Methods and systems for managing chargers for electrical vertical takeoff and landing aircrafts

Abstract

A system for charger management for electrical vertical takeoff and landing aircrafts includes a sensor connected to the first charger. The sensor is configured to detect a battery metric and transmit the metric to a computing device. The computing device is connected to a mesh network. The mesh network contains many aircrafts connected to chargers. The charger management system manages the charging of the aircraft.

What is claimed is: 
     
         1 . A system for managing at least a battery for an electric vertical takeoff and landing aircraft, the system comprising:
 a battery cell;   at least a sensor incorporated with the battery cell, the at least a sensor configured to detect at least a battery metric;   a computing device communicatively connected to the battery cell and the at least a sensor, the computing device configured to:
 receive the at least a battery metric from the at least a sensor; and 
 transmit the at least a battery metric to a user, wherein the at least a battery metric comprises a gas concentration. 
   
     
     
         2 . The system of  claim 1 , wherein the gas concentration is detected during battery cell failure. 
     
     
         3 . The system of  claim 1 , wherein the gas concentration is detected after battery cell failure. 
     
     
         4 . The system of  claim 1 , wherein the gas concentration comprises vent gas from the battery cell 
     
     
         5 . The system of  claim 1 , wherein the battery metric comprises a measure of thermal runaway. 
     
     
         6 . The system of  claim 5 , wherein the computing device is further configured to predict a battery failure as a function of the measure of thermal runaway. 
     
     
         7 . The system of  claim 6 , wherein predicting the battery failure comprises determining a probability of the battery failure as a function of the gas concentration. 
     
     
         8 . The system of  claim 7 , wherein the probability is calculated by comparing the gas concentration to a threshold gas concentration, wherein the threshold gas concentration indicates an onset of the battery failure. 
     
     
         9 . The system of  claim 1 , wherein the at least a sensor comprises a sensor suite, the sensor suite configured to redundantly measure the gas concentration. 
     
     
         10 . The system of  claim 1 , wherein the computing device is further communicatively connected an additional battery cell and at least an additional sensor, and wherein the computing device is further configured to predict a failure of the additional battery cell as a function of the battery cell. 
     
     
         11 . A method for managing at least a battery for an electric vertical takeoff and landing aircraft, the method comprising:
 detecting, by at least a sensor, at least a battery metric;   transmitting, by at least a sensor, at least a battery metric to the computing device;   receiving, by a computing device, the at least a battery metric from the at least a sensor; and   transmitting, by a computing device, the at least a battery metric to a user, wherein the at least a battery metric comprises a gas concentration.   
     
     
         12 . The method of  claim 11 , wherein detecting the at least a battery metric comprises detecting the gas concentration. 
     
     
         13 . The method of  claim 11 , wherein detecting the at least a battery metric occurs during battery cell failure. 
     
     
         14 . The method of  claim 11 , wherein detecting the at least a battery metric occurs after battery cell failure. 
     
     
         15 . The method of  claim 14 , wherein transmitting the at least a battery metric comprises transmitting a measure of thermal runaway. 
     
     
         16 . The method of  claim 15 , further comprising, predicting, by the computing device, a battery failure as a function of the measure of thermal runaway. 
     
     
         17 . The method of  claim 16 , wherein predicting the battery failure further comprises predicting, by the computing device, a probability of the battery failure as a function of the gas concentration. 
     
     
         18 . The method of  claim 7 , further comprising predicting the probability comprises comparing the gas concentration to a threshold gas concentration, wherein the threshold gas concentration indicates an onset of battery failure. 
     
     
         19 . The method of  claim 11 , further comprises redundantly measuring, by a sensor suite, the gas concentration.