US 12,005,800 B2
Method for managing electric vehicles
Venkatasubramanian Viswanathan, Pittsburgh, PA (US); Matthew Guttenberg, Pittsburgh, PA (US); and Shashank Sripad, Pittsburgh, PA (US)
Assigned to Carnegie Mellon University, Pittsburgh, PA (US)
Filed by Carnegie Mellon University, Pittsburgh, PA (US)
Filed on Mar. 31, 2023, as Appl. No. 18/129,600.
Application 18/129,600 is a division of application No. 17/715,478, filed on Apr. 7, 2022, granted, now 11,752,892.
Application 17/715,478 is a continuation of application No. 17/066,755, filed on Oct. 9, 2020, granted, now 11,325,492, issued on May 10, 2022.
Claims priority of provisional application 62/973,541, filed on Oct. 9, 2019.
Prior Publication US 2023/0241995 A1, Aug. 3, 2023
Int. Cl. B60L 53/62 (2019.01); B60L 53/30 (2019.01); B60L 53/66 (2019.01); B60L 58/13 (2019.01); G01C 21/34 (2006.01)
CPC B60L 53/62 (2019.02) [B60L 53/30 (2019.02); B60L 53/66 (2019.02); B60L 58/13 (2019.02); G01C 21/3469 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for managing a fleet of electric vehicles in a target area, comprising:
dividing the target area into one or more geographic portions;
assigning one or more nodes to each geographic portion;
simulating a plurality of trips of a plurality of simulated electric vehicles through the target area, each trip comprising a series of the nodes between a start node and an end node;
tracking, during each simulated trip, depletion of a charge of each simulated electric vehicle, based on a vehicle dynamics model of the electric vehicle and a battery dynamics model of the electric vehicle executed by a computer; and
identifying hotspots as areas of the target area wherein the charge of vehicles tends to be below a predetermined threshold.