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Control Strategy for Power Distribution in Dual Motor Propulsion System for Electric Vehicles

Author

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  • Pedro Daniel Urbina Coronado
  • Horacio Ahuett-Garza

Abstract

Electric Vehicles with more than one electric motor can offer advantages in saving energy from the batteries. In order to do that, the control strategy plays an important role in distributing the required torque between the electric motors. A dual motor propulsion system with a differential transmission is simulated in this work. A rule based control strategy for this propulsion system is proposed and analyzed. Two parameters related to the output speed of the transmission and the required torque are used to switch the two modes of operation in which the propulsion system can work under acceleration. The effect of these parameters is presented over the driving cycles of NEDC, UDDS, and NYCC, which are followed using a PID controller. The produced energy losses are calculated as well as an indicator of drivability, which is related to the difference between the desired speed and the actual speed obtained. The results show that less energy losses are present when the vehicle is maintained with one electric motor most of the time, switching only when the extended speed granted by the second motor is required. The propulsion system with the proposed control strategy represents a feasible alternative in the spectrum of sustainable transportation architectures with extending range capabilities.

Suggested Citation

  • Pedro Daniel Urbina Coronado & Horacio Ahuett-Garza, 2015. "Control Strategy for Power Distribution in Dual Motor Propulsion System for Electric Vehicles," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-10, November.
  • Handle: RePEc:hin:jnlmpe:814307
    DOI: 10.1155/2015/814307
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    Cited by:

    1. Wang, Zhenzhen & Zhou, Jun & Rizzoni, Giorgio, 2022. "A review of architectures and control strategies of dual-motor coupling powertrain systems for battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    2. Krzysztof Tomczyk & Marek Sieja & Grzegorz Nowakowski, 2021. "Application of Identification Reference Nets for the Preliminary Modeling on the Example of Electrical Machines," Energies, MDPI, vol. 14(11), pages 1-15, May.

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