The concept of partial power processing was developed to reduce the power processes by converter components to increase efficiency and power density. This paper investigates the behavior of partial power converter (PPC) applied to photovoltaic (PV) systems. This paper uses a series PPC to integrate a PV string into a DC bus. Extracting maximum power from PV string is problematic for PPC at near-zero partiality. At this point, the converter does not change its quadrant if needed, and the controller saturates. This leads to a loss of the maximum power point. This paper introduces a seamless maximum power point tracking method with enhanced performance near zero partiality. The proposed concept is verified through numerical simulations in PSIM.
The paper presents a method for derivation of the minimum split DC link capacitance in three-phase three-level DC-AC converters operating with unity power factor with neither active balancing circuits nor AC zero sequence injection. It is shown that due to the fact that partial DC link voltages and AC-side phase voltages obtain extremum values at different instants, it is possible to reduce the minimum value of the former below maximum value of the latter while still ensuring correct operation of the power stage. Minimum attainable split DC link capacitance values are therefore obtained according to boundary case of tangency between the above-mentioned voltages. Analytical derivations are accurately verified by simulations and experiments, demonstrating close agreement.
Digital twins (DTs) are playing a vital role nowadays in the EV industry. Since their inception, DTs have contributed significantly to the research development process. PMSMs are, are widely used in electric vehicles (EVs) due to their simple structure, good heat radiation capability, and high efficiency. In this paper, the performance of an EV-PMSM control strategy is evaluated based on DT concept. General principles of DT technology were discussed. The performance control model of PMSM was derived. Field-oriented control (FOC) and direct torque control (DTC) strategies for EVPMSM were discussed and compared. The PMSM DT architecture including physical, virtual, and service unit (data exchange) was proposed. EV-PMSM DT primarily functioned to evaluate the motor control algorithm. The motor’s actual speed was compared to the estimated one by its DT. The obtained results showed the effectiveness of the proposed DT to estimate the motor speed which would be used to develop a speed estimator to optimize the motor control strategy.
With technological progress and the industrial automation revolution, electric self-driving vehicles (ESDV) have become the focus of global attention by different automotive manufacturers. The primary stage in the vehicle development process is modeling and simulations. Risk reduction, waste minimization, efficiency improvement, and energy combustion savers are the main pros of system simulation. This paper presents a detailed simulation dynamic model of (ISEAUTO) self-driving vehicles. An overview of the latest trends concerning ESDV dynamics is discussed. The detailed model framework of the ESDV is proposed. The simulation model of each vehicle component is built using MATLAB/Simulink. The obtained simulation characteristics are compared to the actual vehicle to validate the proposed experimental analysis’s target effectively.
With the benefit of high power density and bidirectional multi-input multi-output (MIMO) power transfer capability, the multiport active bridge (MAB) topology has been widely used in the electric transportation onboard propulsion and charging systems. However, the nonlinear power transfer behavior brings challenge to its control system design. As the dynamic performance of the traditional proportional-integral (PI) controller is characterized by a relatively slow response and large overshoot. To address this issue, decoupling control strategies have been proposed to enhance the transient response and control flexibility of the system. This paper discussed and compared several nonlinear decoupling control methodologies including the small signal state-space linearization based and optimization algorithm based decoupling control. Simulation verifications are performed to conclude the suitable applications.
