US2024042887A1PendingUtilityA1

Vehicle charging system

Assignee: ELECTRIC ERA TECH INCPriority: Aug 3, 2022Filed: Aug 9, 2023Published: Feb 8, 2024
Est. expiryAug 3, 2042(~16 yrs left)· nominal 20-yr term from priority
H02J 7/933B60L 53/67H02J 7/342B60L 53/63B60L 53/53H02J 7/00712B60L 53/64B60L 2260/46Y02T10/70Y02T90/12Y02T10/7072
50
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Claims

Abstract

A charging network includes one or more charging systems configured to be electrically coupled with a power source. The charging system includes a grid interconnect, a battery energy storage system electrically coupled with the grid interconnect, a charging station electrically coupled with the grid interconnect and the battery energy storage system in parallel, and a computing system. The computing system is configured to determine a requested power load by the charging station at a defined time; determine a defined power value of the grid interconnect; determine one or more charging parameters based at least in part on the requested power load by the charging station at the defined time and the defined power value of the grid interconnect; and generate one or more commands for the battery energy storage system or the charging station to provide a power load based on the one or more charging parameters.

Claims

exact text as granted — not AI-modified
1 . A charging network comprising:
 a charging system configured to be electrically coupled with a power source, the charging system comprising:
 a grid interconnect; 
 a battery energy storage system electrically coupled with the grid interconnect; 
 a charging station electrically coupled with the grid interconnect and the battery energy storage system in parallel; and 
   a computing system operably coupled with the battery energy storage system and the charging station, the computing system including a processor and associated memory, the memory storing instructions that, when implemented by the processor, configure the computing system to:
 determine a requested power load by the charging station at a defined time; 
 determine a defined power value of the grid interconnect; 
 determine one or more charging parameters based at least in part on the requested power load by the charging station at the defined time and the defined power value of the grid interconnect; and 
 generate one or more commands for the battery energy storage system or the charging station to provide a power load based on the one or more charging parameters. 
   
     
     
         2 . The charging network of  claim 1 , wherein the one or more commands for the battery energy storage system to provide a power load based on the one or more charging parameters further includes providing an additional amount of power to supplement power provided by a power source. 
     
     
         3 . The charging network of  claim 1 , wherein the one or more charging parameters are at least partially based on a predicted vehicle flow over a defined period. 
     
     
         4 . The charging network of  claim 1 , wherein the one or more charging parameters are at least partially based on an expected power load over a defined period. 
     
     
         5 . The charging network of  claim 1 , wherein the one or more charging parameters are at least partially based on a peak shaving estimation algorithm that produces a peak shave target for the battery energy storage system. 
     
     
         6 . The charging network of  claim 1 , wherein the one or more commands for the battery energy storage system to provide a power load based on the one or more charging parameters includes generating a power limit for the charging station to maintain the power load from the grid interconnect below a specified value. 
     
     
         7 . The charging network of  claim 1 , wherein the power load provided to the charging station is varied over time. 
     
     
         8 . The charging network of  claim 1 , wherein the battery energy storage system is remote from the charging station. 
     
     
         9 . The charging network of  claim 1 , further comprising:
 a first meter operably coupled with a first connection line upstream of the grid interconnect; and   a second meter operably coupled with a second connection line between the grid interconnect and the battery energy storage system.   
     
     
         10 . The charging network of  claim 1 , wherein a machine-learned model is used to determine the one or more charging parameters. 
     
     
         11 . A method for operating a charging network, the method comprising:
 receiving a requested power load by a charging station at a defined time;   determining a defined power value of a grid interconnect;   determining one or more charging parameters based at least in part on the requested power load by the charging station at the defined time and the defined power value of the grid interconnect; and   generating one or more commands for a battery energy storage system or the charging station to provide a power load based on the one or more charging parameters.   
     
     
         12 . The method for operating a charging network of  claim 11 , wherein the one or more commands for the battery energy storage system to provide a power load based on the one or more charging parameters further includes providing an additional amount of power to supplement power provided by the grid. 
     
     
         13 . The method for operating a charging network of  claim 11 , further comprising:
 predicting vehicle flow over a defined period, wherein determining the one or more charging parameters is based at least in part on the predicted vehicle flow.   
     
     
         14 . The method for operating a charging network of  claim 11 , further comprising:
 determining an expected power load over a defined period, wherein the one or more charging parameters are at least partially based on the expected power load over a defined period.   
     
     
         15 . The method for operating a charging network of  claim 11 , further comprising:
 producing a peak shave target for the battery energy storage system based on a peak shaving estimation algorithm, wherein the one or more charging parameters are at least partially based on the peak shave target for the battery energy storage system.   
     
     
         16 - 20 . (canceled) 
     
     
         21 . The charging network of  claim 1 , wherein the power load includes a portion of power from the grid interconnect and a portion of power from the battery energy storage system. 
     
     
         22 . The charging network of  claim 1 , wherein the power load is determined prior to supplying the power load. 
     
     
         23 . The charging network of  claim 6 , wherein the power load exceeds the defined power value of the grid interconnect.

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