Abstract: Disclosed are implementations, including a method that includes obtaining measurement samples relating to electrical operation of an electric motor drive providing power to an electric motor, deriving, based on the samples, instantaneous estimates for parameters characterizing speed and/or position of the motor according to an optimization process based on a cost function defined for the samples, and applying a filtering operation to the instantaneous estimates to generate filtered values of the motor's speed and/or position. The filtering operation includes computing the filtered values using the derived instantaneous estimates in response to a determination that a computed convexity of the cost function is greater than or equal to a convexity threshold value, and/or applying a least-squares filtering operation to the derived instantaneous estimates and using at least one set of previous estimates derived according to the optimization process applied to previous measurement samples.

Abstract: A system may mitigate leakage currents in non-isolated charging stations for electric vehicles. The system may include a bank of one or more parallel capacitors per phase electrically coupled to an AC voltage source, wherein a neutral point of the one or more parallel capacitors is electrically coupled to a DC ground; a bank of one or more inductors per phase electrically coupled to the one or more parallel capacitors, wherein each inductor is in series with and downstream from one capacitor; a rectifier electrically coupled to and downstream from the one or more parallel inductors, wherein the rectifier converts the AC voltage source to a DC voltage for supply to a battery; a DC bus electrically coupled to the rectifier; and a controller, wherein the controller is configured to mitigate leakage currents by controlling a voltage of at least one of the bank of one or more parallel capacitors.

Abstract: Disclosed are methods, systems, devices, and other implementations, including a voltage converter device that includes one or more inductive elements to deliver inductor current to an output section of the voltage converter device, at least one switching device to control current flow at the output section of the voltage converter device, and a controller to controllably vary, according to a predictive model, a subsequently applied switching frequency to the at least one switching device to maintain zero-voltage switching based, at least in part, on the inductor current of the one or more inductive elements.

Abstract: Disclosed are implementations, including a method that includes obtaining measurement samples relating to electrical operation of an electric motor drive providing power to an electric motor, deriving, based on the samples, instantaneous estimates for parameters characterizing speed and/or position of the motor according to an optimization process based on a cost function defined for the samples, and applying a filtering operation to the instantaneous estimates to generate filtered values of the motor's speed and/or position. The filtering operation includes computing the filtered values using the derived instantaneous estimates in response to a determination that a computed convexity of the cost function is greater than or equal to a convexity threshold value, and/or applying a least-squares filtering operation to the derived instantaneous estimates and using at least one set of previous estimates derived according to the optimization process applied to previous measurement samples.

Abstract: An approach to control or monitoring of battery operation makes use of an artificial neural network (ANN), which receives one or more battery attributes for a Lithium ion (Li-ion) battery, and determines, based on the received one or more battery attributes, a state-of-charge (SOC) and/or a state-of-health (SOH) estimate for the Li-ion battery. The ANN includes at least one of a recurrent neural network (RNN) and a convolutional neural network (CNN), and the series of values of the battery attributes includes at one of battery voltage values, battery current values, and battery temperature values.

Abstract: The integration of the auxiliary power module (APM) functionality into non-dissipative balancing hardware of a high voltage battery or supercapacitor pack enables a more cost-effective non-dissipative balancing system while maintaining a similar complexity in topologies. The system uses state-space equations and three control problems to balance high-voltage energy storage elements and charge low voltage energy storage elements. Two optimization based controllers are employed to optimize both balancing and charging simultaneously.

Abstract: An approach to control or monitoring of battery operation makes use of a recurrent neural network (RNN), which receives one or more battery attributes for a Lithium ion (Li-ion) battery, and determines, based on the received one or more battery attributes, a state-of-charge (SOC) estimate for the Li-ion battery.

Abstract: The integration of the auxiliary power module (APM) functionality into non-dissipative balancing hardware of a high voltage battery or supercapacitor pack enables a more cost-effective non-dissipative balancing system while maintaining a similar complexity in topologies. The system uses state-space equations and three control problems to balance high-voltage energy storage elements and charge low voltage energy storage elements. Two optimization based controllers are employed to optimize both balancing and charging simultaneously.

Abstract: A wind power turbine configured to generate electric energy has: a supporting structure; a nacelle; a blade assembly which rotates with respect to the nacelle; a first and second electric machine having, respectively, a substantially coaxial first and second stator, and a first and second rotor coupled to the first and second stator to rotate about a first and second axis; a transmission configured to connect the first rotor to the second rotor; a control device configured to control the wind power turbine; and a detection system connected to the control device to detect relative movement between the first rotor and the second rotor.

Abstract: A wind turbine configured to generate electric energy and feed electric energy to an electric power grid, the wind turbine having a blade assembly; an electric machine having a stator, and a rotor connected to the blade assembly to generate electric energy; a first switch converter connected to the electric machine to control stator electric quantities (IS; VS); a second switch converter connected to the electric power grid; and a DC link circuit configured to connect the first switch converter to the second switch converter; the wind turbine being characterized by having a control device which, by at least one of the first and second switch converters, controls a direct voltage (VDC) in the DC link circuit on the basis of an operating parameter of the electric machine indicating the stator voltage (VS) of the electric machine, and on the basis of a quantity indicating the line voltage (Vlin) of the electric power grid.

Abstract: A wind power turbine configured to generate electric energy has: a supporting structure; a nacelle; a blade assembly which rotates with respect to the nacelle; a first and second electric machine having, respectively, a substantially coaxial first and second stator, and a first and second rotor coupled to the first and second stator to rotate about a first and second axis; a transmission configured to connect the first rotor to the second rotor; a control device configured to control the wind power turbine; and a detection system connected to the control device to detect relative movement between the first rotor and the second rotor.

Abstract: A wind power turbine control method, the wind power turbine having an electric machine, in turn having a stator, a rotor rotatable about an axis of rotation with respect to the stator, and a mechanical bearing assembly configured to couple the rotor in rotary manner to the stator; the stator having at least one winding to interact electromagnetically with the rotor; and the control method including the steps of: estimating at least one quantity selected from a group including a distance between the rotor and the stator, the variation over time in the distance, and misalignment between the rotor and stator; defining a localized additional magnetic force as a function of the selected quantity; and regulating the selected quantity using the localized additional magnetic force defined.

Abstract: A wind turbine configured to generate electric energy and feed electric energy to an electric power grid, the wind turbine having a blade assembly; an electric machine having a stator, and a rotor connected to the blade assembly to generate electric energy; a first switch converter connected to the electric machine to control stator electric quantities (IS; VS); a second switch converter connected to the electric power grid; and a DC link circuit configured to connect the first switch converter to the second switch converter; the wind turbine being characterized by having a control device which, by at least one of the first and second switch converters, controls a direct voltage (VDC) in the DC link circuit on the basis of an operating parameter of the electric machine indicating the stator voltage (VS) of the electric machine, and on the basis of a quantity indicating the line voltage (Vlin) of the electric power grid.