Schneider Electric Usa, Inc.

Kevin M Jefferies

Benjamin W Edwards

Matthew L White

Richard Karl Weiler

Alan Freeman

Konstantin Filippenko

Konstantin Alexander Filippenko

Julius Michael Liptak

Daniel Martin

Christian Ringwald

Surya Narayana H Govindaraju

Wolfgang Fien

Juergen Fiess

Timothy B Phillips

Michael Baron Carter

Gerald Benjamin Carson

Milton Hotard

Christian Pillot

Philippe Guibert

Pablo Garcia Viano

Alan E Freeman

Pablo Garcia-Viano

Techniques for managing a distributed control system for a motor control switch are described. A request to implement a first controller for a motor control switch is received. Embodiments determine a plurality of functional modules for the first controller. Each of the plurality of functional modules comprises an instance of computer logic configured to perform a respective function. A respective Motor Control Function Set (MCFS) for performing the respective function of each of the plurality of functional modules is determined. One or more of a plurality of configurable hardware blocks are allocated to each of the plurality of functional modules. Embodiments configure each of the plurality of configurable hardware blocks based on the MCFS of the functional module to which the respective configurable hardware block is allocated. The configured plurality of configurable hardware blocks is executed as a distributed system to control the motor control switch.

Systems and methods of distributed and dynamically configurable motor control

A computer-implemented method is provided to automatically adjust a device setting of a plurality of networked devices. The method includes performing autonomously at a device of the plurality of networked devices, receiving a request to update a device setting to a new value, comparing a characteristic of the plurality of networked devices to a corresponding characteristic of the device, determining one or more similar devices of the plurality of devices that satisfy a similarity criteria based on a result of the comparison, and accessing the one or more similar devices to change the device setting of the one or more similar devices to the new value.

Management of setting change propagation in networked devices

A method is performed by a bus coupler of a subnetwork of one or more local subnetworks coupled to an overall network is provided, including performing a local discovery process for discovering and identifying one or more bus devices included in the subnetwork. The method further includes submitting an internet protocol (IP) address request to obtain an IP address for the bus coupler, receiving at the bus coupler the IP address of the bus coupler in response to the IP address assignment request, submitting a configuration request for configuration information associated with a device name for the bus coupler, receiving the configuration information in response to the configuration request, and configuring at least one feature of the bus coupler using the configuration information, wherein the device name is based on identifier(s) of the respective one or more bus devices obtained by the discovery process.

Automatic naming and configuration of a replacement electronic device

A method, apparatus and computer program product resolve the problem of unbalanced loads in an EVSE cluster of multiple EVSE charging stations. A signal is provided to the EVSEs identifying which phase of the three-phase power source has the highest current. When one of the EVSEs in the cluster determines whether it is connected to an EV's on board charging device, determines whether it is already charging the connected EV, and determines whether the EVSE is using the phase that has the highest current, then the EVSE may transmit a cluster load balancing control signal as a control pilot signal to the EV's onboard charging device to adjust the charging rate of the current that the EV is consuming from the EVSE.

AC EVSE cluster load balancing system

A method and system are provided to facilitate the commissioning of a distributed system. The method and system obtains a base configuration which defines an expected virtual topology for a distributed system, and identifies via a control device a physical network topology of the distributed system to commission the distributed system. The control device performs network discovery to identify a plurality of connected devices that are communicatively coupled thereto, and to collect device information for each connected device relating to its identity and relative position in the distributed system which has connected devices or associated subnetworks connected in a ring network topology. The collected device information for the plurality of connected devices is compared to the expected virtual topology from the base configuration to determine an identity and physical location of the plurality of connected devices and associated subnetworks in the physical network topology of the distributed system.

Method to commission a distributed system

The present application relates to ensuring data consistency between a modular device and an external system. Techniques are described for ensuring data consistency between devices at a control device using configuration signatures. A control device can receive and store a baseline configuration signature for a first modular device. Upon initialization of the first modular device, the control device can receive a current configuration signature from the first modular device. The control device can compare the current configuration signature with the baseline configuration signature and, if a mismatch is found, generate a notification indicating that data subsequently received from the first modular device is of uncertain integrity.

Ensuring data consistency between a modular device and an external system

Techniques for monitoring the health of a three-phase induction motor are provided. An expected threshold value is calculated as a function of an expected ratio of current unbalance to voltage unbalance for the three-phase motor. Embodiments determine whether a measured current unbalance exceeds the expected threshold value. Responsive to the measured current unbalance exceeding the expected threshold value, a remedial action may be taken, such as generating diagnostic information or activating one or more protection operations for the three-phase induction motor.

Motor branch circuit health monitoring method

A measurement module receives crosstalk compensation factors that include distance factors based on respective distances of a current sensor of the module from respective current sensors of other measurement modules and phase difference factors based on respective differences between the phase of a source current measured by the module and respective phases of source currents measured by the other modules. The module monitors messages reporting current measurements transmitted from the other modules connected to a broadcast bus, of current measurements made by respective current sensors of the other modules measuring other respective source currents. The module determines a reported current that is computed as a function of current measurement by the module's current sensor, reported current measurements monitored from the other modules, and the received crosstalk compensation factors. The module transmits the determined reported current over the broadcast bus to the other modules and a central controller.

Multi-device current measurement crosstalk compensation

A measurement module receives a defined system topology and system component characteristics information for a system. The measurement module calculates an expected system impedance for the defined system topology. The measurement module collects one or more impedance measurements using a high frequency voltage stimulus. Finally, the measurement module compares the one or more impedance measurements with the expected system impedance to determine adequacy of protective grounding of the system.

Embedded high frequency ground monitor

A measurement module uses harmonic compensation factors to minimize the effects of harmonic distortion in measurements of a source current by a current sensor of the module. The module samples at a first sampling rate, measurements of the source current to generate a first current measurement. The module samples at a second sampling rate higher than the first sampling rate, for an interval of time, measurements of the source current to generate a second current measurement. The module determines a harmonic compensation factor based, at least, on a difference between the first current measurement and the second current measurement. The module determines a reported current computed as a function of at least the first current measurement, the difference between the first current measurement and the second current measurement, and the harmonic compensation factor. The reported current represents a magnitude of the source current adjusted by the harmonic compensation factor.

Current measurement compensation for harmonics

A progressive protection method automatically adapts a protection trip delay or fault timeout for a motor that is a member of a group of motors performing mutually similar or related tasks, based on the occurrence of a fault in another motor within the group, without requiring manual intervention. If the user requires stringent protection of the motors in a particular application, then the trip delay time for all of the motors in the group, may be shortened in response to recently-detected similar trips of other motors within the group. Alternatively, if the user prefers continuity of service for a particular application, then the trip delay time for all of the motors in the group, may be increased in response to recently-detected similar trips of other motors within the group, based on past experience with the occurrence of fault self-clearing for the motors in the group.

Progressive protection functions for motor overload relay

The overload relay units within a motor control group have the timing function for their motor thermal memories under the control of a central controller in communication with the overload relays. Thus expensive timing components and control of timestamps can be removed from individual overload relays. Further reduction of individual overload relay components can be accomplished by removing the nonvolatile memory function from the individual overload relays and allowing the central controller to perform the nonvolatile memory functions for the overload relays. The motor thermal model function for the overload relays can remain in the overload relays or might be moved to the central controller if communication bandwidth permits.

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Raleigh, NC, United States of America

Kevin M Jefferies