Applied Cases of EV Motor Controller Tuning by MILS using JMAG-RT

Nobuo Morimura, Yu Takano
Powertrain Design Department, Engineering Division,


Up until now, the performances of the developed control software were evaluated by performing tests on the actual machine. However, controlling the environmental conditions of the test can be very costly. Moreover, parameter tuning of highly nonlinear control systems, such as inverter overmodulation or torque control using voltage phase adjustment, incurs even more man-hours. On top of that, it is expected that the trend of increasing speed and torque will also contribute to the increase of man-hours.
To reduce the man-hours required for the performance evaluations and control design, our model-based development includes control development software that feature automatic code generation tools, as well as a JMAG-RT model that faithfully and accurately simulate the motor behavior.
In this paper, we confirm the validity of our model by comparing it to the experimental data and then conclude on the usefulness of the model-based development for control design. Moreover, as the computational cost of model-based development is becoming an increasingly important matter in the field, we introduce some examples of computation time reduction.

Applied Cases of EV Motor Controller Tuning by MILS using JMAG-RT

Applied Cases of EV Motor Controller Tuning by MILS using JMAG-RT

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