Vehicle battery charge setpoint control

• US 10,703,219 B2
• Filed: 10/04/2013
• Issued: 07/07/2020
• Est. Priority Date: 10/04/2013
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Li, Yonghua, Kristinsson, Johannes Geir, Tseng, Fling
• Primary Examiner(s): Dunn, Drew A
• Assistant Examiner(s): Kebede, Tessema
• Application Number:
  US14/045,859
• Publication Number:
  US 20150097512A1
• Time in Patent Office: 2,468 Days
• Field of Search: 320132, 320 65265, 320101
• CPC Class Codes: B60L 2240/545 Temperature
• CPC Class Codes: B60L 2240/547 Voltage
• CPC Class Codes: B60L 2240/549 Current
• CPC Class Codes: B60L 2240/70 Interactions with external data bases, e.g. traffic centres
• CPC Class Codes: B60L 2250/00 Driver interactions
• CPC Class Codes: B60L 2250/18 by enquiring driving style
• CPC Class Codes: B60L 53/00 Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
• CPC Class Codes: B60L 53/60 Monitoring or controlling charging stations
• CPC Class Codes: B60L 58/13 Maintaining the SoC within a determined range
• CPC Class Codes: Y02T 10/70 Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/7072 Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
• CPC Class Codes: Y02T 10/72 Electric energy management in electromobility
• CPC Class Codes: Y02T 90/12 Electric charging stations
• CPC Class Codes: Y02T 90/14 Plug-in electric vehicles
• CPC Class Codes: Y02T 90/16 Information or communication technologies improving the operation of electric vehicles

Abstract

An adjustable vehicle traction battery charge setpoint strategy is disclosed which enables the adjustment of the maximum battery State of Charge (SOC) setpoint used for battery charging from an electric utility grid. Based on knowledge of the upcoming route and related driving behavior, the vehicle calculates a setpoint less than the maximum battery SOC charging setpoint so that when the vehicle begins operation, it can utilize regenerative braking and historical driving behavior to allow the battery charge to be maximized during the trip.

Claims

1. A vehicle comprising:

a battery haying a state of charge (SOC) and a maximum SOC setpoint; and

at least one controller programmed to

charge the battery with power from an electric power grid electrically connected with the vehicle to a SOC setpoint defined by a difference between the maximum SOC setpoint and a net maximum increase in the SOC predicted for a next vehicle route that includes a regenerative event responsive to the SOC setpoint being greater than the SOC,

discharge the battery to the electric power grid responsive to the SOC setpoint, defined by the difference between the maximum SOC setpoint and the net maximum increase in the SOC predicted for the next vehicle route that includes the regenerative event, being less than the SOC, and

operate the vehicle, from a beginning of the next route until transition to a charge sustaining mode of operation that results from the SOC intersecting a minimum SOC level, such that the battery is only charged via regenerative braking energy capture.

2. A method of controlling a power system for a vehicle comprising:

calculating an optimal state of charge (SOC) for a battery based on data describing a next route of travel such that a difference between a maximum SOC for the battery and the optimal SOC is approximately equal to a predicted net maximum increase in SOC for the next route of travel;

measuring a current SOC for the battery;

comparing the optimal and current SOCs;

charging the battery with power from an electric power grid electrically connected with the vehicle to the optimal SOC responsive to the optimal SOC being greater than the current SOC; and

discharging the battery to the electric power grid responsive to the optimal SOC being less than the current SOC; and

operating the vehicle, from a beginning of the next route of travel until transition to a charge sustaining mode of operation that results from the current SOC intersecting a minimum SOC level, such that the battery is only charged via regenerative braking energy capture.

3. A hybrid electric vehicle comprising:

a generator;

a battery having a state of charge (SOC) and a maximum SOC setpoint; and

at least one controller programmed to

charge the battery with power from an electric power grid electrically connected with the, vehicle to a SOC setpoint defined by a difference between the maximum SOC setpoint and a net maximum increase in the SOC predicted for a next route of travel that includes a regenerative event responsive to the SOC setpoint being greater than the SOC,

discharge the battery to the electric power grid responsive to the SOC setpoint, defined by the difference between the maximum SOC setpoint and the net maximum increase in the SOC predicted for the next route of travel that includes a regenerative event, being less than the SOC, and

operate the vehicle, from a beginning of the next route of travel until transition to a charge sustaining mode of operation that results from the SOC of the battery intersecting a minimum SOC level, such that the battery is only charged via regenerative braking energy capture.