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Experimental Study for the Assessment of the Measurement Uncertainty Associated with Electric Powertrain Efficiency Using the Back-to-Back Direct Method

Author

Listed:
  • Michele De Santis

    (Department of Engineering, University of Rome Niccolò Cusano, via Don Carlo Gnocchi 3, 00166 Rome, Italy)

  • Sandro Agnelli

    (OPV Solutions S.r.l., via Etna 9, 00141 Rome, Italy)

  • Fabrizio Patanè

    (Department of Engineering, University of Rome Niccolò Cusano, via Don Carlo Gnocchi 3, 00166 Rome, Italy)

  • Oliviero Giannini

    (Department of Engineering, University of Rome Niccolò Cusano, via Don Carlo Gnocchi 3, 00166 Rome, Italy)

  • Gino Bella

    (Department of Enterprise Engineering, University of Tor Vergata, via del Politecnico 1, 00133 Rome, Italy)

Abstract

Brushless electric motors are used intensively in the industrial automation sector due to the motors low inertia and fast response. According to the International Electrotechnical Commission, IEC 60034-2-1, the efficiency of a three-phase electric machine (excluding machines for traction vehicles) can be determined by direct or indirect techniques. In the case of small traction motors (<10 kW), direct methods are used extensively by manufacturers, even if no standard has been published or scheduled by the IEC. In this paper, we evaluated the accuracy of the (direct) back-to-back method for the estimation of the energy performance of a 3 kW brushless AC electric motor used in a light electric vehicle. We measured the efficiencies of a pair of motors and inverters, as well as the overall efficiency of the entire power train. The results showed that the methodology was sufficiently accurate and comparable with other indirect methods available in existing literature. Moreover, we developed a Simulink model that used the powertrain efficiency map as the input to perform the simulation of a standard urban driving cycle. The simulation was run 500 times to calculate the probability density function associated with the total range of the vehicle, considering the uncertainty of the efficiency that was determined experimentally. The simulation results confirmed the low deviation of the distribution standard compared to the average value of the range of the vehicle.

Suggested Citation

  • Michele De Santis & Sandro Agnelli & Fabrizio Patanè & Oliviero Giannini & Gino Bella, 2018. "Experimental Study for the Assessment of the Measurement Uncertainty Associated with Electric Powertrain Efficiency Using the Back-to-Back Direct Method," Energies, MDPI, vol. 11(12), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3536-:d:191778
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    References listed on IDEAS

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    6. Rachana Vidhi & Prasanna Shrivastava & Abhishek Parikh, 2021. "Social and Technological Impact of Businesses Surrounding Electric Vehicles," Clean Technol., MDPI, vol. 3(1), pages 1-17, February.

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