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Calibrate Mapped Electric Motors Using Data

If you have Model-Based Calibration Toolbox™, the Virtual Vehicle Composer can use a dataset to calibrate a mapped electric motor in an electric vehicle (EV) or hybrid electric vehicle (HEV).

  1. Open the Virtual Vehicle Composer app.

  2. On the Setup tab:

    1. Specify your virtual vehicle options, including Vehicle class, Model template, and Vehicle dynamics.

    2. Set Powertrain architecture to a configuration that uses an EV or HEV, for example, Electric Vehicle 3EM Dual Front.

    3. Click Configure.

  3. On the Data and Calibration tab, select the electric motor that you want to calibrate. Specifically, select Powertrain > Electrical System > Electric Machine x, where x is 1, 2, 3, or 4 and corresponds to the motor.

    For example, select Electric Machine 1.

  4. Select the Calibrate from Data tab.

  5. Use Browse to specify the data file. By default, the app uses the file MappedMotorDataset.xlsx, which contains the required data.

    The table summarizes the data file requirements for generating calibrations from measured motor power loss data at steady-state operating conditions.

    Calibration Type

    Required Data

    Tabulated loss data
    • Motor speed, rad/s

    • Motor torque, N·m

    • Power loss, W

  6. Click Calibrate to generate response surface models in the Model-Based Calibration Toolbox and calibration in CAGE (CAlibration GEneration). To calibrate the data, Model-Based Calibration Toolbox uses templates.

    When the process completes, the app updates the powertrain subsystem Mapped Motor block parameters with the calibrated data.

  7. Review the electric motor loss characteristics response surface model.

    Response surface for electric motor loss.

  8. Optionally, to adjust the calibration, click Open Calibration Tool. The Model-Based Calibration Toolbox opens.

    • The Model Browser provides the response model fits for the data contained in the data file.

    • The CAGE Browser provides the calibrated data.

    For information, see Model-Based Calibration Toolbox.

See Also

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