Vehicle battery health optimization and communication
Vehicle battery health optimization and communication (e.g., using a computerized tool) are enabled. For example, a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a battery health component that, using a defined battery health algorithm and a battery sensor, determines degradation of a battery of a vehicle, and a communication component that, based on the degradation of the battery and a traveling direction of a user of the vehicle, external to the vehicle, transmits a message representative of the degradation of the battery.
1. A system, comprising:
a memory that stores computer executable components; and
a processor that executes at least one of the computer executable components that:
determines, using a machine learning model, degradation of a battery of a vehicle based upon health metric data generated by a first sensor monitoring the battery;
determines, using a second sensor, a walking direction of a user relative to the vehicle, wherein the user is an operator of the vehicle and is outside of the vehicle; and
based on the degradation of the battery and the walking direction of the user relative to the vehicle satisfying defined criteria, transmits a message representative of the degradation of the battery to a mobile device associated with the user, wherein the message cause a notification to be displayed on the mobile device.
2. The system of claim 1 , wherein the message comprises one or more selectable options transmitted to the mobile device and wherein the one or more selectable options are executable by the processor that are determined to mitigate further degradation of the battery.
3. The system of claim 2 , wherein the at least one of the computer executable components further initiate an action based on receipt of a transmission indicating a selection, by the user, of one of the one or more selectable options.
4. The system of claim 2 , wherein the user comprises a first user, and wherein the at least one of the computer executable components transmits the message to a second user associated with the vehicle, other than the first user, in response to not receiving a transmission indicating selection of a selectable option of the one or more selectable options within a defined amount of time.
5. The system of claim 2 , wherein the at least one of the computer executable components further determines the one or more selectable options using the machine learning model trained using training data associated with past degradations of other batteries, other than the battery.
6. The system of claim 1 , wherein the message is transmitted via an infotainment device of the vehicle.
7. The system of claim 1 , wherein the message is transmitted via a vehicle-to-everything communication protocol.
8. The system of claim 1 , wherein the at least one of the computer executable components further determines, using the machine learning model, a cause for the degradation of the battery.
9. The system of claim 1 , wherein the at least one of the computer executable components, in response to determining that the walking direction of the user is toward the vehicle, prevents transmission of the message.
10. The system of claim 1 , wherein the user is a most recent operator of the vehicle.
11. The system of claim 1 , wherein the user is associated with a user profile registered with the vehicle, and wherein the message is transmitted based on the user profile.
12. A non-transitory machine-readable medium comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
determining, using a machine learning model, degradation of a battery of a vehicle based upon health metric data generated by a first sensor monitoring the battery;
determining, using a second sensor, a walking direction of a user relative to the vehicle, wherein the user is an operator of the vehicle and is outside of the vehicle; and
based on the degradation of the battery and the walking direction of the user relative to the vehicle satisfying defined criteria, transmitting a message representative of the degradation of the battery to a mobile device associated with the user, wherein the message cause a notification to be displayed on the mobile device.
13. The non-transitory machine-readable medium of claim 12 , wherein the message comprises one or more selectable options transmitted to the mobile device, and wherein the one or more selectable options are executable by the processor that are determined to mitigate further degradation of the battery.
14. The non-transitory machine-readable medium of claim 13 , wherein the operations further comprise initiating an action based on receipt of a transmission indicating a selection, by the user, of one of the one or more selectable options.
15. The non-transitory machine-readable medium of claim 12 , wherein the message is transmitted via an infotainment device of the vehicle.
16. The non-transitory machine-readable medium of claim 12 , wherein the operations further comprise, in response to determining that the walking direction of the user is toward the vehicle, preventing transmission of the message.
17. A method, comprising:
determining, by a system comprising a processor, using a machine learning model, degradation of a battery of a vehicle based upon health metric data generated by a first sensor monitoring the battery;
determining, by the system, using a second sensor, a walking direction of a user relative to the vehicle, wherein the user is an operator of the vehicle and is outside of the vehicle; and
based on the degradation of the battery and the walking direction of the user relative to the vehicle satisfying defined criteria, transmitting, by the system, a message representative of the degradation of the battery to a mobile device associated with the user, wherein the message cause a notification to be displayed on the mobile device.
18. The method of claim 17 , wherein the message comprises one or more selectable options transmitted to the mobile device and wherein the one or more selectable options are executable by the processor that are determined to mitigate further degradation of the battery.
19. The method of claim 18 , further comprising:
initiating, by the system, an action based on receipt of a transmission indicating a selection, by the user, of one of the one or more selectable options.
20. The method of claim 17 , further comprising:
in response to determining that the walking direction of the user is toward the vehicle, preventing, by the system, transmission of the message.