# US 2019/0378349 A1 · Vehicle remaining useful life prediction > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2019/0378349 A1 - Document ID: US20190378349A1 - Status: Published application - Kind: A1 - Application number: 16/002,546 - Filed: 2018-06-07 - Published: 2019-12-12 - Earliest claimed: 2018-06-07 - Assignees: GM Global Technology Operations LLC - Applicants: GM Global Technology Operations LLC - Inventors: Yuhang Liu; Xinyu Du - Web page: https://patentgrep.com/patent/US20190378349A1 ## CPC - G07C 5/006: {Indicating maintenance} - G07C 5/0816: {Indicating performance data, e.g. occurrence of a malfunction} - G07C 5/0808: {Diagnosing performance data (testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005)} - Y02W 90/00: Enabling technologies or technologies with a potential or indirect contribution to greenhouse gas [GHG] emissions mitigation - G07C: TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE - Y02W: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT ## Abstract Methods and systems are provided for monitoring a vehicle. In one embodiment, a method includes: receiving data including at least one of vehicle parameters and vehicle diagnostic data; determining, by a processor, a vehicle condition based on a model of vehicle health and the received data; determining, by the processor, remaining useful life data associated with the vehicle based on a first statistical model when the vehicle condition is determined to be healthy; determining, by the processor, remaining useful life data associated with the vehicle based on a second statistical model when the vehicle condition is determined to be unhealthy; and selectively generating, by the processor, notification data based on the vehicle condition and the remaining useful life data. ## Claims ### Claim 1 A method of monitoring a first vehicle, the method comprising: receiving data including at least one of vehicle parameters and vehicle diagnostic data; determining, by a processor, a vehicle condition based on a model of vehicle health and the received data; determining, by the processor, remaining useful life data associated with the vehicle based on a first statistical model when the vehicle condition is determined to be healthy; determining, by the processor, remaining useful life data associated with the vehicle based on a second statistical model when the vehicle condition is determined to be unhealthy; and selectively generating, by the processor, notification data based on the vehicle condition and the remaining useful life data. ### Claim 2 (depends on 1) The method of claim 1, further comprising updating the second statistical model based on service event data from the first vehicle. ### Claim 3 (depends on 1) The method of claim 1, further comprising updating the second model based on service event data collected from at least one other vehicle. ### Claim 4 (depends on 1) The method of claim 1, further comprising presenting the notification data based on a user selected notification template. ### Claim 5 (depends on 4) The method of claim 4, further comprising storing a plurality of notification templates and wherein the user selected notification template is selected from the plurality of notification templates based on user selection data. ### Claim 6 (depends on 1) The method of claim 1, wherein the first statistical model and the second statistical model are based on a proportional hazards model. ### Claim 7 (depends on 6) The method of claim 6, further comprising adapting at least one coefficient of the proportional hazards model based on event data from the first vehicle and other vehicles. ### Claim 8 (depends on 1) The method of claim 1, wherein the notification data includes a percent chance to survive and an associated date. ### Claim 9 (depends on 1) The method of claim 1, wherein the notification data includes a failure day. ### Claim 10 (depends on 1) The method of claim 1, wherein the notification data includes a graph of survival probabilities. ### Claim 11 A computer implemented system for monitoring a vehicle, comprising: a data storage device configured to store a model for determining a vehicle health condition, a first statistical model for computing remaining useful life data, and a second statistical model for computing remaining useful life data. a processor configured to receive data including at least one of vehicle parameters and vehicle diagnostic data, determine a vehicle condition based on the model and the received data, determine remaining useful life data associated with the vehicle based on the first statistical model when the vehicle condition is determined to be healthy, determine remaining useful life data associated with the vehicle based on the second statistical model when the vehicle condition is determined to be unhealthy, and selectively generate notification data based on the vehicle condition and the remaining useful life data. ### Claim 12 (depends on 11) The system of claim 11, wherein the processor is further configured to update the second statistical model based on service event data from the first vehicle. ### Claim 13 (depends on 11) The system of claim 11, wherein the processor is further configured to update the second statistical model based on service event data collected from at least one other vehicle. ### Claim 14 (depends on 11) The system of claim 11, wherein the processor is further configured to present the notification data based on a user selected notification template. ### Claim 15 (depends on 14) The system of claim 14, wherein the data storage device is further configured to store a plurality of notification templates and wherein the user selected notification template is selected from the plurality of notification templates based on user selection data. ### Claim 16 (depends on 11) The system of claim 11, wherein the first statistical model and the second statistical model are based on a proportional hazards model. ### Claim 17 (depends on 16) The system of claim 16, wherein the processor is further configured to adapt at least one coefficient of the proportional hazards model based on event data from the first vehicle and other vehicles. ### Claim 18 (depends on 11) The system of claim 11, wherein the notification data includes a percent chance to survive and an associated date. ### Claim 19 (depends on 11) The system of claim 11, wherein the notification data includes a failure day. ### Claim 20 (depends on 11) The system of claim 11, wherein the notification data includes a graph of survival probabilities.