Abstract: An apparatus for determining a resource remaining datum of an electric aircraft is disclosed. The apparatus includes a processor and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to receive aircraft data from at least a sensing device, wherein the at least a sensing device is configured to measure at least a parameter of a battery pack of the electric aircraft and generate aircraft data as a function of the at least a parameter of the battery pack of the electric aircraft. The memory contains instructions configuring the processor to determine a reserve energy as a function of a flight mode of the electric aircraft and determine a resource remaining datum as a function of the aircraft data and the reserve energy, wherein the resource remaining datum is related to the battery pack of the electric aircraft.

Abstract: A system for dynamic excitation of an energy storage element configured for use in an electric aircraft includes a plurality of propulsors mechanically connected to the electric aircraft. The system includes a plurality of energy storage elements electrically connected to the plurality of propulsors. The system includes a bus element, wherein the bus element is electrically connected to the plurality of energy storage elements and a cross tie element connected to the bus element configured to disconnect a first energy storage element from a second energy storage element. The system includes a modulator unit electrically connected to the bus element configured to modulate a first electrical command to the first energy storage element and a second electrical command to the second energy storage element. The system includes at least a sensor configured to detect an energy datum corresponding to the first energy storage element as a function of the modulation.

Abstract: A system for determining remaining useful energy in an electric aircraft, the system including a computing device where the computing device is configured to measure a internal state datum of a battery as a function of at least a sensor, receive the internal state datum from the at least a sensor, generate a useful energy remaining datum as a function of the internal state datum and a battery model, and display the useful energy remaining datum to a user.

Abstract: An apparatus for determining a resource remaining datum of an electric aircraft is disclosed. The apparatus includes a processor and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to receive aircraft data from at least a sensing device, wherein the at least a sensing device is configured to measure at least a parameter of a battery pack of the electric aircraft and generate aircraft data as a function of the at least a parameter of the battery pack of the electric aircraft. The memory contains instructions configuring the processor to determine a reserve energy as a function of a flight mode of the electric aircraft and determine a resource remaining datum as a function of the aircraft data and the reserve energy, wherein the resource remaining datum is related to the battery pack of the electric aircraft.

Abstract: In an aspect, an assembly for gauging fuel of an electric aircraft is presented. A assembly includes a plurality of battery packs of an electric aircraft. Each battery pack of a plurality of battery packs includes a plurality of battery modules. An assembly include at least a battery sensor in electronic communication with a battery pack of a plurality of battery packs. At least a battery sensor is configured to measure battery data. An assembly includes a computing device communicatively connected to at least a battery sensor. A computing device is configured to receive battery data from at least a battery sensor. A computing device is configured to determine a landing energy as a function of battery data. A computing device is configured to provide landing energy to a user through a display.

Abstract: Aspects relate to a system for discharging a power source of an electric aircraft. System may be configured to transfer power from the electric aircraft via a charging connection. In one or more embodiments, a charging station in electric communication with the power source may discharge the power source. For example, a controller communicatively connected to the electric aircraft may be configured to receive a supply request from a user and subsequently, generate a control signal that initiates a transfer of electrical power from the power supply to discharge the power source so that power data associated with the discharge may be collected and transmitted to the controller or a remote device of the user.

Abstract: A system for predicting degradation of a battery for use in an electric vehicle is presented. The system includes a computing device communicatively connected to at least a pack monitor unit, wherein the at least a pack monitor unit is configured to detect a battery pack datum of a plurality of battery modules incorporated in a battery pack. The computing device is further configured to receive the battery pack datum as a function of the at least a pack monitor unit, generate, as a function of the battery pack datum, a battery pack model associated with the battery pack of the electric vehicle, and determine a battery degradation prediction as a function of the battery pack datum and the battery pack model.

Abstract: A system for dynamic excitation of an energy storage element configured for use in an electric aircraft includes a plurality of propulsors mechanically connected to the electric aircraft. The system includes a plurality of energy storage elements electrically connected to the plurality of propulsors. The system includes a bus element, wherein the bus element is electrically connected to the plurality of energy storage elements and a cross tie element connected to the bus element configured to disconnect a first energy storage element from a second energy storage element. The system includes a modulator unit electrically connected to the bus element configured to modulate a first electrical command to the first energy storage element and a second electrical command to the second energy storage element. The system includes at least a sensor configured to detect an energy datum corresponding to the first energy storage element as a function of the modulation.

Abstract: An apparatus for determining a resource remaining datum of an electric aircraft is disclosed. The apparatus includes a processor and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to receive aircraft data from at least a sensing device, wherein the at least a sensing device is configured to measure at least a parameter of a battery pack of the electric aircraft and generate aircraft data as a function of the at least a parameter of the battery pack of the electric aircraft. The memory contains instructions configuring the processor to determine a reserve energy as a function of a flight mode of the electric aircraft and determine a resource remaining datum as a function of the aircraft data and the reserve energy, wherein the resource remaining datum is related to the battery pack of the electric aircraft.

