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Solar cars are energy-sensitive and affected by many factors. In order to achieve optimal energy management of solar cars, it is necessary to comprehensively characterize the energy flow of vehicular components. To model these components which are hard to formulate, this study stimulates a solar car with the digital twin (DT) technology to accurately characterize energy. Based on the hybrid modeling approach combining mechanistic and data-driven technologies, the DT model of a solar car is established with a designed cloud platform server based on Transmission Control Protocol (TCP) to realize data interaction between physical and virtual entities. The DT model is further modified by the offline optimization data of drive motors, and the energy consumption is evaluated with the DT system in the real-world experiment. Specifically, the energy consumption error between the experiment and simulation is less than 5.17%, which suggests that the established DT model can accurately stimulate energy consumption. Generally, this study lays the foundation for subsequent performance optimization research.
Luchang Bai; Youtong Zhang; Hongqian Wei; Junbo Dong; Wei Tian. Digital Twin Modeling of a Solar Car Based on the Hybrid Model Method with Data-Driven and Mechanistic. Applied Sciences 2021, 11, 6399 .
AMA StyleLuchang Bai, Youtong Zhang, Hongqian Wei, Junbo Dong, Wei Tian. Digital Twin Modeling of a Solar Car Based on the Hybrid Model Method with Data-Driven and Mechanistic. Applied Sciences. 2021; 11 (14):6399.
Chicago/Turabian StyleLuchang Bai; Youtong Zhang; Hongqian Wei; Junbo Dong; Wei Tian. 2021. "Digital Twin Modeling of a Solar Car Based on the Hybrid Model Method with Data-Driven and Mechanistic." Applied Sciences 11, no. 14: 6399.
In order to simplify the application and improve diagnostic speed of the diagnostics, a novel method to diagnose multiple open circuit faults in insulated gate bipolar transistors (IGBTs) by three-phase currents for power inverter in electric vehicles is presented. The summation of currents with semi-period phase-difference is described in diagnostic variables with exploration of the current information in faulty condition. In contrast with plentiful existing methods which rely on the motor models and control parameters, this algorithm merely requires phase currents. Meanwhile, the normalized way based on the absolute phase currents and variable parameter moving average method are applied to improve the diagnostic speed and independence of load variation, which contributes to the real-time application in the electric vehicles. Experimental results, using a vector-controlled permanent magnet synchronous motor (PMSM) and digital signal processor MC56F8346, are presented to verify the algorithm effectiveness, showing many features, such as applicability for multiple open circuit faults, well-robustness against false alarms, briefness and agility for the diagnosis function.
Hongqian Wei; Youtong Zhang; Lei Yu; Mengzhu Zhang; Khaled Teffah. A New Diagnostic Algorithm for Multiple IGBTs Open Circuit Faults by the Phase Currents for Power Inverter in Electric Vehicles. Energies 2018, 11, 1508 .
AMA StyleHongqian Wei, Youtong Zhang, Lei Yu, Mengzhu Zhang, Khaled Teffah. A New Diagnostic Algorithm for Multiple IGBTs Open Circuit Faults by the Phase Currents for Power Inverter in Electric Vehicles. Energies. 2018; 11 (6):1508.
Chicago/Turabian StyleHongqian Wei; Youtong Zhang; Lei Yu; Mengzhu Zhang; Khaled Teffah. 2018. "A New Diagnostic Algorithm for Multiple IGBTs Open Circuit Faults by the Phase Currents for Power Inverter in Electric Vehicles." Energies 11, no. 6: 1508.