Abstract: This application discloses an apparatus and method for displaying pilot control authority. This apparatus and method include using a controller to identify a condition of an aircraft and determine a limitation in pilot control authority. Using this, an indicator on a display may show a visual representation of a pilot control authority, the limitations thereof, and a pilot input.

Abstract: Aspects relate to method and systems for wrapping simulated intra-aircraft communication to a physical controller area network. An exemplary method includes receiving simulator data from an aircraft simulator, disaggregating a simulated digital message from the simulator data, abstracting a simulated signal as a function of the simulated digital message, transmitting the simulated signal on at least a controller area network (CAN), receiving, using at least an aircraft component communicative with the at least a CAN, the simulated signal by way of the at least a CAN, transmitting a phenomenal signal by way of the at least a CAN, receiving the phenomenal signal by way of the at least a CAN, converting a phenomenal digital message as a function of the phenomenal signal, and inputting the phenomenal digital message to the aircraft simulator.

Abstract: A system and method for storing aircraft component information on an immutable sequential listing, wherein the system comprises a computing device configured to identify a plurality of aircraft components, assign a component identifier to each aircraft component of a plurality of aircraft components, generate, for each component identifier, an immutable sequence entry including the component identifier, and store, for each component identifier, the corresponding immutable sequence entry on at least an immutable sequential listing.

Abstract: Embodiments of the systems and methods disclosed herein describe a data verification of electrical electric components and software systems electronically or mechanically coupled to the electric aircraft by a novel process which starts an electric aircraft and receives physical and software information for each aircraft component or system and determines the status of the health of each of those components or systems. An embodiment may further include a monitoring system configured to measure a plurality of data from each aircraft component and a flight controller communicatively coupled to the monitoring system, wherein the data verification can be performed by the flight controller. Further embodiments may include the flight controller generating an output datum from the assessment produced by the data verification and displaying it to a pilot via an output device.

Abstract: An aircraft for self-neutralizing flight comprising a fuselage, at least a power source, a plurality of laterally extending elements attached to the fuselage, a plurality of downward directed propulsors attached to the plurality of laterally extending elements and electrically connected to at least a power source, wherein the plurality of downward directed propulsors have a rotational axis offset from a vertical axis by a yaw-torque-cancellation angle.

Abstract: A system and method for verifying an aircraft component on an immutable sequential listing is presented. The system comprises a computing device configured to identify an aircraft component of a plurality of aircraft components, wherein each aircraft component of a plurality of aircraft components is associated with a component identifier and verify the aircraft component on an immutable sequential listing as a function of the component identifier.

Abstract: A system for automated flight plan reporting for an electric aircraft, the system including a flight controller coupled to the electric aircraft configured to receive a digital datum from a remote device, generate a plan adjustment datum as a function of the digital datum, and transmit the plan adjustment datum to a pilot display, a pilot display coupled to the electric aircraft, wherein the pilot display is configured to receive the plan adjustment datum from the flight controller, display the plan adjustment datum to a user; and receive a confirmation datum from the user.

Abstract: A system for determining areas of discrepancy in flight for an electric aircraft is presented. The system includes a plurality of sensors, wherein each sensor is communicatively connected to a flight component and configured to detect a measured flight and generate a flight phase datum. The system further includes a computing device communicatively connected to the plurality of sensors, wherein the computing device is configured to determine, by a flight phase machine-learning model, a flight phase discrepancy datum. The computing device is configured to train the flight phase machine-learning using a flight phase training set, wherein the flight phase training set correlates a flight phase to a flight standard and output the flight phase discrepancy datum. The computing device is further configured to identify an anomalous performance phase as a function of the flight phase discrepancy datum and generate a discrepancy response.

Abstract: A fuel-based flight indicator apparatus for an electric aircraft is illustrated. The apparatus comprises a flight indicator and a computing device communicatively connected to the flight indicator, wherein the computing device is configured to receive a battery datum from a battery sensor located in the electric aircraft, receive an environmental datum from an environmental sensor located in the electric aircraft, determine an indicator datum as a function of the battery datum, the environmental datum, and a flight plan, and display the indicator datum on the flight indicator.

Abstract: A system for determining areas of discrepancy in flight for an electric aircraft is presented. The system includes a plurality of sensors, wherein each sensor is communicatively connected to a flight component and configured to detect a measured flight and generate a flight phase datum. The system further includes a computing device communicatively connected to the plurality of sensors, wherein the computing device is configured to determine, by a flight phase machine-learning model, a flight phase discrepancy datum. The computing device is configured to train the flight phase machine-learning using a flight phase training set, wherein the flight phase training set correlates a flight phase to a flight standard and output the flight phase discrepancy datum. The computing device is further configured to identify an anomalous performance phase as a function of the flight phase discrepancy datum and generate a discrepancy response.

