DESIGN AND OPTIMIZATION OF SWITCHED RELUCTANCE MOTOR FOR LIGHT ELECTRIC VEHICLES IN INDONESIA
Switched Reluctance Motor (SRM) is a motor without a magnet so it has a strong structure, is able to operate at high temperatures, and has a low price. The low cost of SRM construction makes this motorbike potential to be developed in Indonesia. This research shows the design and optimization of...
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| Format: | Dissertations |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/62355 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Switched Reluctance Motor (SRM) is a motor without a magnet so it has a strong
structure, is able to operate at high temperatures, and has a low price. The low cost
of SRM construction makes this motorbike potential to be developed in Indonesia.
This research shows the design and optimization of 12/8-5 kW, for light vehicle
applications. In the first study, the design was carried out using the iteration method
or DoE (design of experiment) in the next stage, optimization with a single objective
was investigated and in the third stage, this study proposed a multiple-objective
genetic algorithm optimization method with the objectives of minimum core loss
and maximum output torque, four main variables by pre-designed calculations as
individuals in the initial population. The motor parameters are stator outer
diameter, air gap, rotor inner diameter, motor length, shaft diameter, stator, and
rotor pole height, these seven parameters are fixed. While the optimized variables
are rotor pole tip width ????????????, rotor pole bottom width ????????????, stator pole width ????????
,
rotor bottom diameter ????????????. These four variables will not affect the dimensions of
the motor frame, so that it will facilitate the revision of the production process. This
method is implemented for a 5 kW SRM. This motor is modeled by the finite element
method and coupled with an excitation circuit. The process of modeling, simulating
and manufacturing the motor has been carried out. The optimization results
obtained SRM no. 5, which is the optimum motor with the characteristics of
increasing the output torque by 13.32% and reducing the core losses by 11.56%.
This method shows that the optimization stage has succeeded in reducing core
losses and increasing the SRM output torque. |
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