Hybrid vehicle and method of predicting driving pattern in the same

Patent metadata

Field	Value
Publication number	US-10632985-B2
Application number	US-201715712538-A
Country	US
Kind code	B2
Filing date	Sep 22, 2017
Priority date	Dec 29, 2016
Publication date	Apr 28, 2020
Grant date	Apr 28, 2020

Abstract

The present disclosure provides a hybrid vehicle and a method of predicting a driving pattern in the same. The method includes: acquiring current vehicle driving information, determining an upcoming event and a driving style based on the current vehicle driving information, and generating an acceleration/deceleration prediction value based on a prediction model corresponding to the upcoming event and the driving style selected from a plurality of pre-learned prediction models.

First claim

What is claimed is:

1. A hybrid vehicle comprising:
a driving information detection unit configured to detect, with at least one sensor, driving information based on traveling of the hybrid vehicle;
an acceleration/deceleration prediction unit configured to generate an acceleration/deceleration prediction value based on the driving information utilizing an acceleration/deceleration prediction model and traveling conditions of the hybrid vehicle,
wherein the acceleration/deceleration prediction unit is configured to:
determine an upcoming event and a driving style based on current vehicle driving information detected by the driving information detection unit; and
generate the acceleration/deceleration prediction value based on a prediction model, wherein the prediction model corresponds to the upcoming event and the driving style selected from a plurality of pre-learned prediction models; and

a hybrid control unit configured to control a sub-control unit, wherein the sub-control unit is configured to:
determine a first torque based on information transmitted from the driving information detection unit, wherein the first torque is a torque currently required;
determine a second torque based on the acceleration/deceleration prediction value, wherein the second torque is a torque to be required in a near future;
when it is determined that the first torque is equal to or greater than a first threshold value, compare the second torque with a second threshold value; and
when it is determined that the second torque is equal to or greater than the second threshold value, change a drive mode from a first mode to a second mode.

2. The hybrid vehicle according to claim 1 , wherein the acceleration/deceleration prediction unit is configured to:
generate acceleration/deceleration prediction models based on past vehicle driving information; and
classify each acceleration/deceleration prediction model into a corresponding part based on the upcoming event and the driving style.

3. The hybrid vehicle according to claim 1 , wherein the current vehicle driving information and the past vehicle driving information comprise at least one of radar information, navigation information, or driving style information.

4. The hybrid vehicle according to claim 3 , wherein the driving style information comprises at least one of a vehicle speed, a value of an accelerator position sensor, or a value of a brake pedal sensor.

5. The hybrid vehicle according to claim 1 , wherein the acceleration/deceleration prediction value is output in a form of a magnitude and a probability of the value of the accelerator position sensor or the value of the brake pedal sensor.

6. The hybrid vehicle according to claim 1 , wherein the sub-control unit is configured to:
when it is determined that the first torque is less than the first threshold value or that the second torque is less than the second threshold value, maintain the first mode.

7. The hybrid vehicle according to claim 1 , wherein the second threshold value is equal to or less than the first threshold value.

8. The hybrid vehicle according to claim 1 , wherein:
the first mode comprises at least one of a mode of maintaining a gear stage, an EV mode, or a partial operation mode of an engine; and
the second mode comprises at least one of a mode of changing to a higher gear stage, an HEV mode, or a full operation mode of the engine to correspond to the first mode.

9. A method of predicting a driving pattern in a hybrid vehicle, the method comprising:
determining a currently required torque;
determining a predictive acceleration expected to be required in a near future;
when it is determined that the currently required torque is equal to or greater than a first threshold value and that the predictive acceleration is equal to or greater than a second threshold value, changing a drive mode from a first mode to a second mode; and
when it is determined that the currently required torque is less than the first threshold value or that the predictive acceleration is less than the second threshold value, maintaining the first mode,
wherein determining the predictive acceleration further comprises:
acquiring current vehicle driving information;
determining an upcoming event and a driving style based on the current vehicle driving information;
generating an acceleration/deceleration prediction value based on a prediction model, wherein the prediction model corresponds to the upcoming event and the driving style selected from among a plurality of pre-learned prediction models; and
determining the predictive acceleration based on the acceleration/deceleration prediction value.

Assignees

• Hyundai Motor Co Ltd
• Kia Motors Corp

Inventors

• Jo Kyu Hwan
• Park Joon Young

Classifications

• B60W2556/50

  of positioning data, e.g. GPS [Global Positioning System] data · CPC title

• B60W50/10

  Interpretation of driver requests or demands · CPC title

• B60W2720/103

  Speed profile · CPC title

• B60W2554/00

  Input parameters relating to objects · CPC title

• B60W2540/10

  Accelerator pedal position · CPC title