An apparatus for controlling precursor flow. The apparatus may include a processor; and a memory unit coupled to the processor, including a flux control routine. The flux control routine may be operative on the processor to monitor the precursor flow and may include a flux calculation processor to determine a precursor flux value based upon a change in detected signal intensity received from a cell of a gas delivery system to deliver a precursor.

An apparatus for controlling precursor flow. The apparatus may include a processor; and a memory unit coupled to the processor, including a flux control routine. The flux control routine may be operative on the processor to monitor the precursor flow and may include a flux calculation processor to determine a precursor flux value based upon a change in detected signal intensity received from a cell of a gas delivery system to deliver a precursor.

A method for determining parameters of a simplified model of an energy storage system, including an energy storage device and a conversion device, the system being modelled by a complex model including models of the energy storage and conversion devices; the complex model receiving a setpoint power P.sub.ac_sp and a state of charge SOC.sub.p at input and providing the state of charge SOC of the storage device and the power P.sub.ac at the output of the storage device at output; the method including implementing simulations of the energy storage system using the complex model; calculating (a) a table of the variation in the state of charge of the system as a function of the setpoint power and of a state of charge, (b) a table of maximum power as a function of the state of charge; (c) a table of minimum power as a function of the state of charge.

A nutrient dosing system including: a mixing tank for receiving a solvent and at least one nutrient medium; and at least one dosing device, each dosing device being fluidly connected to the mixing tank. Each dosing device includes a nutrient tank for storing a nutrient medium, a reciprocating pump having an inlet port fluidly connected to the corresponding nutrient tank, and an outlet port fluidly connected to the mixing tank, and an actuator configured to actuate the reciprocating pump. The nutrient dosing system also includes a controller configured to, for at least one dosing device, control the respective actuator to cause the corresponding reciprocating pump to: load the nutrient medium from the corresponding nutrient tank; and inject a target amount of nutrient medium into the mixing tank.

A method for determining an availability of an electric vehicle charging station is disclosed. The method includes: obtaining a distance between a mobile device and the electric vehicle charging station using a first geolocation information and a second geolocation information; based on the determined distance, determining an availability of the electric vehicle charging station; and sending a message to a user regarding the determined availability of the electric vehicle charging station.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

In accordance with aspects of the present invention a distributed energy system edge unit is presented. An edge unit includes a power grid interface; one or more device interfaces; a processing unit coupled to the power grid interface and the one or more device interfaces, the processing unit including a communication state that allows communications with an external entity; a control and monitor state that communicates with the communication state; a check unit state that communicates with the control and monitor state and provides a unit state data; wherein the control and monitor state and the communication state provide an instruction data set, current operating parameters according to the unit state data, the instruction set data, and a characterization parameter data, and wherein the control and monitor state provides control signals to the power grid interface and the one or more device interfaces.

A power calculation apparatus predicting and calculating an amount of power suppliable from a vehicle having a battery to a power grid via a connection apparatus, the power calculation apparatus includes a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform: predicting a position of the vehicle after a predetermined duration; predicting a degree of likelihood of connection of the vehicle to the connection apparatus after the predetermined duration, based on a predicted position of the vehicle after the predetermined duration and the connection apparatus; and predicting the amount of power suppliable from the vehicle to the power grid after the predetermined duration, based on the degree of likelihood.

The invention provides a parameters tuning method of energy storage system and the energy storage system, and the method comprises the following steps: using PID control module to construct a closed-loop control subsystem of energy dispatching; acquiring PID initial parameters according to the energy dispatching model of the energy storage system; setting an adaptive model in the PID control module, and processing the PID initial parameters through the adaptive model to obtain PID adjusted and modified parameters; using the PID adjusted and modified parameters to modify the PID parameters and get the PID tuning parameters. What's more, the system comprises a battery module, a bidirectional converter device, an energy dispatching subsystem and a closed-loop control subsystem; and the closed-loop control subsystem is provided with a PID control module, and the PID control module is provided with an adaptive model for realizing the parameters tuning method of the energy storage system. In addition, the invention can realize the parameters tuning of the energy storage system, so that the control can adapt to the characteristics of the distributed energy storage system, deal with the uncertainty to achieve better control effect, and reduce the failure rate and maintenance cost.

A method is disclosed for controlling a charge transfer of an electric vehicle using an electric vehicle charging station, a mobile device, and a cloud server. The method includes receiving, at a mobile device, a message for an electric vehicle of a user from the electric vehicle charging station, wherein a user of the mobile device is associated with the electric vehicle to be charged. The method also includes receiving the charging control signal from the cloud server via the mobile device at the electric vehicle charging station in response to authorizing a charging control signal using identification information and credit account information received from the mobile device, wherein the charging control signal is configured to adjust a parameter used to draw electric power from the electric vehicle charging station.