US 12,242,984 B2
Ownership cost optimization for fleet with electric vehicles
Zahy Bnaya, Petach Tikva (IL); Nadav Baron, Herzliya (IL); Refael Blanca, West Bloomfield, MI (US); Ravid Erez, Hod-Hashron (IL); and Ariel Telpaz, Givat Haim Meuhad (IL)
Assigned to GM Global Technology Operations LLC, Detroit, MI (US)
Filed by GM GLOBAL TECHNOLOGY OPERATIONS LLC, Detroit, MI (US)
Filed on Jul. 5, 2022, as Appl. No. 17/857,496.
Prior Publication US 2024/0013105 A1, Jan. 11, 2024
Int. Cl. G08G 1/00 (2006.01); G06Q 10/047 (2023.01)
CPC G06Q 10/047 (2013.01) [G08G 1/20 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A system for controlling operation of an electric vehicle, the system comprising:
a command unit adapted to selectively execute a simulation module, a sampling module and an optimization module, the command unit having a processor and tangible, non-transitory memory on which instructions are recorded;
a battery unit installed in the electric vehicle, the electric vehicle being part of a fleet having a plurality of electric vehicles;
an electrical device plugged into the battery unit, the electrical device being adapted to perform at least one fleet task through an energy transfer from the battery unit;
wherein the command unit is configured to:
construct a multi-agent model based at least partially on historical fleet trip data and mobility pattern data of the fleet;
obtain route data for a set of fleet tasks, the route data including charging infrastructure data;
simulate different configurations of the plurality of electric vehicles carrying out the set of fleet tasks over a predefined period, based in part on the multi-agent model and the route data, via the simulation module;
estimate respective expected costs for the different configurations of the plurality of electric vehicles, via the sampling module;
determine an optimal configuration for the electric vehicle over the predefined period from the different configurations of the plurality of electric vehicles based in part on the respective expected costs and subject to at least one constraint, via the optimization module;
wherein the at least one constraint is met when a battery level of the electric vehicle is maintained at a minimum percentage during the at least one fleet task; and
wherein the command unit directs control of the energy transfer from the battery unit to the electrical device in the electric vehicle based in part on the optimal configuration.