Abstract: Devices, methods, systems, and computer-readable media for calculating a battery lifetime of an electric vehicle are described herein. One or more embodiments include receiving via a wide area network, at a network computing device, actual battery use data of a specific electric vehicle, expected battery use data, and battery use data from each of a one or more network connected electric vehicles and calculating an estimated lifetime of a battery of the specific electric vehicle based on the actual battery use data, the expected battery use data, and the battery use data from the one or more network connected electric vehicles.

Abstract: Devices, methods, systems, and computer-readable media for calculating a battery lifetime of an electric vehicle are described herein. One or more embodiments include receiving via a wide area network, at a network computing device, actual battery use data of a specific electric vehicle, expected battery use data, and battery use data from each of a one or more network connected electric vehicles and calculating an estimated lifetime of a battery of the specific electric vehicle based on the actual battery use data, the expected battery use data, and the battery use data from the one or more network connected electric vehicles.

Abstract: Operating a vapor compression system including determining a total heat delivered by the vapor compression system, determining a total electrical energy consumed by the vapor compression system while delivering heat, maintaining a total electrical energy consumed by the vapor compression system during a defrosting cycle, determining a cumulative coefficient of performance of the vapor compression system based on the total heat delivered, the total electrical energy consumed by the vapor compression system while delivering heat, and the total electrical energy consumed by the vapor compression system during the defrosting cycle, and initiating a defrosting cycle based the cumulative coefficient of performance.

Abstract: Operating a vapor compression system including determining a total heat delivered by the vapor compression system, determining a total electrical energy consumed by the vapor compression system while delivering heat, maintaining a total electrical energy consumed by the vapor compression system during a defrosting cycle, determining a cumulative coefficient of performance of the vapor compression system based on the total heat delivered, the total electrical energy consumed by the vapor compression system while delivering heat, and the total electrical energy consumed by the vapor compression system during the defrosting cycle, and initiating a defrosting cycle based the cumulative coefficient of performance.

Abstract: Methods, devices, and systems for frost management of an evaporator are described herein. One device includes a memory, and a processor configured to execute executable instructions stored in the memory to receive operating information of a heat pump, determine a first set point of at least one of a number of components of the heat pump and a first operating temperature, receive a second operating temperature of the evaporator that is positively offset from the first operating temperature of the evaporator, determine a second set point of at least one of the number of components of the heat pump based on the second operating temperature, and modify a set point of at least one of the number of components of the heat pump to the second set point such that a heating mode of the heat pump is enabled for a heating interval length of the heat pump.

Abstract: Devices, methods, systems, and computer-readable media for calculating a battery lifetime of an electric vehicle are described herein. One or more embodiments include receiving via a wide area network, at a network computing device, actual battery use data of a specific electric vehicle, expected battery use data, and battery use data from each of a one or more network connected electric vehicles and calculating an estimated lifetime of a battery of the specific electric vehicle based on the actual battery use data, the expected battery use data, and the battery use data from the one or more network connected electric vehicles.

Abstract: Methods, devices, and systems for frost management of an evaporator are described herein. One device includes a memory, and a processor configured to execute executable instructions stored in the memory to receive operating information of a heat pump, determine a first set point of at least one of a number of components of the heat pump and a first operating temperature, receive a second operating temperature of the evaporator that is positively offset from the first operating temperature of the evaporator, determine a second set point of at least one of the number of components of the heat pump based on the second operating temperature, and modify a set point of at least one of the number of components of the heat pump to the second set point such that a heating mode of the heat pump is enabled for a heating interval length of the heat pump.

Abstract: A device includes an upper limit input to provide an upper limit value, a lower limit input to provide an upper limit value, a control signal input to receive a control signal from a controller, an output, and circuitry coupled to the upper limit input, the lower limit input, and the control signal input to provide an output signal on the output that is constrained by the upper limit value and the lower limit value and that follows the control signal derivative if possible.

Abstract: A device and method include determining battery external power demand on a multiple cell battery, transferring current between cells utilizing an energy accumulation device, and controlling transfer of current between the cells based on balancing current and battery external power demand while minimizing power loss.

Abstract: Methods, systems, and devices for monitoring a battery are described herein. One method includes receiving a plurality of values, each value associated with a respective battery characteristic, and determining an internal state associated with the battery based, at least in part, on the plurality of values.

Abstract: A device includes an upper limit input to provide an upper limit value, a lower limit input to provide an upper limit value, a control signal input to receive a control signal from a controller, an output, and circuitry coupled to the upper limit input, the lower limit input, and the control signal input to provide an output signal on the output that is constrained by the upper limit value and the lower limit value and that follows the control signal derivative if possible.

