A battery pack for efficiently supplying a power to a vehicle and including a battery assembly, a power supply terminal connectable to a connection terminal of the vehicle that is connected to a vehicle control unit and a vehicle motor, a power supply path located between the power supply terminal and the battery cell and supplying a power from the battery cell to the power supply terminal, a switching unit provided on the power supply path electrically turn on/off the power supply path, a mounting recognition unit recognizing whether the battery pack is mounted to the vehicle, and a processor controlling the switching unit so that a power is supplied from the battery cell to the vehicle control unit, when receiving a signal from the mounting recognition unit that the battery pack is recognized as being mounted to the vehicle.

A computer implemented method for managing charge availability of a charge unit (CU) to obtain charge for a battery of an electric vehicle (EV) is provided. The CU includes a computer for processing at least part of the method and for communicating with a server over a network. The method includes receiving, by the server, status information from the computer of the CU. The method includes sending to the computer of the CU instructions to make a reservation for the CU. The reservation is for a user account that has requested a desire to charge the battery of the electric vehicle of the user at the CU or another CU. The method includes sending, by the server, a confirmation for the reservation to the user account. The confirmation is viewable via a device having access to the server via the user account. The method includes sending, by the server, a data regarding a time of availability of the CU to the user account for the reservation. The computer of the CU is configured to display a visual indicator regarding the reservation of the CU.

A computer implemented method for managing charge availability of a charge unit (CU) to obtain charge for a battery of an electric vehicle (EV) is provided. The CU includes a computer for processing at least part of the method and for communicating with a server over a network. The method includes receiving, by the server, status information from the computer of the CU. The method includes sending to the computer of the CU instructions to make a reservation for the CU. The reservation is for a user account that has requested a desire to charge the battery of the electric vehicle of the user at the CU or another CU. The method includes sending, by the server, a confirmation for the reservation to the user account. The confirmation is viewable via a device having access to the server via the user account. The method includes sending, by the server, a data regarding a time of availability of the CU to the user account for the reservation. The computer of the CU is configured to display a visual indicator regarding the reservation of the CU.

Presently disclosed subject matter integrates a method of using thousands of semi-autonomous unmanned aerial vehicles, herein called drones, to deliver vastly superior amounts of fire retardant over substantially larger and variably-shaped drop patterns. Each drone is able to swap its own batteries with freshly charged batteries and each drone is able to refill its container with water or fire retardant. Once launched, a swarm of drones can perform repeated trips from the water/retardant source to the fire without human involvement other than the high-level tasking of where to drop the retardant. Once a general drop destination and drop pattern shape is designated, the swarm can transport retardant to that location, form itself into the desired drop shape, and deploy retardant. The drone body is designed to be modular so different components can be attached with ease and no special training or knowledge required.

Presently disclosed subject matter integrates a method of using thousands of semi-autonomous unmanned aerial vehicles, herein called drones, to deliver vastly superior amounts of fire retardant over substantially larger and variably-shaped drop patterns. Each drone is able to swap its own batteries with freshly charged batteries and each drone is able to refill its container with water or fire retardant. Once launched, a swarm of drones can perform repeated trips from the water/retardant source to the fire without human involvement other than the high-level tasking of where to drop the retardant. Once a general drop destination and drop pattern shape is designated, the swarm can transport retardant to that location, form itself into the desired drop shape, and deploy retardant. The drone body is designed to be modular so different components can be attached with ease and no special training or knowledge required.

The invention concerns a system for distributing, delivering and collecting freight, with a number I of mobile freight stations, with I ≥1, each having a first interface for automatically loading freight into freight vehicles from a freight storage of the mobile freight station and for automatically unloading freight from freight vehicles into the freight storage, wherein the freight vehicles are arranged and executed for automatically loading/unloading freight via the first interface and for automatically securing/fixing freight in a storage space of the freight vehicles, the mobile freight stations each have a number ni ≤Ni, with i=1, . . . , I, of delivery robots, where Ni is the maximum number of delivery robots present in the ith freight station and ni is the number of delivery robots currently present in the ith freight station, and the I freight stations each have a loading device for automatically loading the Ni delivery robots with a respective freight from the freight storage and for automatically unloading a respective freight from the N.sub.i delivery robots into the freight storage.

The invention concerns a system for distributing, delivering and collecting freight, with a number I of mobile freight stations, with I ≥1, each having a first interface for automatically loading freight into freight vehicles from a freight storage of the mobile freight station and for automatically unloading freight from freight vehicles into the freight storage, wherein the freight vehicles are arranged and executed for automatically loading/unloading freight via the first interface and for automatically securing/fixing freight in a storage space of the freight vehicles, the mobile freight stations each have a number ni ≤Ni, with i=1, . . . , I, of delivery robots, where Ni is the maximum number of delivery robots present in the ith freight station and ni is the number of delivery robots currently present in the ith freight station, and the I freight stations each have a loading device for automatically loading the Ni delivery robots with a respective freight from the freight storage and for automatically unloading a respective freight from the N.sub.i delivery robots into the freight storage.

In a method for operating an electric vehicle and an electric vehicle, including an electric traction drive device for driving vehicle, a control device for controlling the driving, a first energy storage device, for supplying the control device using a first DC voltage, a second energy storage device, for supplying the traction drive device using a second DC voltage, and an energy supply unit for providing an output DC voltage, the first energy storage device is connected to the second energy storage device via a converter device, the first energy storage device is connected to the energy supply unit, the converter device converts the first DC voltage into the second DC voltage, and a power flow from the second energy storage device to the first energy storage device is prevented.

Described herein are techniques for optimizing charging and/or replacement of battery packs within a fleet of electric vehicles. In some embodiments, such techniques may include receiving information indicating a current status of one or more electric vehicles in a fleet of electric vehicles, identifying schedule data for the one or more electric vehicles, and determining, based on the schedule data and the current status of the one or more vehicles, a charging schedule for the fleet of electric vehicles. The techniques may further include correlating one or more charging plates to the one or more electric vehicles and directing power to the one or more charging plates in accordance with the determined charging schedule.

An unmanned aerial vehicle (UAV) base station includes a housing and a UAV fixation system. The housing includes a top-plate configured for a UAV to land on the top-plate. The UAV fixation system is configured to direct the UAV present on the top-plate to a battery-exchange zone of the top-plate.