Systems and methods for proactive electronic vehicle charging

Patent metadata

Field	Value
Publication number	US-2024157828-A1
Application number	US-202217986442-A
Country	US
Kind code	A1
Filing date	Nov 14, 2022
Priority date	Nov 14, 2022
Publication date	May 16, 2024
Grant date	—

Abstract

Implementations claimed and described herein provide systems and methods for generating instructions for a mobile electric vehicle (EV) charging station to meet an EV at a particular time and place. In one implementation, EV trip data including a remaining range of the EV and an intended route of the EV is collected to determine a range of locations that the EV can stop at along its route without running out of power. Instructions to one of the locations are generated for a mobile EV charging station that is a best fit for arriving at the particular location and for the EV to reach the same location.

First claim

What is claimed is:

1 . A computer-implemented method for mobile electric vehicle (EV) charging, the computer-implemented method comprising:
receiving, at one or more processors, trip data of an EV, the trip data including a remaining range of the EV and a route of the EV, the remaining range of the EV corresponding to a current power level of the EV; predicting, at the one or more processors, that the EV will have a power level below a threshold power level in an area along the route of the EV based on the trip data; determining, at the one or more processors, whether at least one EV charging station is available in the area along the route of the EV; identifying, at the one or more processors, a mobile EV charging station of a plurality of mobile EV charging stations when the at least one EV charging station is unavailable in the area along the route of the EV; and directing the mobile EV charging station to a particular location relative to the route to meet the EV at a particular time.

2 . The computer-implemented method of claim 1 , further comprising:
identifying one or more locations within a set distance along the route; and selecting the particular location from the one or more locations.

3 . The computer-implemented method of claim 1 , further comprising:
connecting, through a network, a client device associated with a driver of the EV with a device associated with the mobile EV charging station via a mobile application; and initiating a communication session between the client device and the device associated with the mobile EV charging station.

4 . The computer-implemented method of claim 1 , further comprising:
sending a notification to a client device associated with a driver of the EV, the notification including an alert that the EV will have the power level below the threshold power level in the area along the route of the EV and a prompt to schedule a charging service at the particular location.

5 . The computer-implemented method of claim 1 , wherein the EV is an autonomous vehicle (AV), the computer-implemented method further comprising:
automatically notifying a navigation system of the AV to reroute a planned path along the route to arrive at the particular location at the particular time.

6 . The computer-implemented method of claim 1 , further comprising:
tracking a geolocation of the EV based on at least one of tracking a client device associated with the EV or receiving telematics data associated with the EV, the particular location determined based on the geolocation of the EV.

7 . The computer-implemented method of claim 1 , wherein the remaining range of the EV is dynamically estimated based on at least one of driving behavior of the EV or learned environmental factors along the route.

8 . The computer-implemented method of claim 1 , further comprising:
generating a comparison of a charge level of the mobile EV station with an amount of charge needed to replenish the power level of the EV; and determining whether to deploy a second mobile EV charging station to the particular location at the particular time based on the comparison.

9 . The computer-implemented method of claim 1 , further comprising:
assigning a second EV to the mobile EV charging station; and allocating a first amount of charge from the mobile EV charging station to the EV and a second amount of charge from the mobile EV to the second EV.

10 . The computer-implemented method of claim 1 , further comprising:
determining the particular location has passed a hotspot threshold; and deploying one or more other mobile EV charging stations of the plurality of mobile EV charging stations to the particular location.

11 . The computer-implemented method of claim 1 , further comprising:
adjusting the particular location based on at least one of input from a client device, the current power level of the EV, or a current location of the EV.

12 . The computer-implemented method of claim 1 , further comprising:
identifying a current location and a current availability of the mobile EV station; and setting a departure time from the current location of the mobile EV station to reach the particular location by the particular time.

13 . One or more tangible non-transitory computer-readable storage media storing computer-executable instructions for performing a computer process on a computing system, the computer process comprising:
generating a prediction that an EV will have a power level below a threshold power level in an area in which EV charging stations are unavailable based on trip data of the EV, the trip data including a remaining range of the EV and a route of the EV, the remaining range of the EV corresponding to a current power level of the EV; determining a current location of each of a plurality of mobile EV stations; determining a current charge level of each of the plurality of mobile EV stations; determining an availability of each of the plurality of mobile EV stations; identifying a mobile EV station from the plurality of mobile EV stations for charging the EV based on the current location, the current charge level, and the availability of each of the plurality of mobile EV stations; determining a particular location for the mobile EV station to meet the EV for charging; and requesting the mobile EV charging station to meet the EV at a particular time and at the particular location.

14 . The one or more tangible non-transitory computer-readable storage media of claim 13 , wherein the particular location is determined based on the remaining range of the EV and the route of the EV.

15 . The one or more tangible non-transitory computer-readable storage media of claim 14 , wherein the particular location is further determined based on a comparison of a safety level of the particular location to a safety threshold.

16 . The one or more tangible non-transitory computer-readable storage media of claim 14 , wherein the particular location is further determined based on a second remaining range of a second EV and a second route of a second EV, the mobile EV station being further identified for charging the second EV.

17 . The one or more tangible non-transitory computer-readable storage media of claim 13 , further comprising:
determining a departure time for the mobile EV station to reach the particular location by the particular time; and causing the mobile EV station to depart by the departure time.

18 . A system for mobile electric vehicle (EV) charging, the system comprising:
a server in communication with a first computing device associated with an EV over a network, the EV having a remaining range corresponding to a current power level of the EV and a route along which the EV is predicted to have a power level below a threshold power level in an area in which EV charging stations are unavailable, the server in communication with a second computing device associated with a mobile EV station over the network, the server causing the mobile EV station to be deployed to a particular location to meet the EV at a particular time.

19 . The system of claim 18 , wherein the server tracks a current location of the mobile EV station using the second device and sends at least one of the current location of the mobile EV station or an estimated time of arrival of the mobile EV station at the particular location to the first computing device.

20 . The system of claim 18 , wherein at least one of the particular location or the particular time are dynamical

Assignees

• Allstate Insurance Co

Inventors

• Ramirez Philip Peter

Classifications

• H02J7/80

  including monitoring or indicating arrangements · CPC title

• H02J7/70

  characterised by the mechanical construction · CPC title

• B60L53/35 Primary

  Means for automatic or assisted adjustment of the relative position of charging devices and vehicles · CPC title

• B60L53/57

  Charging stations without connection to power networks · CPC title

• B60L53/62

  in response to charging parameters, e.g. current, voltage or electrical charge · CPC title