# US 2020/0393259 A1 · Vehicle energy management > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2020/0393259 A1 - Document ID: US20200393259A1 - Status: Published application - Kind: A1 - Application number: 16/443,565 - Filed: 2019-06-17 - Published: 2020-12-17 - Earliest claimed: 2019-06-17 - Assignees: GM Global Technology Operations LLC - Applicants: GM Global Technology Operations LLC - Inventors: Gary W. Gantt, JR.; Varsha K. Sadekar; Lyall K. Winger - Web page: https://patentgrep.com/patent/US20200393259A1 ## CPC - G01C 21/3469: {Fuel consumption; Energy use; Emission aspects} - H02J 7/1446: {in response to parameters of a vehicle} - B60L 53/65: involving identification of vehicles or their battery types - B60L 58/12: responding to state of charge [SoC] - B60R 16/03: for supply of electrical power to vehicle subsystems {or for (circuit arrangements for charging batteries H02J7/00)} - G01C 21/20: Instruments for performing navigational calculations (G01C21/24, G01C21/26 take precedence) - G08G 1/096827: {where the route is computed onboard} - G08G 1/096833: {where different aspects are considered when computing the route} - G08G 1/096838: {where the user preferences are taken into account or the user selects one route out of a plurality} - G08G 1/096844: {where the complete route is dynamically recomputed based on new data} - B60L 58/18: of two or more battery modules - B60L 2240/62: Vehicle position - B60L 2260/54: Energy consumption estimation - H02J 2105/33: exchanging power with road vehicles - Y02T 10/70: Energy storage systems for electromobility, e.g. batteries - Y02T 10/7072: Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors - Y02T 10/72: Electric energy management in electromobility - Y02T 10/92: Energy efficient charging or discharging systems for batteries, ultracapacitors, supercapacitors or double-layer capacitors specially adapted for vehicles - Y02T 90/12: Electric charging stations - Y02T 90/16: Information or communication technologies improving the operation of electric vehicles - Y02T 90/167: Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV] - Y04S 30/14: Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing - G01C: MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY (measuring liquid level G01F; radio navigation, determining distance or velocity by use of propagation effects, e.g. Doppler effects, propagation time, of radio waves, analogous arrangements using other waves G01S) - H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY - B60L: PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES (arrangements or mounting of electrical propulsion units or of plural diverse prime-movers for mutual or common propulsion in vehicles B60K1/00, B60K6/20; arrangements or mounting of electrical gearing in vehicles B60K17/12, B60K17/14; preventing wheel slip by reducing power in rail vehicles B61C15/08; dynamo-electric machines H02K; control or regulation of electric motors H02P); SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES (electric coupling devices combined with mechanical couplings of vehicles B60D1/64; electric heating for vehicles B60H1/00); ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL (control or regulation of electric motors H02P); MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES - B60R: VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR - G08G: TRAFFIC CONTROL SYSTEMS (guiding railway traffic, ensuring the safety of railway traffic B61L; arrangement of road signs or traffic signals E01F9/00; radar or analogous systems, sonar systems, lidar systems specially adapted for traffic control G01S13/91, G01S15/88, G01S17/88; {radar or analogous systems, sonar systems, lidar systems specially adapted for anti-collision purposes G01S13/93, G01S15/93, G01S17/93}) - Y02T: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION - Y04S: SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS ## Abstract A system and method of managing electrical energy consumption and generation of a vehicle. The method includes: determining a vehicle operation schedule for the vehicle, wherein the vehicle operation schedule includes one or more expected vehicle trips that each include a vehicle start location, a vehicle end location, and a time period; obtaining forecasted vehicle trip data based on the vehicle operation schedule; obtaining forecasted vehicle operation data pertaining to the vehicle operation schedule; determining a vehicle energy plan for the vehicle based on the forecasted vehicle trip data and the forecasted vehicle operation data; and causing the vehicle to carry out the vehicle energy plan during the vehicle operation schedule. ## Claims ### Claim 1 A method of managing electrical energy consumption and generation of a vehicle, comprising the steps of: determining a vehicle operation schedule for the vehicle, wherein the vehicle operation schedule includes one or more expected vehicle trips that each include a vehicle start location, a vehicle end location, and a time period; obtaining forecasted vehicle trip data based on the vehicle operation schedule; obtaining forecasted vehicle operation data pertaining to the vehicle operation schedule; determining a vehicle energy plan for the vehicle based on the forecasted vehicle trip data and the forecasted vehicle operation data; and causing the vehicle to carry out the vehicle energy plan during the vehicle operation schedule. ### Claim 2 (depends on 1) The method of claim 1, wherein the vehicle operation schedule is determined at least in part on a vehicle user calendar. ### Claim 3 (depends on 1) The method of claim 1, wherein the vehicle operation schedule is determined based on analyzing previous vehicle trip data concerning one or more previous vehicle trips taken by the vehicle or the vehicle user, and wherein at least one of the expected vehicle trips is determined based on analyzing the previous vehicle trip data. ### Claim 4 (depends on 1) The method of claim 1, wherein at least part of the forecasted vehicle trip data is determined based on measured or observed vehicle trip data pertaining to at least one previous vehicle trip that is coextensive with at least one of the expected vehicle trip(s). ### Claim 5 (depends on 4) The method of claim 4, wherein at least part of the forecasted vehicle operation data is determined based on measured or observed vehicle operation data collected or otherwise obtained during the at least one previous vehicle trip. ### Claim 6 (depends on 5) The method of claim 5, wherein the forecasted vehicle operation data includes expected energy usage data that is determined based on identified patterns