IP Library Granted Patent US 11,623,540
Granted Patent B2
US 11,623,540 · App. 17/147,614 · Granted Apr 11, 2023

Transport recharge level determination

Inventors: Norman Lu (Fairview, TX); Maximilian Parness (Takoma Park, MD)
Assignee: TOYOTA MOTOR NORTH AMERICA, INC.
B60L53/665B60L53/63B60L53/67B60L53/68
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Quick Facts
Patent No.
US 11,623,540
App. No.
17/147,614
Granted
Apr 11, 2023
Kind
B2
Abstract

An example operation includes one or more of determining, by a charging station, a grade associated with an operation of a transport and allowing, by the charging station, a recharging level related to the grade and an environmental impact of the recharging level.

Claims (58)

1. A method, comprising:

determining, by a charging station; a grade associated with an operation of a transport; and

allowing, by the charging station, a recharging level related to the grade and an environmental impact of the recharging level.

2. The method of claim 1 , comprising:

inferring, by the charging station, an adjustment to the recharging level based on the grade,

wherein a higher grade corresponds to a lower environmental impact and a higher recharging level,

wherein a lower grade corresponds to a higher environmental impact and a lower recharging level.

3. The method of claim 1 , wherein allowing the recharging level comprises:

determining a plurality of charging stations having different environmental impacts from different energy sources; and

selecting one of the plurality of charging stations to recharge the transport based on the grade,

wherein a lower grade limits selectable charging stations to only charging stations sourcing energy from clean energy sources.

4. The method of claim 1 , wherein a queue of transports are waiting to charge, wherein the grade of the transport determines a position in the queue relative to other transports in the queue.

5. The method of claim 1 , wherein a most recent history of recharging levels determines the environmental impact, wherein in response to the most recent history indicating an average recharging level above a predetermined value:

determining a high environmental impact; and

reducing the recharging level.

6. The method of claim 1 , comprising:

determining, by the charging station, a number of credits based on the recharging level;

creating a blockchain transaction, by the charging station, to record the number of credits and the recharging level to a shared ledger of a blockchain network;

validating the blockchain transaction, wherein the validation comprises a blockchain consensus between a peer group comprising the transport and charging station; and

committing the blockchain transaction to the shared ledger.

7. The method of claim 6 , comprising:

executing a smart contract, by the charging station, to retrieve the number of credits and the recharging level from the shared ledger.

8. A system, comprising:

a processor; and

a memory, coupled to the processor, comprising instructions that when executed by the processor are configured to:

determine, by a charging station, a grade associated with an operation of a transport; and

allow, by the charging station, a recharging level d to the grade and an environmental impact of the recharging level.

9. The system of claim 8 , wherein the charging station infers an adjustment to the recharging level based on the grade, wherein a higher grade corresponds to a lower environmental impact and a higher recharging level, wherein a lower grade corresponds to a higher environmental impact and a lower recharging level.

10. The system of claim 8 , wherein the charging station allows the recharging level comprises the charging station determines a plurality of charging stations having different environmental impacts from different energy sources and the charging station selects one of the plurality of charging stations to recharge the transport based on the grade, wherein a lower grade limits selectable charging stations to only charging stations that source energy from clean energy sources.

11. The system of claim 8 , wherein a queue of transports wait to charge, wherein the grade of the transport determines a position in the queue relative to other transports in the queue.

12. The system of claim 8 , wherein a most recent history of recharging levels determines the environmental impact, wherein in response to the most recent history indicates an average recharging level above a predetermined value, the charging station determines a high environmental impact and reduces the recharging level.

13. The system of claim 8 , wherein the instructions are configured to:

determine, by the charging station, a number of credits based on the recharging level;

create a blockchain transaction, by the charging station, to record the number of credits and the recharging level to a shared ledger of a blockchain network;

validate the blockchain transaction, wherein the validation comprises a blockchain consensus between a peer group comprising the transport and charging station; and

commit the blockchain transaction to the shared ledger.

14. The system of claim 13 , wherein the instructions are configured to:

execute a smart contract, by the charging station, to retrieve the number of credits and the recharging level from the shared ledger.

15. A non-transitory computer readable medium comprising instructions, that when read by a processor, cause the processor to perform:

determining, by a charging station, a grade associated with an operation of a transport; and allowing, by the charging station, a recharging level related to the grade and an environmental impact of the recharging level.

16. The non-transitory computer readable medium of claim 15 , wherein the instructions cause the processor to perform:

inferring, by the charging station, an adjustment to the recharging level based on the grade,

wherein a higher grade corresponds to a lower environmental impact and a higher recharging level,

wherein a lower grade corresponds to a higher environmental impact and a lower recharging level.

17. The non-transitory computer readable medium of claim 15 , wherein allowing the recharging level comprises:

determining a plurality of charging stations having different environmental impacts from different energy sources; and

selecting one of the plurality of charging stations to recharge the transport based on the grade,

wherein a lower grade limits selectable charging stations to only charging stations sourcing energy from clean energy sources.

18. The non-transitory computer readable medium of claim 15 , wherein a queue of transports are waiting to charge, wherein the grade of the transport determines a position in the queue relative to other transports in the queue.

19. The non-transitory computer readable medium of claim 15 , wherein a most recent history of recharging levels determines the environmental impact, wherein in response to the most recent history indicating an average recharging level above a predetermined value, the instructions cause the processor to perform:

determining a high environmental impact; and

reducing the recharging level.

20. The non-transitory computer readable medium of claim 15 , wherein the instructions further cause the processor to perform:

determining, by the charging station, a number of credits based on the recharging level;

creating a blockchain transaction, by the charging station, to record the number of credits and the recharging level to a shared ledger of a blockchain network;

validating the blockchain transaction, wherein the validation comprises a blockchain consensus between a peer group comprising the transport and charging station;

committing the blockchain transaction to the shared ledger; and

executing a smart contract, by the charging station, to retrieve the number of credits and the recharging level from the shared ledger.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 13, 2021
From: LU, NORMAN; PARNESS, MAXIMILIAN
To: TOYOTA MOTOR NORTH AMERICA, INC.
Reel/Frame 054902/0415 →
Continuity (1)
Related Publication 20220219563A1 · Jul 14, 2022