IP Library Granted Patent US 12,508,939
Granted Patent B2
US 12,508,939 · App. 17/747,026 · Granted Dec 30, 2025

Bidirectional electric vehicle charging system

Inventors: Farshad Harirchi (Ann Arbor, MI); Ryan O'Gorman (Beverly Hills, MI); Hossein Sartipizadeh (Canton, MI)
Assignee: Ford Global Technologies, LLC
B60L53/68B60L53/57B60L55/00H02J3/32H02J7/00
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,508,939
App. No.
17/747,026
Granted
Dec 30, 2025
Kind
B2
Abstract

One or more controllers may, responsive to a request from a first vehicle to receive a predefined amount of charge power by a specified time, query the first vehicle regarding whether the first vehicle will accept an amount of charge power less than the predefined amount by the specified time, and command a grid and a local controller to each supply charge power to the first vehicle such that the first vehicle receives the amount of charge power less than the predefined amount by the specified time.

Claims (30)

1 . A server comprising:

one or more controllers programmed to

communicate with a local controller configured to coordinate energy distribution of a plurality of entities associated with a building,

receive data from a first vehicle at a location of the building, and receive data from the local controller about a second vehicle that is at the location and not in communication with the one or more controllers, wherein the data from the first vehicle includes a schedule of use of the first vehicle for a predefined period of time that encompasses the specified time,

responsive to a request from the first vehicle to receive a predefined amount of charge power by a specified time, query the first vehicle regarding whether the first vehicle will accept an amount of charge power less than the predefined amount by the specified time, and

command a grid and the local controller to each supply charge power to the first vehicle based on the data from the first vehicle and the data from the local controller such that the first vehicle receives the amount of charge power less than the predefined amount by the specified time from the grid and at least one of the energy storage units associated with the building.

2 . The server of claim 1 , wherein the one or more controllers are further programmed to command the grid and the local controller to each supply charge power responsive to confirmation from the first vehicle that the first vehicle will accept the amount of charge power less than the predefined amount by the specified time.

3 . The server of claim 1 , wherein the one or more controllers are further programmed to, responsive to indication of the first vehicle having an amount of stored power that is greater than an amount of power needed to satisfy power demand of the first vehicle over a predefined period of time, command the first vehicle to discharge at least some of the stored power to the grid, and command the local controller to subsequently charge the first vehicle with power renewably generated at the location such that the first vehicle stores the amount of power needed to satisfy the power demand before the predefined period of time.

4 . The server of claim 1 , wherein the data from the local controller includes information associated with a request for power from the second vehicle.

5 . The server of claim 1 , wherein the one or more controllers are further programmed to command the grid to supply charge power to the first vehicle based on the data from the first vehicle and the data from the local controller such that the first vehicle receives the amount of charge power less than the predefined amount by the specified time.

6 . The server of claim 1 , wherein the one or more controllers are further programmed to command the local controller to supply charge power to the first vehicle based on the data from the first vehicle and the data from the local controller such that the first vehicle receives the amount of charge power less than the predefined amount by the specified time.

7 . A server comprising:

one or more controllers programmed to,

responsive to indication of a first vehicle at a location having an amount of stored power that is greater than an amount of power needed to satisfy power demand of the first vehicle over a predefined period of time,

command the first vehicle to discharge at least some of the stored power to a grid, and command a local controller at the location to subsequently charge the first vehicle with power renewably generated at the location based on data about anticipated use of the first vehicle and weather data at the location for the predefined period of time such that the first vehicle stores the amount of power needed to satisfy the power demand before the predefined period of time,

wherein the data about anticipated use of the first vehicle includes a schedule of use of the first vehicle for the predefined period of time,

wherein the local controller is configured to coordinate energy distribution of a plurality of energy storage units associated with the location.

8 . The server of claim 7 , wherein the one or more controllers are further programmed to receive data from the local controller about a second vehicle that is at the location and not in communication with the one or more controllers, responsive to a request from the first vehicle to receive a predefined amount of charge power by a specified time, query the first vehicle regarding whether the first vehicle will accept an amount of charge power less than the predefined amount by the specified time, and command at least one of the grid or the local controller to supply charge power to the first vehicle based on the data about anticipated use of the first vehicle and the data from the local controller such that the first vehicle receives the amount of charge power less than the predefined amount by the specified time.

