EV battery degradation in a fleet
An example operation includes one or more of determining objects to be delivered by a group of vehicles, and choosing a vehicle of the group of vehicles with a most degraded battery to transport a heaviest object of the objects.
1. A method, comprising:
identifying, via a software application, an electric vehicle (EV) among a plurality of EVs with a most degraded electric battery based on battery characteristics of the plurality of EVs;
querying, via the software application, a server for details of objects to be delivered by the plurality of EVs;
determining, via the software application, the objects to be delivered by the plurality of EVs based on the battery characteristics and the details of the objects;
identifying, via the software application, a heaviest object of the objects that is to be delivered within a radius from the EV with the most degraded electric battery in the plurality of EVs; and
transmitting, via the software application, an instruction that controls the EV with the most degraded electric battery to autonomously-maneuver along a route.
2. The method of claim 1 , wherein the transmitting comprises transmitting the route that is within the radius from a starting location to the EV with the most degraded electric battery.
3. The method of claim 1 , comprising:
choosing another EV in the plurality of EVs with a next most degraded battery to transport the heaviest object when the EV with the most degraded electric battery is unable to transport the heaviest object.
4. The method of claim 1 , wherein the identifying the EV with the most degraded electric battery is performed based on an age of the electric battery of the EV, a history of one or more of a number of charging cycles of the electric battery, and a rate of a received charge of the electric battery.
5. The method of claim 1 , wherein the method further comprises assigning, via the software application, the EV with the most degraded electric battery a minimum number of deliveries per period as compared with other EVs in the plurality of EVs.
6. The method of claim 1 , comprising:
determining a ranking of the plurality of EVs based on a degradation of each battery included in each EV among the plurality of EVs; and
choosing a route for each EV based on the ranking of the plurality of EVs.
7. The method of claim 1 , comprising:
executing the software application via an electronic control unit (ECU) of the EV.
8. A system, comprising:
a processor and memory communicably coupled to the processor, wherein the processor is configured to:
identify an electric vehicle (EV) among a plurality of EVs with a most degraded electric battery based on battery characteristics of the plurality of EVs;
query a server for details of objects to be delivered by the plurality of EVs;
determine the objects to be delivered by the plurality of EVs based on the battery characteristics and the details of the objects;
identify a heaviest object of the objects that is to be delivered within a radius from the EV with the most degraded electric battery in the plurality of EVs; and
transmit an instruction that controls the EV with the most degraded electric battery to autonomously-maneuver along a route.
9. The system of claim 8 , wherein the processor is configured to transmit the route that is within the radius from a starting location to the EV with the most degraded electric battery.
10. The system of claim 8 ,
wherein the processor is further configured to choose another EV in the plurality of EVs with a next most degraded battery to transport the heaviest object when the EV with the most degraded electric battery is unable to transport the heaviest object.
11. The system of claim 8 , wherein the processor is configured to identify the EV with the most degraded electric battery is performed based on an age of the electric battery of the EV, a history of one or more of a number of charging cycles of the electric battery, and a rate of a received charge of the electric battery.
12. The system of claim 8 , wherein the processor is configured to assign the EV with the most degraded electric battery a minimum number of deliveries per period as compared with other EVs in the plurality of EVs.
13. The system of claim 8 , wherein the processor is further configured to:
determine a ranking of the plurality of EVs based on a degradation of each battery included in each EV among the plurality of EVs; and
choose a route for each EV based on the ranking of the plurality of EVs.
14. The system of claim 8 , wherein the processor is further configured to:
execute via an electronic control unit (ECU) of the EV.
15. A non-transitory computer readable medium comprising instructions, that when read by a processor, cause the processor to perform:
identifying an electric vehicle (EV) among a plurality of EVs with a most degraded electric battery based on battery characteristics of the plurality of EVs;
querying a server for details of objects to be delivered by the plurality of EVs;
determining the objects to be delivered by the plurality of EVs based on the battery characteristics and the details of the objects;
identifying a heaviest object of the objects that is to be delivered within a radius from the EV with the most degraded electric battery in the plurality of EVs; and
transmitting an instruction that controls the EV with the most degraded electric battery to autonomously-maneuver along a route.
16. The non-transitory computer readable medium of claim 15 , wherein the transmitting comprises transmitting the route that is within the radius from a starting location to the EV with the most degraded electric battery.
17. The non-transitory computer readable medium of claim 15 , comprising:
choosing another EV in the plurality of EVs with a next most degraded battery to transport the heaviest object when the EV with the most degraded electric battery is unable to transport the heaviest object.
18. The non-transitory computer readable medium of claim 15 , wherein the identifying the EV with the most degraded electric battery is performed based on an age of the electric battery of the EV, a history of one or more of a number of charging cycles of the electric battery, and a rate of a received charge of the electric battery.
19. The non-transitory computer readable medium of claim 15 , comprising:
assigning the EV with the most degraded electric battery a minimum number of deliveries per period as compared with other EVs in the plurality of EVs.
20. The non-transitory computer readable medium of claim 15 , comprising:
determining a ranking of the plurality of EVs based on a degradation of each battery included in each EV among the plurality of EVs; and
choosing a route for each EV based on the ranking of the plurality of EVs.