SYSTEMS AND METHODS FOR TRIP PLANNING UNDER UNCERTAINTY
Systems of an electrical vehicle and the operations thereof are provided. Electric vehicles may be routed from a start location to a destination through a network of charging stations explicitly considering time-varying uncertainty in both charging times, queueing times, and range. The routing objective may be a function of trip duration, electric vehicle state of charge at any time or location along the trip, uncertainty in the vehicle state of charge, the estimated trip duration, etc. Uncertainty in a distribution may be computed using an information-theoretic metric such as entropy. Waiting times may be estimated at an electric vehicle charging station given observed data for that station. An estimated waiting time at a charging station can be communicated directly to the owner of an electric vehicle owner or used to design a robust system for routing through charging stations.
1 . A method of routing a rechargeable electric vehicle, the method comprising:
determining, by an automatic vehicle location system, an origin based on input from a satellite location system;
determining a current spatial location of the rechargeable electric vehicle relative to a selected coordinate system;
determining, by a vehicle navigation system, a destination;
determining, by the vehicle navigation system, an estimated range of the vehicle; and
determining, by the vehicle navigation system, a route for the vehicle from the origin to the destination, wherein the route comprises at least a first stop at a first charging station, wherein the route is determined based on an estimated wait time at the first charging station.
2 . The method of claim 1 , further comprising updating the estimated range of the vehicle based on the estimated wait time at the first charging station.
3 . The method of claim 1 , wherein the route is an optimal planned route based on the estimated wait time and an estimated charging time of the electrical vehicle.
4 . The method of claim 1 , wherein the route is further determined based on an estimated charging time.
5 . The method of claim 4 , wherein the estimated charging time is based on an estimated charge level at an estimated time of arrival at the charging station.
6 . The method of claim 1 , wherein the route is further determined based on real time and historical traffic data.
7 . The method of claim 1 , wherein the route further comprises a second stop at a second charging station.
8 . The method of claim 1 , wherein the estimated wait time at the first charging station is determined based at least in part on one or more of historical waiting data for the first charging station and real time waiting data for the first charging station.
9 . The method of claim 1 , wherein the estimated wait time at the first charging station is determined based at least in part on a simulation of vehicles arriving at the first charging station.
10 . A system, comprising:
a processor; and
a computer-readable storage medium storing computer-readable instructions, which when executed by the processor, cause the processor to perform operations comprising:
determining, by an automatic vehicle location system of a rechargeable electric vehicle based on input from a satellite location system, an origin based on input from a satellite location system;
determining a current spatial location of the rechargeable electric vehicle relative to a selected coordinate system;
determining a destination;
determining a range of the vehicle; and
determining a route for the vehicle from the origin to the destination, wherein the route comprises at least a first stop at a first charging station, wherein the route is determined based on an estimated wait time at the first charging station.
11 . The system of claim 10 , wherein the estimated wait time is determined based on a partially observable Markov decision process.
12 . The system of claim 10 , wherein the route is an optimal planned route based on the estimated wait time and an estimated charging time of the electrical vehicle.
13 . The system of claim 10 , wherein the route is further determined based on an estimated charging time.
14 . The system of claim 13 , wherein the estimated charging time is based on an estimated charge level at an estimated time of arrival at the charging station.
15 . The system of claim 10 , wherein the route is further determined based on real time and historical traffic data.
16 . The system of claim 10 , wherein the route further comprises a second stop at a second charging station.
17 . The system of claim 10 , wherein the estimated wait time at the first charging station is determined based at least in part on one or more of historical waiting data for the first charging station and real time waiting data for the first charging station.
18 . The system of claim 10 , wherein the estimated wait time at the first charging station is determined based at least in part on a simulation of vehicles arriving at the first charging station.
19 . A computer program product, comprising:
a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code configured, when executed by a processor, to:
determine, by an automatic vehicle location system of a rechargeable electric vehicle and based on input from a satellite location system, an origin based on input from a satellite location system;
determine a current spatial location of the rechargeable electric vehicle relative to a selected coordinate system;
determine a destination;
determine a range of the vehicle; and
determine a route for the vehicle from the origin to the destination, wherein the route comprises at least a first stop at a first charging station, wherein the route is determined based on an estimated wait time at the first charging station.
20 . The computer program product of claim 19 , wherein the estimated wait time is determined based on a partially observable Markov decision process.