Amazon patents drone that can land on an electric car to recharge it

  • The patent details a drone that can dock into electronic vehicles to charge them
  • The drone system could work with vehicles that are either moving or stationary 
  • Once the drone connects to the vehicle, it can transfer energy from its batteries
  • It may be remotely controlled by a human or controlled in part by computers  

Are you considering buying an electric car, but have concerns about how you'll charge it while on the go? 

A new patent granted to Amazon might have the answer to this problem.

The patent details a drone that can dock into electronic vehicles while they're moving to charge them.

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A patent filed last month detailed a drone that can dock into electronic vehicles while they're moving to charge them. Pictured is an illustration from the patent file, showing an example of the drone docking system

Pictured is an illustration from the patent file, showing an example of the drone docking system. The system would work by deploying a drone to connect to the docking mechanism, thereby allowing it to charge the vehicle while it's moving or stationary

HOW AMAZON'S DRONE CHARGER WOULD WORK 

A new patent granted to Amazon details a system that would allow a drone to dock into electronic vehicles while they're moving in order to charge them.

According to the patent, the autonomous drone could be able to locate the electric vehicle at a 'rendezvous location,' connecting with the vehicle while it moves.

Once the drone connects to the vehicle, it can transfer energy from its batteries allow the vehicle to continue to move. 

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One of the patent's drawings shows a car with a docking mechanism on its roof. 

The system would work by deploying a drone to connect to the docking mechanism, thereby allowing it to charge the vehicle while it's moving or stationary. 

According to Greentech Media, the technology 'has the potential to solve several persistent problems in the electric vehicle market: charging infrastructure and range anxiety.' 

According to the patent, the autonomous drone could be able to locate the electric vehicle at a 'rendezvous location,' connecting with the vehicle while it moves. 

Once the drone connects to the vehicle, it can transfer energy from its batteries allow the vehicle to continue to move. 

It could also use sensors to identify hazards and potential obstacles such as trees.  

The patent explains that the vehicle can request energy from a server, which then dispatches a drone that can locate the vehicle. 

To prevent energy theft, the patent details potential authentication processes, such as drones that are configured to provide only certain types of energy for certain types of vehicles, and drones that may request information from the vehicle to make sure it has the correct components to accept the energy. 

The drone could also conduct a second authentication process when it docks into the vehicle. 

The drone charging system could be configured to help supply vehicles with enough energy to reach a designated destination, such as a recharge station. 

Given that Amazon is developing its PrimeAir drone delivery service, it's possible that the vehicle charging drone technology could be based on this

Given that Amazon is developing its PrimeAir drone delivery service, it's possible that the vehicle charging drone technology could be based on this

'Operation of the UAV (drone) may be remotely controlled by a human operator at another location, such as in a control facility or another vehicle,' the patent reads. 

'In some implementations, the UAV may be controlled at least in part by computers or other data processing devices at another location, such as datacenter.' 

While Amazon's drone charging patent has been granted by the United States Patent and Trademark Office, it is unclear what drone technology the mechanism will rely on - if the patent is ever put to use. 

However, given that Amazon is developing its PrimeAir drone delivery service, it's possible that the vehicle charging drone technology could be based on this. 

 

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