9 . The server of claim 8 , wherein the one or more controllers are further programmed to command at least one of the grid or the local controller to supply charge power responsive to confirmation from the first vehicle that the first vehicle will accept the amount of charge power less than the predefined amount by the specified time.

10 . The server of claim 8 , wherein the data from the local controller includes information associated with a request for power from the second vehicle.

11 . A home energy system comprising:

a local controller programmed to

access data from a first vehicle at a location describing a schedule of use of the first vehicle for a predefined period of time, and

responsive to a request from a second vehicle at the location to receive an amount of charge power by a specified time while data from the second vehicle describing a scheduled use of the second vehicle for the predefined period of time is unavailable to the local controller,

communicate with a remote server and command at least one of a grid or a local energy storage other than the first vehicle at the location to provide the amount of charge power to the second vehicle by the specified time based on the request without violating the schedule of use of the first vehicle,

wherein the remote server specifies to the local controller which of the grid or the local energy storage or both is to provide the amount of charge power.

12 . The home energy system of claim 11 , wherein the local controller is further programmed to command the first vehicle to discharge stored energy to at least one of the grid or the local energy storage, wherein the local energy storage is configured to store energy for the home energy system.

13 . The home energy system of claim 11 , wherein the local controller is further programmed to charge at least one of the first or second vehicles with power renewably generated at the location.

14 . The home energy system of claim 11 , wherein the local controller is further programmed to receive and execute commands from a remote server.