Abstract: An approach for modeling parallel working units of a system for advanced process control. The approach may be a systematic solution based on structured model order reduction. Two phases of it may incorporate model identification and model combination. The first phase is where a model of each parallel unit and a model of the remaining system without any unit may be obtained. The second phase is where the models may be combined to obtain a model of the whole system for any configuration needed by the advanced process control. The model of the whole system may be subjected to a structured model reduction to obtain a reduced order model for the advanced process control.

Abstract: A system includes a plurality of wireless nodes including multiple controller nodes. Each controller node is configured to execute at least one of multiple control algorithms for controlling at least a portion of a process. Each control algorithm is associated with one or more sensor nodes and/or actuator nodes. At least one wireless node is configured to distribute the control algorithms amongst the controller nodes. At least one wireless node may be configured to redistribute the control algorithms amongst the controller nodes in response to one or more triggering events. A triggering event could include a new controller node being added to the system, and at least one wireless node could be configured to redistribute the control algorithms amongst the controller nodes including the new controller node. Redistribution of control algorithms can change a physical location where at least one control algorithm is executed without interrupting control of the process.

Abstract: Methods, systems, and devices for monitoring a battery are described herein. One method includes receiving a plurality of values, each value associated with a respective battery characteristic, and determining an internal state associated with the battery based, at least in part, on the plurality of values.

Abstract: One method includes assigning one of a number of predefined values to each of a number of shadow prices of the system, distributing the assigned predefined shadow price values to a number of sub-problems, wherein each sub-problem is associated with one of a number of subsystems of the system, performing an analysis, including: determining a parametric solution and a region of validity for each of the number of sub-problems, determining an intersection of the regions of validity of all the parametric solutions, determining whether the optimization problem is solved from the parametric solutions, determining one or more shadow price updates based on the parametric solutions, and distributing the updated shadow prices to sub-problems having a region of validity that does not include the updated shadow prices, and repeating the analysis using the updated shadow prices until the optimization problem is solved from the parametric solutions of the number of sub-problems.

Abstract: The systems and methods described herein allow for automatic identification experiments in a closed loop, where the old control strategy, already tuned and tested, is utilized. The strategy is modified to inject additional signal optimized for identification. The experimenting time may be reduced by performing only those system manipulations which explore model uncertainties important to potential degradation of controller performance by discrepancy between the system and the model. The disruptions are reduced by keeping the control loop closed, which eliminates waiting for steady state before applying steps to the inputs and reduces the risk of process limits crossing. The energy of additional signal can be set to meet the maximum allowable disruption requirements. The energy of additional signal is in a direct relation to the speed of identification related information gathering. It can be varied in time to follow the needs of system operators.

Abstract: An approach for modeling parallel working units of a system for advanced process control. The approach may be a systematic solution based on structured model order reduction. Two phases of it may incorporate model identification and model combination. The first phase is where a model of each parallel unit and a model of the remaining system without any unit may be obtained. The second phase is where the models may be combined to obtain a model of the whole system for any configuration needed by the advanced process control. The model of the whole system may be subjected to a structured model reduction to obtain a reduced order model for the advanced process control.

Abstract: A method includes associating a plurality of valve balancing units with a plurality of valves in a hydronic network. The method also includes adjusting a setting of at least one of the valves using at least one of the valve balancing units to balance the hydronic network. Adjusting the setting could include identifying a differential pressure across a valve and a flow rate of material through that valve. Adjusting the setting could also include comparing the identified differential pressure to a target differential pressure and/or the identified flow rate to a target flow rate. Adjusting the setting could further include instructing an actuator to adjust the setting until the identified differential pressure is within a first threshold of the target differential pressure and/or the identified flow rate is within a second threshold of the target flow rate.

Abstract: The systems and methods described herein allow for automatic identification experiments in a closed loop, where the old control strategy, already tuned and tested, is utilized. The strategy is modified to inject additional signal optimized for identification. The experimenting time may be reduced by performing only those system manipulations which explore model uncertainties important to potential degradation of controller performance by discrepancy between the system and the model. The disruptions are reduced by keeping the control loop closed, which eliminates waiting for steady state before applying steps to the inputs and reduces the risk of process limits crossing. The energy of additional signal can be set to meet the maximum allowable disruption requirements. The energy of additional signal is in a direct relation to the speed of identification related information gathering. It can be varied in time to follow the needs of system operators.

Abstract: A system includes a plurality of wireless nodes including multiple controller nodes. Each controller node is configured to execute at least one of multiple control algorithms for controlling at least a portion of a process. Each control algorithm is associated with one or more sensor nodes and/or actuator nodes. At least one wireless node is configured to distribute the control algorithms amongst the controller nodes. At least one wireless node may be configured to redistribute the control algorithms amongst the controller nodes in response to one or more triggering events. A triggering event could include a new controller node being added to the system, and at least one wireless node could be configured to redistribute the control algorithms amongst the controller nodes including the new controller node. Redistribution of control algorithms can change a physical location where at least one control algorithm is executed without interrupting control of the process.