The present invention relates to a method of managing an energy storage system (ESS) of a vehicle, wherein the energy storage system has a beginning of life (BOL). The vehicle has at least a first application and a second application, and the energy storage system has a first end of life (EOL.sub.1) for the first application and a second end of life (EOL.sub.2) for the second application. Further, the ESS has a first lifetime between the BOL and the EOL and a second lifetime between the BOL and the EOL.sub.2. The method comprises the steps of: a) determining energy and/or power requirement for the vehicle being in the first application; b) defining energy and/or power of the energy storage system at the beginning of life (BOL) of the energy storage system of the vehicle; c) determining a first state of health value SOH.sub.1 at the first end of life (EOL.sub.1) of the energy storage system of the vehicle being in the first application; d) determining energy and/or power requirement for the vehicle being in the second application; e) determining a second state of health value SOH.sub.2 at the second end of life (EOL.sub.2) of the energy storage system if the vehicle is used in the second application.

The present invention relates to a method of managing an energy storage system (ESS) of a vehicle, wherein the energy storage system has a beginning of life (BOL). The vehicle has at least a first application and a second application, and the energy storage system has a first end of life (EOL.sub.1) for the first application and a second end of life (EOL.sub.2) for the second application. Further, the ESS has a first lifetime between the BOL and the EOL and a second lifetime between the BOL and the EOL.sub.2. The method comprises the steps of: a) determining energy and/or power requirement for the vehicle being in the first application; b) defining energy and/or power of the energy storage system at the beginning of life (BOL) of the energy storage system of the vehicle; c) determining a first state of health value SOH.sub.1 at the first end of life (EOL.sub.1) of the energy storage system of the vehicle being in the first application; d) determining energy and/or power requirement for the vehicle being in the second application; e) determining a second state of health value SOH.sub.2 at the second end of life (EOL.sub.2) of the energy storage system if the vehicle is used in the second application.

A flight control apparatus is a flight control apparatus for controlling a flight device operating by electric battery power supplied from a battery and includes a flight path acquisition unit that acquires a flight path, a flight control unit that causes the flight device to fly along the flight path, a battery remaining capacity acquisition unit that acquires a remaining capacity of the battery, and a specifying unit that specifies a charging facility for charging the battery, which corresponds to a position of the flight device, in which the flight control unit causes the flight device to fly to the specified charging facility and charge the battery, and then, causes the flight device to fly to the flight path, if the remaining capacity is less than or equal to a threshold value while the flight device flies along the flight path.

The invention relates to a charging system (1) for dynamic charging of electric vehicles (2), comprising at least one navigation function on at least one mobile device (3) or connectable to a navigation device (22), and/or software application (4) installed and executed on at least one server, and a plurality of mobile charging vehicles (5) each having a navigation apparatus (51) configured to, inter alia, transmit a current position (P5) of each mobile charging vehicle (5) of the charging system (1) to the software application (4), wherein the software application (4) is configured to display at least the respective next mobile charging vehicle (5) on the mobile device (3) located in an electric vehicle (2) and, in the case that an electric battery (21) of the electric vehicle (2) is to be charged, to transmit a charging request for this electric vehicle (2) and at least one current position (P2) of the electric vehicle (2) to the displayed mobile charging vehicle (5), wherein the navigation apparatus (51) of the charging vehicle (5) is configured for transmitting coordinates of a suitable common meeting point (TP) and a suitable meeting time (TZ) for charging the battery (21) of the electric vehicle (2) to the mobile device (3) in the electric vehicle (2) to be charged on the basis of the received charging request, wherein the software application (4) is configured to convert the meeting point (TP) and meeting time (TZ) into navigation instructions for a driver of the electric vehicle (2) to be charged.

Working equipment including a hydraulically movable arm arrangement for a crane, an electric motor, a hydraulic pump, and a pump controller. An equipment controller is arranged to determine a maximum flow limit from the pump in dependence of a comparison of a current limit received from a battery system and a current consumption monitored by the pump controller, and to compare the determined limit with required flow of hydraulic fluid from the pump needed to move the movable arm arrangement in accordance with operating signals, and if the result does not fulfil a rule of a set of fluid control rules, the controller adapts the operating signals to reduce flow of hydraulic fluid to at least one of a plurality of actuators according to a rule of a set of adaptation rules, such that at least one rule of the set of fluid control rules is fulfilled.

A propulsion control system has an electric motor configured to generate an axle torque in response to a final torque command, and has a motor constraint that specifies a maximum torque. A motor controller is configured to generate the final torque command in response to an intermediate torque command and a distributed power limit command. An open-loop function in supervisory controller is configured to calculate an initial torque command vector in response to a driver torque command, calculate an intended operating vector by mapping the initial torque command vector into a multidimensional power space, generate the intermediate torque command by clipping the intended operating vector in response to the motor constraint, generate a constrained command vector by clipping the intended operating vector in response to the motor constraint and a plurality of energy storage constraints, and generate the distributed power limit command in response to the constrained command vector.

A power storage system having excellent characteristics is provided. A power storage system having high safety is provided. A power storage system with little degradation is provided. A storage battery having excellent characteristics is provided. A method of operating a power storage system including a storage battery, a first circuit having a function of measuring an impedance, and a neural network includes a first step of stopping charging or discharging of the storage battery, a second step of measuring an open circuit voltage of the storage battery, a third step of measuring an impedance of the storage battery, a fourth step of inputting the open circuit voltage and the impedance that are measured to the input layer, a fifth step of outputting a first signal from the output layer, a sixth step of changing a condition of charging or discharging of the storage battery in accordance with the first signal, and a seventh step of starting charging or discharging of the storage battery; the first signal corresponds to the estimated value of the discharge capacity of the storage battery.

A method for predictive charging control for an electrical energy store of a motor vehicle, wherein an energy exchange between the energy store and an electrical energy source is controlled by a charging device. This provides that a future time profile of a non-energy requirement resulting from a respective parking phase of the motor vehicle is predicted and, independently of an availability of a charging power of the energy source, a state of charge of the energy store is kept below a limit value by the charging device if the predicted time profile of the non-energy requirement satisfies a predetermined rest criterion for a predetermined next time interval.

A vehicle includes a battery pack including a secondary battery and a first control device, a second control device provided separately from the battery pack, and a converter. The converter is configured to select a conversion formula from options depending on a situation and use the selected conversion formula to convert at least one of a first current upper limit value and a second current upper limit value into at least one of a first power upper limit value and a second power upper limit value.

A battery management system for batteries, such as, but not limited to, electric vehicle battery packs and cells, lithium iron phosphate batteries, lead acid batteries, gel batteries, and absorbed gel mat batteries, in engine start applications is disclosed. The battery management system is configured to control the charge and charging of each cell individually. The battery management system may be configured to control the charge of a battery which may consist of a plurality of cells, such as, but not limited to, lithium iron phosphate cells, and in at least one embodiment, the battery may consist of, but is not limited to being formed from, four lithium iron phosphate cells connected in series and a battery management system to ensure proper charge and safe operation.