15 . The home energy system of claim 14 , wherein the local controller is further programmed to provide an amount of charge power to the first vehicle responsive to a command from the remote server specifying the amount.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 18, 2022
From: HARIRCHI, FARSHAD; O'GORMAN, RYAN; SARTIPIZADEH, HOSSEIN
To: FORD GLOBAL TECHNOLOGIES, LLC
Reel/Frame 059943/0119 →
Continuity (1)
Related Publication 20230406147A1 · Dec 21, 2023
References Cited (50)
US 6104160A · Iwata et al. · 2000 [cited by applicant]
US 8581545B2 · Obayashi et al. · 2013 [cited by applicant]
US 9083193B2 · Obayashi et al. · 2015 [cited by applicant]
US 9713962B2 · Payne · 2017 [cited by examiner]
US 9840156B2 · DeBoer, III · 2017 [cited by examiner]
US 9878629B2 · Lowenthal · 2018 [cited by examiner]
US 10882411B2 · Yang · 2021 [cited by examiner]
US 10994625B2 · Okumura · 2021 [cited by examiner]
US 11524601B2 · Yu et al. · 2022 [cited by applicant]
US 12172542B2 · Dow · 2024 [cited by examiner]
US 20090313033A1 · Hafner · 2009 [cited by examiner]
US 20100017045A1 · Nesler · 2010 [cited by examiner]
US 20110133693A1 · Lowenthal · 2011 [cited by examiner]
US 20140006137A1 · Melen · 2014 [cited by examiner]
US 20180254732A1 · Smolenaers · 2018 [cited by examiner]
US 20190039467A1 · Hortop · 2019 [cited by examiner]
US 20210061121A1 · Light-Holets · 2021 [cited by examiner]
US 20210138928A1 · O'Gorman · 2021 [cited by examiner]
US 20220097551A1 · Dow · 2022 [cited by examiner]
US 20220097558A1 · Dow · 2022 [cited by examiner]
CN 104701874A · 2015 [cited by examiner]
CN 105490363A · 2016 [cited by examiner]
CN 106611886A · 2017 [cited by examiner]
CN 106787039B · 2019 [cited by examiner]
CN 107264308B · 2020 [cited by examiner]
CN 210502289U · 2020 [cited by examiner]
DE 10258204A1 · 2004 [cited by examiner]
EP 3974243A1 · 2022 [cited by examiner]
JP 6552769B1 · 2019 [cited by examiner]
JP 2021016243A · 2021 [cited by examiner]
KR 20140068384A · 2014 [cited by examiner]
TW M572323U · 2019 [cited by examiner]
WO WO2008015886A1 · 2008 [cited by examiner]
Kikusato et al., “Electric Vehicle Charge-Discharge Management for Utilization of Photovoltaic by Coordination Between Home and Grid Energy Management Systems”, May 2017, IEEE Transactions On Smart Grid, vol. 10, No. 3,… [cited by examiner]
Verma et al., “Bi-Directional Charger for Electric Vehicle with Four Quadrant Capabilities”, 2016, IEEE. (Year: 2016). [cited by examiner]
Zhou et al., “Multi-Function Bi-directional Battery Charger for Plug-in Hybrid Electric Vehicle Application”, 2009, IEEE. (Year: 2009). [cited by examiner]
Pinto et al., “Bidirectional Battery Charger with Grid-to-Vehicle, Vehicle-to-Grid and Vehicle-to-Home Technologies”, 2013, IEEE. (Year: 2013). [cited by examiner]
Hadian et al., “Optimal Allocation of Electric Vehicle Charging Stations With Adopted Smart Charging/Discharging Schedule”, Oct. 2020, IEEE Access. (Year: 2020). [cited by examiner]
Alahyari et al., “Incorporating Customer Reliability Cost in PEV Charge Scheduling Schemes Considering Vehicle-to-Home Capability”, Jul. 2015, IEEE Transactions On Vehicular Technology, vol. 64, No. 7. (Year: 2015). [cited by examiner]
Mukherjee et al., “A Review of Charge Scheduling of Electric Vehicles in Smart Grid”, Dec. 2015, IEEE Systems Journal, vol. 9, No. 4. (Year: 2015). [cited by examiner]
Nguyen et al., “Joint Optimization of Electric Vehicle and Home Energy Scheduling Considering User Comfort Preference”, Jan. 2014, IEEE Transactions On Smart Grid, vol. 5, No. 1. (Year: 2014). [cited by examiner]
Pal et al., “Electric Vehicle Scheduling Strategy in Residential Demand Response Programs With Neighbor Connection”, Mar. 2018, IEEE Transactions On Industrial Informatics, vol. 14, No. 3. (Year: 2018). [cited by examiner]
Sangswang et al., “Optimal Strategies in Home Energy Management System Integrating Solar Power, Energy Storage, and Vehicle-to-Grid for Grid Support and Energy Efficiency”, 2020, IEEE Transactions On Industry Applicatio… [cited by examiner]
Tushar et al., “Smart Microgrids: Optimal Joint Scheduling for Electric Vehicles and Home Appliances”, Jan. 2014, IEEE Transactions On Smart Grid, vol. 5, No. 1. (Year: 2014). [cited by examiner]
Kikusato et al., “Electric Vehicle Charge-Discharge Management for Utilization of Photovoltaic by Coordination Between Home and Grid Energy Management Systems”, May 2019, IEEE Transactions On Smart Grid, vol. 10, No. 3.… [cited by examiner]
Kamankesh et al., “Optimal scheduling of renewable micro-grids considering plug-in hybrid electric vehicle charging demand”, Aug. 2015, Energy 100 (2016) 285e297. (Year: 2015). [cited by examiner]
Ito et al., “Model Predictive Charging Control of In-Vehicle Batteries for Home Energy Management Based on Vehicle State Prediction”, Jan. 2018, IEEE Transactions On Control Systems Technology, vol. 26, No. 1. (Year: 20… [cited by examiner]
Hamid et al., “Distributed Recharging Rate Control for Energy Demand Management of Electric Vehicles”, Aug. 2013, IEEE Transactions On Power Systems, vol. 28, No. 3. (Year: 2013). [cited by examiner]
He et al., “Optimal Scheduling for Charging and Discharging of Electric Vehicles”, Sep. 2012, IEEE Transactions On Smart Grid, vol. 3, No. 3. (Year: 2012). [cited by examiner]
Elgamal et al., “Day-ahead complex power scheduling in a reconfigurable hybrid-energy islanded microgrid with responsive demand considering uncertainty and different load models”, 2022, Applied Energy 309 (2022) 118416 … [cited by examiner]