DISTRIBUTED MAINTENANCE SYSTEM AND METHODS FOR CONNECTED FLEET

• US 20190318549A1
• Filed: 02/19/2019
• Published: 10/17/2019
• Est. Priority Date: 02/19/2018
• Status: Active Grant

• Current Assignee: Avis Budget Car Rental LLC (Avis Budget Group Incorporated)
• Original Assignee: Avis Budget Car Rental LLC (Avis Budget Group Incorporated)
• Inventors: ZEIRA, OHAD, LEE, SANG
• Granted Patent: US 11,182,984 B2
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/1097 Task assignment
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G07C 5/006 Indicating maintenance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005

Abstract

A system and related methods for management, planning and control of a connected fleet of vehicles. A unique, single integrated platform may be provided for management, planning and control of a connected fleet of vehicles, including fleet planning, in-fleeting operations, vehicle acquisition and provisioning, vehicle assignment, vehicle transfers, vehicle use operations, vehicle servicing, vehicle maintenance and repairs, and de-fleeting operations. Fleet communications can be by cellular, wireless, or low earth orbit satellite communications. Fleet vehicles include a programmable TCU installed in the vehicle and connected, directly or indirectly, to the CAN bus or similar vehicle network, and carries out various operations, including controlling vehicle access. The systems combines self-reporting and self-management of a connected fleet vehicle (with on-board and installed sensors configured to identify actual or potential issues or problems in the vehicle, and report, request, and obtain/dispatch servicing via its cloud or network communications interfaces), and predictive failure algorithms (based on historical and current connected fleet vehicle data), with multiple probabilistic distributions for the distributed fleet to dynamically, in real time, determine and dispatch service with greater efficiency and lower costs for fleet operations.

Claims

1. A connected fleet management system, comprising:

a plurality of fleet vehicles, each vehicle comprising a telematics control unit or other electronic control unit for collecting data from the vehicle and establishing external two-way electronic communications; and

at least one fleet management system server with one or more microprocessor programmed to provide connected fleet management services, said fleet management services comprising managing and scheduling maintenance and repairs of fleet vehicles;

wherein said managing and scheduling maintenance and repairs comprise

(a) receiving a report of an actual or predicted problem from a self-reporting fleet vehicle;

(b) initiating a self-service ticket for the self-reporting fleet vehicle;

(c) locking the self-reporting fleet vehicle from further reservations; and

(d) reviewing likely failure modalities probability distribution for other failures for the self-reporting fleet vehicle.

2. The system of claim 1, wherein said managing and scheduling maintenance and repairs further comprise

(e) reviewing likely failure modalities probability distribution for other fleet vehicles geographically adjacent to the self-reporting fleet vehicle.

3. The system of claim 2, wherein likely failure modalities probability distribution for other fleet vehicles include for both the actual or predicted problem that was self-reported, and other problems or failures.

4. The system of claim 2, wherein said managing and scheduling maintenance and repairs further comprise

(f) building one or more optimal maintenance manifestos across multiple fleet vehicles in a selected area.

5. The system of claim 4, wherein the one or more optimal maintenance manifestos solve for (i) the total cost of the maintenance manifesto across said multiple fleet vehicles in the selected area;

(ii) total expected downtime across said multiple fleet vehicles in the selection area; and

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minimization of any cancelled reservations or reservations to be cancelled.

6. The system of claim 5, wherein said managing and scheduling maintenance and repairs further comprise

(g) comparing the total cost of the maintenance manifesto with the cost of taking no action while keeping the self-reporting vehicle closed to reservations.

7. The system of claim 6, wherein if the total cost of the maintenance manifesto is less than the cost of taking no action while keeping the self-reporting vehicle closed to reservations, implementing the optimal maintenance manifesto.

8. The system of claim 6, wherein if the total cost of the maintenance manifesto is greater than the cost of taking no action while keeping the self-reporting vehicle closed to reservations, taking no action.

9. The system of claim 8, wherein if no action is taken, updating the probability distributions, building at least one new optimal maintenance manifesto, and re-evaluating the total cost of the at least one new optimal maintenance manifesto with the cost of taking no action while keeping the self-reporting vehicle closed to reservations.