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Optimization of Axial-Flux Induction Motors for the Application of Electric Vehicles Considering Driving Cycles
- Source :
- IEEE Transactions on Energy Conversion. 35:1522-1533
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- Refereed/Peer-reviewed This article presents the optimization of axial-flux induction motors (AFIMs) for the electric vehicles application by solving the Maxwell's equations inside five subdomains. It allows a detailed modelling and accurate steady-state performance prediction of the AFIMs in a short time (under 1 sec). The analytical model is verified against 2D finite-element analysis. Different design options of the AFIM are considered and then optimized based on the proposed analytical model with the aim of minimizing the motor's volume and satisfy a set of predefined performance parameters for operation in a nominal point and also over a driving cycle. For operation in a nominal point, three power levels and for the driving cycle based operation, three driving cycles are considered. In each operation state, maximum torque per ampere (MTPA) constraint is enforced by changing the number of winding turns per slots. Alternatively, similar optimizations are performed without MTPA constraint by considering the number of winding turns as a variable. It is observed that motor design based on the driving cycle benefits from a lower volume while it is feasible for all the operating conditions. Enforcing the MTPA in design leads to a wider torque-speed operating range and simpler control in the expense of additional volume.
- Subjects :
- Optimal design
AFIM
business.product_category
Computer science
020208 electrical & electronic engineering
electric vehicle
Energy Engineering and Power Technology
analytical model
02 engineering and technology
axial-flux induction motor
driving cycle
Power (physics)
Control theory
Electric vehicle
0202 electrical engineering, electronic engineering, information engineering
Performance prediction
Point (geometry)
optimal design
Electrical and Electronic Engineering
business
Ampere
Induction motor
Driving cycle
Subjects
Details
- ISSN :
- 15580059 and 08858969
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Energy Conversion
- Accession number :
- edsair.doi.dedup.....b84a13f82db907cdc6025132fe27541a