Add to dashboard Cite

This paper showcases a systematic procedure to design the most efficient re design of a commercially available induction machine to be used as a traction motor in an Electric Freight Locomotive for the rail journey from Tehran to Mashhad. Using Taguchi optimization, copper and aluminium wound versions of the machine are optimized for an 1870-ton load locomotive with a peak power of 1203kW. The driving cycle is summarized using the K-means clustering method to obtain representative points. Full details of the drive cycle and guiding rail adhesion modelling are given and subsequently used in a sequential multiphysics and multi-operation mode robust procedure which optimizes the geometry and cooling parameters whilst taking manufacturing tolerances into account. The paper thus presents a thorough comparative study of aluminium-based and copper-based designs to meet a realistic Electric Freight Locomotive specification. Results indicated that the proposed approach is effective in optimum and robust design of conventional and aluminium induction machines and can be applied to other machine types operating on other rail journeys. Switching to aluminium is one way of improving the recyclability of motors, but in the scenario considered here, results in a 1.1% reduction in efficiency over the driving cycle.

show abstract