A method for testing a photovoltaic panel connected to an electronic module. The electronic module includes an input attached to the photovoltaic panel and a power output. The method activates a bypass to the electronic module. The bypass provides a low impedance path between the input and the output of the electronic module. A current is injected into the electronic module thereby compensating for the presence of the electronic module during the testing. The current may be previously determined by measuring a circuit parameter of the electronic module. The circuit parameter may be impedance, inductance, resistance or capacitance.

A method for testing a photovoltaic panel connected to an electronic module. The electronic module includes an input attached to the photovoltaic panel and a power output. The method activates a bypass to the electronic module. The bypass provides a low impedance path between the input and the output of the electronic module. A current is injected into the electronic module thereby compensating for the presence of the electronic module during the testing. The current may be previously determined by measuring a circuit parameter of the electronic module. The circuit parameter may be impedance, inductance, resistance or capacitance.

An apparatus and a method for controlling a voltage conversion mode in an electronic device are provided. The electronic device includes a power management module, a communication processor, and at least one processor operably connected to the communication processor, wherein the at least one processor identifies a modulation order used for communication with an external device, in a case that communication with the external device is performed using a wireless resource, and configures, based on the modulation order, a voltage conversion mode of the power management module that supplies power to the communication processor to a pulse frequency modulation (PFM) mode or a pulse width modulation (PWM) mode.

The present invention is related to a control method for controlling a power converter including a first power conversion circuit 11 and a second power conversion circuit 12 by using a control circuit 13. The first power conversion circuit 11 is connected to a solar cell module 1 and a capacitor 2, converts output power of the solar cell module 1, and outputs the converted power to the capacitor 2, the second power conversion circuit 12 is connected to the capacitor 2, and converts a voltage at a connection terminal connected to the capacitor 2. The control method comprises step of controlling operation of the second power conversion circuit 12 based on the output voltage of the solar cell module 1, to use output power of the second power conversion circuit 12 for charging the capacitor 2.

A system, method, and solar photovoltaic (PV) network for solar PV variability reduction with reduced time delays and battery storage optimization are described. The system includes a Moving Regression (MR) filter; a State of Charge (SoC) feedback control; and a Battery Energy Storage System (BESS). The MR filter, SoC feedback control and BESS are configured to provide smoothing of solar PV variabilities. The MR filter is a non-parametric smoother that utilizes a machine learning concept of linear regression to smooth out solar PV variations at every time step.

The present invention relates to advanced control for a DC-to-DC converter. For this purpose, in the determination of a controlled variable for the control of the DC-to-DC converter, the control dynamics are adjusted according to an electric current through the DC-to-DC converter. In particular, it is possible to determine the controlled variable from a combination of a first controlled variable of a voltage controller and a second controlled variable of a feedforward control. In particular, the control dynamics of the feedforward control can be adjusted according to the electric current through the DC-to-DC converter. By adjusting the control dynamics according to current, it is possible to minimize possible current ripple on the output side.

A structure for detecting feedback on a supply voltage when an electronic device supplies a power source to an external device connected to a connector and an operating method thereof are provided. The electronic device includes a power supply device, at least one connector for a connection with an external device, a power line wired between the power supply device and the connector, a feedback line brought into contact with the power line at a location adjacent to the connector between the power supply device and the connector, a voltage compensation circuit detecting feedback on a supply voltage supplied to an external device at the location adjacent to the connector using the feedback line, and a control circuit configured to control a compensation related to the supply voltage based on the detected feedback.

A system, method, and solar photovoltaic (PV) network for solar PV variability reduction with reduced time delays and battery storage optimization are described. The system includes a Moving Regression (MR) filter; a State of Charge (SoC) feedback control; and a Battery Energy Storage System (BESS). The MR filter, SoC feedback control and BESS are configured to provide smoothing of solar PV variabilities. The MR filter is a non-parametric smoother that utilizes a machine learning concept of linear regression to smooth out solar PV variations at every time step.

A control device for a multi-phase converter including converter circuits of m phases of which each includes a switching element includes: a driven phase number control unit configured to control the multi-phase converter in n-phase driving or m-phase driving; a storage unit configured to store first and second patterns; a selection unit configured to select the first or second pattern while the multi-phase converter is stopped, an on/off control unit configured to perform on/off control on the switching elements of the number of driven phases; and a prediction unit configured to predict a predicted correlation value which is correlated with a time ratio which is a ratio of a time in which control in the m-phase driving is predicted to be performed to a time in which control in the n-phase driving is predicted to be performed in a predetermined time.

A power system includes a primary bus connected to a traction battery, a secondary bus connected to an auxiliary battery, a power converter between the traction and auxiliary batteries, and a controller. The controller commands the power converter to increase a magnitude of current output to the secondary bus when an amount of charge current received by the traction battery exceeds a first amount threshold and commands the power converter to decrease the magnitude when an amount of charge current received by the auxiliary battery exceeds a second amount threshold.