among previously-observed actual energy usage metrics of the vehicle, wherein the previously-observed actual energy usage metrics are based on energy-related sensor information that is obtained based on the at least one previous vehicle trip. ### Claim 7 (depends on 1) The method of claim 1, wherein the determining step includes making a determination as to whether the forecasted vehicle operation data indicates a net positive charge factor or a net negative charge factor. ### Claim 8 (depends on 7) The method of claim 7, wherein the determining step includes making a determination as to whether the forecasted vehicle trip data indicates a net positive charge factor or a net negative charge factor. ### Claim 9 (depends on 8) The method of claim 8, wherein the determining step includes selecting a battery management profile based on whether the forecasted vehicle operation data indicates a net positive charge factor or a net negative charge factor and whether the forecasted vehicle trip data indicates a net positive charge factor or a net negative charge factor. ### Claim 10 (depends on 9) The method of claim 9, wherein the selected battery management profile is a charge recovery profile when the forecasted vehicle operation data indicates a net negative charge factor and when the forecasted vehicle trip data indicates a net negative charge factor. ### Claim 11 (depends on 10) The method of claim 10, wherein the selected battery management profile is a charge depletion profile or a charge neutral profile when the forecasted vehicle operation data indicates a net positive charge factor and when the forecasted vehicle trip data indicates a net positive charge factor. ### Claim 12 (depends on 11) The method of claim 11, wherein an overall net charge factor is determined based on the forecasted vehicle operation data and/or forecasted vehicle trip data, wherein the forecasted vehicle operation data is based on vehicle operation microdata and vehicle operation macrodata, and wherein the forecasted vehicle trip data is based on vehicle trip microdata and vehicle trip macrodata. ### Claim 13 A method of managing electrical energy consumption and generation of a vehicle, comprising the steps of: determining a vehicle operation schedule for the vehicle, wherein the vehicle operation schedule includes one or more expected vehicle trips that each include a vehicle start location, a vehicle end location, and a time period, and wherein each of the expected vehicle trips includes a plurality of route segments; obtaining forecasted vehicle trip data based on the plurality of route segments of the one or more expected vehicle trips; obtaining forecasted vehicle operation data pertaining to the vehicle operation schedule for the vehicle, wherein the forecasted vehicle operation data includes data based on actual energy usage metrics from one or more previous vehicle trips that are coextensive with at least one of the one or more expected vehicle trips with respect to the vehicle start location and the vehicle end location; determining a vehicle energy plan for the vehicle based on the forecasted vehicle trip data and the forecasted vehicle operation data; and causing the vehicle to carry out the vehicle energy plan. ### Claim 14 (depends on 13) The method of claim 13, wherein the forecasted vehicle operation data is based on propulsion system usage data, accessory electronics usage data, and battery system usage data that was collected during the one or more previous vehicle trips. ### Claim 15 (depends on 14) The method of claim 14, wherein the forecasted vehicle operation data includes forecasted battery system usage data and wherein the vehicle energy plan is determined based on the forecasted battery system usage data. ### Claim 16 (depends on 15) The method of claim 15, wherein the method further includes determining a forecasted energy usage value based on the forecasted vehicle trip data and the forecasted vehicle operation data, and then determining the vehicle energy plan for the vehicle based on the forecasted energy usage value. ### Claim 17 (depends on 16) The method of claim 16, wherein the forecasted energy usage value is an overall forecasted energy usage value. ### Claim 18 (depends on 16) The method of claim 16, wherein the method is carried out by a backend facility, and wherein the causing step includes sending instructions to the vehicle prior to start of the vehicle operation schedule, wherein the instructions cause the vehicle to carry out the vehicle energy plan. ### Claim 19 (depends on 16) The method of claim 16, wherein the method is carried out by vehicle electronics of the vehicle, and wherein the vehicle energy plan is carried out at a time prior to the vehicle operation schedule so as to anticipatorily place a vehicle battery in a desired state prior to a first one of the one or more expected vehicle trips. ### Claim 20 A method of managing electrical energy consumption and generation of a vehicle, comprising the steps of: determining a vehicle operation schedule for the vehicle, wherein the vehicle operation schedule includes one or more expected vehicle trips that each include a vehicle start location, a vehicle end location, and a time period, and wherein each of the expected vehicle trips includes a plurality of route segments; obtaining forecasted vehicle trip data based on the plurality of route segments of the one or more expected vehicle trips; obtaining forecasted vehicle operation data pertaining to the vehicle operation schedule for the vehicle, wherein the forecasted vehicle operation data includes expected energy usage data that is determined based on identified patterns among previously-observed actual energy usage metrics of the vehicle, wherein the previously-observed actual energy usage metrics are based on energy-related sensor information that is obtained based on previous vehicle trips that are coextensive with at least one of the one or more expected vehicle trips; determining a vehicle energy plan for the vehicle based on the forecasted vehicle trip data and the forecasted vehicle operation data; and causing the vehicle to carry out the vehicle energy plan, wherein the vehicle energy plan includes executing a battery charging profile, wherein the battery charging profile is selected from the following: a fast charge recovery profile, a slow charge recovery profile, a charge neutral profile, and a charge depletion profile, and wherein each of the fast charge recovery profile and the slow charge recovery profile are associated with modifying operation of the vehicle so as to provide a net positive inflow into a vehicle battery.