Abstract: An apparatus for determining a resource remaining datum of an electric aircraft is disclosed. The apparatus includes a processor and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to receive aircraft data from at least a sensing device, wherein the at least a sensing device is configured to measure at least a parameter of a battery pack of the electric aircraft and generate aircraft data as a function of the at least a parameter of the battery pack of the electric aircraft. The memory contains instructions configuring the processor to determine a reserve energy as a function of a flight mode of the electric aircraft and determine a resource remaining datum as a function of the aircraft data and the reserve energy, wherein the resource remaining datum is related to the battery pack of the electric aircraft.

Abstract: A computing device for determining a revised flight plan as a function of battery temperature in an electric aircraft is disclosed. The computing device includes a battery model that may receive a flight plan and communicate with a machine-learning model, which may be trained as a function of a training set correlating data describing the flight plan to battery temperature labels. The battery model may generate a temperature output using the machine-learning model and determine the revised flight plan using the machine-learning model if the temperature output exceeds a threshold temperature. The computing device may receive the temperature output from the battery model and compare the temperature output to the threshold temperature.

Abstract: In an aspect a system for energy tracking in an electric aircraft. A system includes at least a battery pack. At least a battery pack includes a plurality of battery modules. A system includes a sensing device. A sensing device is configured to detect a battery parameter of at least a battery module of a plurality of battery modules. A sensing device is configured to generate battery data as a function of a detected battery parameter of at least a battery module. A system includes a computing device. A computing device is in electronic communication with a sensing device. A computing device is configured to receive battery data from a sensing device. A computing device is configured to determine an energy amount of a plurality of battery packs as a function of battery data.

Abstract: In an aspect of the present disclosure is a system of automated fleet management for aerial vehicles, including a first aerial vehicle, the aerial vehicle comprising: a first sensor configured to measure an external metric and generate external datum based on the external metric; and a second sensor configured to measure an aircraft metric and generate aircraft datum based on the aircraft metric; and a computing device operating on the first aerial vehicle, the computing device communicatively connected to a network including at least a second aerial vehicle, the computing device configured to: receive the external datum from the first sensor of the first aerial vehicle and the aircraft datum from the second sensor of the first aerial vehicle; and transmit at least a flight plan update element to the network based on the external datum and the aircraft datum.

Abstract: An apparatus for generating an electric aircraft flight plan, where the apparatus includes a sensor and controller. The electric aircraft includes a sensor that is configured to detect a position of an electric aircraft, generate a position datum, and transmit the position to a flight controller. The electric aircraft also includes a database of recommended flights. The recommended flight plan is displayed on a display in the electric aircraft.

Abstract: A system for predicting degradation of a battery for use in an electric vehicle is presented. The system includes a computing device communicatively connected to at least a pack monitor unit, wherein the at least a pack monitor unit is configured to detect a battery pack datum of a plurality of battery modules incorporated in a battery pack. The computing device is further configured to receive the battery pack datum as a function of the at least a pack monitor unit, generate, as a function of the battery pack datum, a battery pack model associated with the battery pack of the electric vehicle, and determine a battery degradation prediction as a function of the battery pack datum and the battery pack model.

Abstract: An apparatus for generating an electric aircraft flight plan, where the apparatus includes a sensor and controller. The electric aircraft includes a sensor that is configured to detect a position of an electric aircraft, generate a position datum, and transmit the position to a flight controller. The electric aircraft also includes a database of recommended flights. The recommended flight plan is displayed on a display in the electric aircraft.

Abstract: A system and method for its use for determining a suitable battery pack combination configured for use in an electric aircraft, the system including at least a processor connected to a sensor and a memory containing instructions configuring the at least a processor to receive battery pack status data for each battery pack of a plurality of battery packs, generate a battery pack diagnostic datum for each battery pack of the plurality of battery packs as a function of the battery pack status data of each battery pack of the plurality of battery packs, and determine a suitability of the plurality of battery packs as a function of each battery pack diagnostic datum for each battery pack of the plurality of battery packs.

Abstract: In an aspect of the present disclosure is a computing device for predicting battery temperature in an electric aircraft, the computing device including a controller communicatively connected to the electric aircraft, the controller comprising: a battery model, the battery model configured to: receive a flight plan; instantiate a machine-learning model, wherein the machine-learning model is trained as a function of a training set correlating flight plan data to battery temperature labels.

Abstract: Aspects of the disclosure relate to a system for transmitting battery pack data of an electric aircraft, wherein the system includes a plurality of battery packs. A plurality of battery packs includes a plurality of battery modules and at least a sensor is configured to detect a battery datum. The system also includes a computing device, wherein the computing device is configured to receive the battery datum, analyze the battery datum, and transmit analysis of the battery datum to remote data storage device.

Abstract: In an aspect of the present disclosure is a computing device for predicting battery temperature in an electric aircraft, the computing device including a controller communicatively connected to the electric aircraft, the controller comprising: a battery model, the battery model configured to: receive a flight plan; instantiate a machine-learning model, wherein the machine-learning model is trained as a function of a training set correlating flight plan data to battery temperature labels.