Abstract: A fuel-based flight indicator apparatus for an electric aircraft is illustrated. The apparatus comprises a flight indicator and a computing device communicatively connected to the flight indicator, wherein the computing device is configured to receive a battery datum from a battery sensor located in the electric aircraft, receive an environmental datum from an environmental sensor located in the electric aircraft, determine an indicator datum as a function of the battery datum, the environmental datum, and a flight plan, and display the indicator datum on the flight indicator.

Abstract: A fuel-based flight indicator apparatus for an electric aircraft is illustrated. The apparatus comprises a flight indicator and a computing device communicatively connected to the flight indicator, wherein the computing device is configured to receive a battery datum from a battery sensor located in the electric aircraft, receive an environmental datum from an environmental sensor located in the electric aircraft, determine an indicator datum as a function of the battery datum, the environmental datum, and a flight plan, and display the indicator datum on the flight indicator.

Abstract: A system for determining areas of discrepancy in flight for an electric aircraft is presented. The system includes a plurality of sensors, wherein each sensor is communicatively connected to a flight component and configured to detect a measured flight and generate a flight phase datum. The system further includes a computing device communicatively connected to the plurality of sensors, wherein the computing device is configured to determine, by a flight phase machine-learning model, a flight phase discrepancy datum. The computing device is configured to train the flight phase machine-learning using a flight phase training set, wherein the flight phase training set correlates a flight phase to a flight standard and output the flight phase discrepancy datum. The computing device is further configured to identify an anomalous performance phase as a function of the flight phase discrepancy datum and generate a discrepancy response.

Abstract: A assembly for authenticated communication of data during recharge of an electric aircraft is presented. The assembly includes a charging connector, wherein the charging connector is configured to mate with an electric aircraft port of the electric aircraft, and a computing device communicatively connected to the charging connector. The computing device is configured to establish a communication link with an electric aircraft, receive an authentication datum from the electric aircraft, verify the authentication datum as a function of an authentication module, and transmit an aircraft update datum to the electric aircraft as a function of the verification of the authentication datum.

Abstract: A system and method for monitoring and mitigating pilot actions in an electric aircraft is shown. The system comprises a computing device configured to detect at least a first flight datum, determine, as a function of the at least a flight datum, a current flight context, receive a pilot input command, identify, as a function of the current flight context and the pilot input command, a triggering event, and perform a mitigating response as a function of the triggering event.

Abstract: A system for automated flight plan reporting for an electric aircraft, the system including a flight controller coupled to the electric aircraft configured to receive a digital datum from a remote device, generate a plan adjustment datum as a function of the digital datum, and transmit the plan adjustment datum to a pilot display, a pilot display coupled to the electric aircraft, wherein the pilot display is configured to receive the plan adjustment datum from the flight controller, display the plan adjustment datum to a user; and receive a confirmation datum from the user.

Abstract: Aspects relate to augmented reality (AR) methods and systems for simulated operation of an electric vertical take-off and landing (eVTOL) aircraft. An exemplary AR system includes at least an aircraft component of an eVTOL aircraft, a computing device configured to operate a flight simulator to simulate flight in an environment and simulate at least a virtual representation interactive with the flight simulator, where the at least a virtual representation includes an aircraft digital twin of the at least an aircraft component, and a mesh network configured to communicatively connect the at least an aircraft component and the computing device and communicate encrypted data.

Abstract: A system for scaling lag based on flight phase of an electric aircraft is presented. The system include a sensor connected to an electric aircraft configured to detect measured aircraft data, identify a flight phase of the electric aircraft, and generate a flight datum. The system further comprises a computing device communicatively connected to the sensor, wherein the computing device is configured to receive the flight datum and the flight phase, identify an input latency as a function of the flight datum, select a lag frame as a function of the input latency, wherein the lag frame further comprises a lag threshold, and transmit the flight datum to a user device as a function of the lag frame. The system further includes a remotely located user device configured to receive the flight datum.

Abstract: Described in this disclosure are methods of removing one or more battery packs from a battery bay of an electric aircraft so that a payload may be stored within the battery bay of the electric aircraft. The battery bay may be disposed within a fuselage of the electric aircraft. The payload may be loaded into the battery bay using a loading mechanism, such as a conveyor belt. Furthermore, the payload may be secured within the battery bay relative to the electric aircraft by, for example, a fastener.

Abstract: In an aspect of the present disclosure is a system for encrypted flight plan communications, the system including a first computing device communicatively connected to a peer-to-peer network including a second computing device, the first computing device configured to receive a verified flight plan from the second computing device, wherein the verified flight plan is encrypted, wherein the verified flight plan comprises battery datum, and decrypt the verified flight plan.