# US 10,766,370 B2 · Managing electric vehicle loads on an electric grid > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,766,370 B2 - Document ID: US10766370B2 - Status: Granted - Kind: B2 - Application number: 15/155,813 - Filed: 2016-05-16 - Published: 2016-11-17 - Granted: 2020-09-08 - Earliest claimed: 2015-05-15 - Assignees: Recargo, Inc. - Applicants: Recargo, Inc. - Inventors: Forrest North; Lucas Manfield - Web page: https://patentgrep.com/patent/US10766370B2 ## CPC - H02J 3/003: {Load forecast, e.g. methods or systems for forecasting future load demand} - B60L 53/30: Constructional details of charging stations - B60L 53/305: {Communication interfaces} - B60L 53/63: in response to network capacity - B60L 53/67: Controlling two or more charging stations - B60L 53/68: Off-site monitoring or control, e.g. remote control - H02J 3/14: by switching loads on to, or off from, the networks, e.g. progressively balanced loading - H02J 3/322: {the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging} - H02J 7/50: acting upon multiple batteries simultaneously or sequentially - H02J 7/82: Control of state of charge [SOC] - H02J 7/90: Regulation of charging or discharging current or voltage - H02J 2105/37: exchanging power with electric vehicles [EV] or with hybrid electric vehicles [HEV] - H02J 2105/52: for limitation of the power consumption in the networks or in one section of the networks, e.g. load shedding or peak shaving - Y02B 70/3225: Demand response systems, e.g. load shedding, peak shaving - Y02E 60/00: Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation - 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 90/12: Electric charging stations - Y02T 90/14: Plug-in electric vehicles - 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 10/126: the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G] - Y04S 20/222: Demand response systems, e.g. load shedding, peak shaving - Y04S 30/12: Remote or cooperative charging - Y04S 30/14: Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing - 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 - Y02B: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS - Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION - 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 Systems and methods for generating grid alerts for an electric grid, and performing actions in response to the grid alerts, such as shaping, shifting, or otherwise modifying a load applied to the grid, are described. In some embodiments, the systems and methods access information identifying states of charging events for one or more electric vehicles at one or more charging stations, the one or more charging stations coupled to an electric grid and providing charge to the one or more electric vehicles, determine that the information identifying the states of the charging events for the one or more electric vehicles at the one or more charging stations coupled to the electric grid indicates a condition of the electric grid that is outside threshold condition of the electric grid, and perform an action in response to determining the condition of the electric grid is outside the predetermined threshold condition of the electric grid. ## Claims ### Claim 1 A system for managing loads applied to an electric grid by electric vehicles, the system comprising: an information module that accesses information identifying states of charging events for a fleet of electric vehicles at multiple charging stations, the multiple charging stations coupled to an electric grid and providing charge to the fleet of electric vehicles, wherein the information identifying states of charging events for a fleet of electric vehicles at multiple charging stations includes information identify states of current charging events and information identifying states of future charging events; a grid condition module that determines the information identifying the states of the charging events for the fleet of electric vehicles at the multiple charging stations coupled to the electric grid indicates a load condition predicted to be applied to the electric grid is above a predetermined threshold condition of the electric grid, wherein the predetermined threshold condition is a peak load condition for the electric grid; and an action module that performs an action in response to determining the condition of the electric grid is above the predetermined threshold condition of the electric grid, wherein the performed action includes modifying multiple charging events for multiple electric vehicles of the fleet of electric vehicles in order to shape the load condition predicted to be applied to the electric grid. ### Claim 2 (depends on 1) The system of claim 1, wherein the information module determines that a cumulative load applied to the electric grid due to the charging events for the fleet of electric vehicles at the multiple charging stations is above a predetermined threshold load applied by charging electric vehicles on the electric grid. ### Claim 3 (depends on 1) The system of claim 1, wherein the action module: automatically pauses a group of the charging events; determines that a cumulative load applied to the electric grid after pausing the group of charging events is below the predetermined threshold load applied by charging electric vehicles on the electric grid; and resumes the charging events of the paused group of charging events. ### Claim 4 (depends on 1) The system of claim 1, wherein the action module: identifies a group of electric vehicles of the fleet of electric vehicles associated with low priority charging events; automatically pauses the low priority charging events; determines that a cumulative load applied to the electric grid after pausing the low priority events is below the predetermined threshold load applied by charging electric vehicles on the electric grid; and resumes the low priority charging events for the identified group of electric vehicles. ### Claim 5 (depends on 1) The system of claim 1, wherein the information module accesses information collected by mobile applications that are associated with drivers of the fleet of electric vehicles. ### Claim 6 (depends on 1) The system of claim 1, wherein the action module: automatically pauses a group of the charging events by directly controlling charging operations of one or more electric vehicles of the fleet of electric vehicles; determines that a cumulative load applied to the electric grid after pausing the group of charging events is below the predetermined threshold load applied by charging electric vehicles on the electric grid; and resumes the charging events of the paused group of charging events. ### Claim 7 (depends on 1) The system of claim 1, wherein the action module shapes the load condition predicted to be applied to the electric grid by: controlling charging operations of one or more electric vehicles of the fleet of electric vehicles at a first location of the electric grid to provide power to the electric grid at the first location from the one or more electric vehicles at the first location; and controlling charging operations of one or more electric vehicles of the fleet of electric vehicles at a second location of the electric grid to consume power from the electric grid at the second location. ### Claim 8 (depends on 1) The system of claim 1, wherein the system is separate from the electric grid and connected to the fleet of electric vehicles.