20240013105. OWNERSHIP COST OPTIMIZATION FOR FLEET WITH ELECTRIC VEHICLES simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)
Contents
OWNERSHIP COST OPTIMIZATION FOR FLEET WITH ELECTRIC VEHICLES
Organization Name
GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor(s)
Zahy Bnaya of Petach Tikva (IL)
Refael Blanca of West Bloomfield MI (US)
Ravid Erez of Hod-Hashron (IL)
Ariel Telpaz of Givat Haim Meuhad (IL)
OWNERSHIP COST OPTIMIZATION FOR FLEET WITH ELECTRIC VEHICLES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240013105 titled 'OWNERSHIP COST OPTIMIZATION FOR FLEET WITH ELECTRIC VEHICLES
Simplified Explanation
The patent application describes a system for optimizing the ownership cost of a fleet of electric vehicles. The system includes a command unit that uses historical fleet trip data and mobility pattern data to construct a multi-agent model. The command unit also obtains route data and charging infrastructure data for a set of fleet tasks.
The system then uses a simulation module to simulate different configurations of the electric vehicles carrying out the set of fleet tasks over a predefined period. This simulation is based on the multi-agent model and the route data.
Finally, an optimization module is used to determine the optimal configuration of the electric vehicles that minimizes investment and operational costs of the fleet.
- The system optimizes the ownership cost of a fleet of electric vehicles.
- It uses historical fleet trip data and mobility pattern data to construct a multi-agent model.
- It obtains route data and charging infrastructure data for a set of fleet tasks.
- It simulates different configurations of the electric vehicles carrying out the fleet tasks over a predefined period.
- It determines the optimal configuration that minimizes investment and operational costs of the fleet.
Potential applications of this technology:
- Fleet management companies can use this system to optimize the ownership cost of their electric vehicle fleets.
- Electric vehicle manufacturers can use this system to design and configure their vehicles for optimal performance and cost-efficiency in fleet operations.
Problems solved by this technology:
- The system solves the problem of high ownership costs associated with electric vehicle fleets by optimizing the configuration of the vehicles.
- It addresses the challenge of efficiently utilizing charging infrastructure by considering it in the optimization process.
Benefits of this technology:
- The system helps reduce investment and operational costs of electric vehicle fleets, making them more economically viable.
- It improves the efficiency of fleet operations by optimizing the configuration of the vehicles based on historical data and route information.
- It promotes the adoption of electric vehicles by addressing the cost concerns associated with fleet ownership.
Original Abstract Submitted
a system for optimizing ownership cost of a fleet having electric vehicles includes a command unit adapted to selectively execute a simulation module, a sampling module and an optimization module. 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. route data for a set of fleet tasks is obtained, including charging infrastructure data. the command unit is configured to simulate different configurations of the electric vehicles carrying out the set of fleet tasks over a predefined period, via the simulation module, based in part on the multi-agent model and the route data. the command unit is configured to determine an optimal configuration from the different configurations of the electric vehicles, via the optimization module. the optimal configuration minimizes investment and operational costs of the fleet.
