METHOD FOR OPERATING AN ENERGY MANAGEMENT SYSTEM AND ENERGY MANAGEMENT SYSTEM

• US 20190118795A1
• Filed: 05/08/2018
• Published: 04/25/2019
• Est. Priority Date: 10/24/2017
• Status: Active Grant

• Current Assignee: Hyundai Motor Company (Hyundai Motor Group), Kia Motors Corporation (Kia Corp.)
• Original Assignee: Hyundai Motor Company (Hyundai Motor Group), Kia Motors Corporation (Kia Corp.)
• Inventors: HOFFMANN, Stefan, MAZZETTI, Carlos
• Granted Patent: US 10,640,105 B2
• Time in Patent Office: Days
• CPC Class Codes: B60W 10/26 for electrical energy, e.g. batteries or capacitors
• CPC Class Codes: B60W 20/12 using control strategies taking into account route information estimation or calculation of non-directly measurable driving parameters B60W40/00
• CPC Class Codes: B60W 20/13 in order to stay within battery power input or output limits; in order to prevent overcharging or battery depletion
• CPC Class Codes: B60W 20/19 for achieving enhanced acceleration
• CPC Class Codes: B60W 2520/10 Longitudinal speed
• CPC Class Codes: B60W 2552/30 Road curve radius
• CPC Class Codes: B60W 2554/804 Relative longitudinal speed
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 2556/65 Data transmitted between vehicles
• CPC Class Codes: B60W 2710/244 Charge state
• CPC Class Codes: B60W 30/18163 Lane change; Overtaking manoeuvres
• CPC Class Codes: B60W 50/14 Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: H02J 2310/48 for electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: H02J 7/1446 in response to parameters of a vehicle
• CPC Class Codes: Y02T 10/70 Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/92 Energy efficient charging or discharging systems for batteries, ultracapacitors, supercapacitors or double-layer capacitors specially adapted for vehicles

Abstract

The present disclosure provides methods for operating an energy management system for a traction battery of a hybrid electric vehicle. In one implementation, a method may include: determining whether a state of charge of the traction battery is below a predetermined charge level; when the state of charge is below the predetermined charge level, and when the energy management system identifies an intent of a driver to overtake another vehicle based on a first data set and identifies an unsafe overtaking condition based on a second data set, generating a charge request for charging the traction battery to at least the predetermined charge level.

Claims

1. A method for operating an energy management system for a traction battery of a hybrid electric vehicle, the method comprising:

determining whether a state of charge of the traction battery is below a predetermined charge level; and

when the state of charge is below the predetermined charge level, and when the energy management system identifies an intent of a driver to overtake another vehicle based on a first data set and identifies an unsafe overtaking condition based on a second data set, generating a charge request for charging the traction battery to at least the predetermined charge level.

2. The method of claim 1, wherein the first data set comprises:

data received from sensors installed on the hybrid electric vehicle;

data received from vehicle-to-everything (V2X) communication; and

data received from a vehicle global positioning system (GPS) and a digital map, wherein the second data set comprises;

data received from the V2X communication; and

data received from the vehicle GPS and the digital map.

3. The method of claim 1, wherein identifying the intent of the driver to overtake another vehicle comprises:

determining a speed of a current vehicle (V_REF) based on data received from a wheel speed sensor;

determining a speed of a forward vehicle (V_VDA) based on data received from the V2X communication; and

determining that the driver intends to overtake another vehicle when the V_REF is higher than the V_VDA or a relative vehicle speed (V_REL) that is calculated from the V_REF, and the V_VDA is greater than or equal to a predetermined threshold value.

4. The method of claim 3, further comprising:

determining, with the energy management system, a duration that the V_REF is higher than the V_VDA or that the V_REL is greater than or equal to the predetermined threshold value;

determining, with the energy management system, a distance of the current vehicle from the forward vehicle; and

determining that the driver intends to overtake another vehicle when the V_REF is higher than the V_VDA, the V_REL is greater than or equal to the predetermined threshold value for at least a predetermined amount of time, or the distance of the current vehicle to the forward vehicle is less than a predetermined value.

5. The method of claim 2, wherein identifying the intent of the driver to overtake another vehicle comprises:

comparing a mapped pattern of a typical vehicle speed (V_TYP) for different roadways with the V_REF, wherein the mapped pattern is mapped under clear road conditions when the V2X communication does not detects the forward vehicle; and

determining that the driver intends to overtake another vehicle when the V_REF is lower than the V_TYP by a predetermined value and when the V2X communication detects the forward vehicle.

6. The method of claim 2, wherein identifying the unsafe overtaking condition comprises:

detecting the forward vehicle based on data received from the V2X communication; and

analyzing a roadway profile based on data received from the GPS and the digital map, wherein data regarding oncoming traffic is received from the V2X communication that is configured to identify places that overtaking maneuvers are unsafe.

7. The method of claim 6, further comprising:

determining, with the energy management system, that a section of the roadway profile is the unsafe overtaking condition when the section of the roadway profile has a curve radius of less than 500 m or a ratio of the curve radius to the V_REF is less than a predetermined value.

8. The method of claim 2, wherein identifying the unsafe overtaking condition comprises:

processing unsafe overtaking data received from the V2X communication, wherein the unsafe overtaking data comprises at least one of;

data on oncoming traffic;

data on a current traffic congestion ahead;

weather warning data;

data on road accidents ahead;

data on broken down vehicles ahead;

or

data on road works ahead.

9. The method of claim 8, further comprising:

determining, with the energy management system, that the overtaking condition is unsafe when the unsafe overtaking data is received from the V2X communication.

10. The method of claim 1 further comprising:

charging, with an electric machine, the traction battery to at least the predetermined charge level during operation of the hybrid electric vehicle, wherein the electric machine is configured to provide a predefined power output of the electric machine, and the predetermined charge level is 80 percentage (%).

11. The method of claim 1, further comprising:

when the energy management system identifies the unsafe overtaking condition, transmitting a message to the driver of the hybrid electric vehicle.

12. An energy management system for a traction battery of a hybrid electric vehicle having a control unit, the system to direct the control unit to perform acts of:

determining when a state of charge of the traction battery is below a predetermined charge level; and

generating a charge request for charging the traction battery to at least the predetermined charge level when an intent of a driver to overtake another vehicle based on a first data set is identified and an unsafe overtaking condition based on a second data set is identified.

13. An automobile including a hybrid electric vehicle, having a traction battery and an energy management system with a control unit, wherein the energy management system is configured to direct the control unit to perform acts of:

determining whether a state of charge of the traction battery is below a predetermined charge level; and

when the state of charge is below the predetermined charge level, and when the energy management system identifies an intent of a driver to overtake another vehicle based on a first data set and identifies an unsafe overtaking condition based on a second data set, generating a charge request for charging the traction battery to at least the predetermined charge level.