Adapting engine-on time to driver aggressiveness in a hybrid vehicle
US-2018099658-A1 · Apr 12, 2018 · US
US10315647B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10315647-B2 |
| Application number | US-201715593766-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 12, 2017 |
| Priority date | Nov 8, 2016 |
| Publication date | Jun 11, 2019 |
| Grant date | Jun 11, 2019 |
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The present disclosure provides a method for controlling driving of a vehicle using driving information of the vehicle including: collecting, by a collector, driving data of the vehicle; extracting, by an extractor, ordinary driving characteristics and distinguishing driving characteristics of the vehicle from the collected driving data; classifying, by a classifier, driving tendency of the vehicle based on the extracted driving characteristics; and controlling, by a controller, driving of the vehicle based on the classified driving tendency. The ordinary driving characteristics includes an average speed of the vehicle, the distinguishing driving characteristics includes standard deviation of speed of the vehicle, and the driving tendency of the vehicle includes driving environment of the vehicle and driving propensity of a driver of the vehicle.
Opening claim text (preview).
What is claimed is: 1. A method for controlling driving of a vehicle using driving information of the vehicle, comprising: collecting, with a collector, driving data of the vehicle; extracting, with an extractor, ordinary driving characteristics and distinguishing driving characteristics of the vehicle from the driving data of the vehicle, wherein the ordinary driving characteristics of the vehicle comprises an average speed of the vehicle and the distinguishing driving characteristics of the vehicle comprises a standard deviation of speed of the vehicle; classifying, with a classifier, driving tendency of the vehicle based on the ordinary driving characteristics and the distinguishing driving characteristics of the vehicle, wherein the driving tendency of the vehicle is determined based on driving environment of the vehicle and driving propensity of a driver of the vehicle, and the driving propensity of the driver of the vehicle is determined based on the standard deviation of the speed of the vehicle; and controlling, with a controller, driving of the vehicle based on the driving tendency of the vehicle, wherein classifying the driving tendency of the vehicle comprises: adjusting, with the classifier, the driving tendency of the vehicle based on information corresponding to a number of uphill roads or downhill roads in the driving environment. 2. The method of claim 1 , wherein the controller comprises the collector, the extractor, and the classifier. 3. The method of claim 1 , wherein extracting, with the extractor, the ordinary driving characteristics of the vehicle comprises: detecting, with the extractor, the driving environment of the vehicle from the ordinary driving characteristics of the vehicle. 4. The method of claim 1 , wherein extracting, with the extractor, the distinguishing driving characteristics of the vehicle comprises: detecting, with the extractor, the driving propensity of the driver from the distinguishing driving characteristic of the vehicle. 5. The method of claim 1 , wherein controlling driving of the vehicle comprises: controlling, with the controller, an on-state and an off-state of an engine included in the vehicle based on the driving tendency of the vehicle, wherein the vehicle includes a hybrid vehicle. 6. The method of claim 1 , wherein controlling driving of the vehicle comprises: controlling, with the controller, an amount of creep torque for the vehicle based on the driving tendency of the vehicle, when the vehicle is a hybrid electric vehicle or an electric vehicle. 7. A vehicle comprising: a collector configured to collect driving data of the vehicle; an extractor configured to extract ordinary driving characteristics and distinguishing driving characteristics of the vehicle from the driving data of the vehicle, wherein the ordinary driving characteristics comprises an average speed of the vehicle and the distinguishing driving characteristics comprises standard deviation of speed of the vehicle; a classifier configured to classify driving tendency of the vehicle based on the ordinary driving characteristics and the distinguishing driving characteristics of the vehicle, wherein the driving tendency of the vehicle is determined based on driving environment of the vehicle and driving propensity of a driver of the vehicle and the driving propensity of the driver of the vehicle is determined based on the standard deviation of the speed of the vehicle; and a controller configured to control driving of the vehicle based on the driving tendency of the vehicle, wherein the classifier is configured to adjust the driving tendency of the vehicle based on information corresponding to a number of uphill roads or downhill roads in the driving environment. 8. The vehicle of claim 7 , wherein the controller comprises the collector, the extractor, and the classifier. 9. The vehicle of claim 7 , wherein the extractor is configured to detect the driving environment of the vehicle from the ordinary driving characteristics of the vehicle. 10. The vehicle of claim 7 , wherein the extractor is configured to detect the driving propensity of the driver from the distinguishing driving characteristic of the vehicle. 11. The vehicle of claim 7 , wherein the controller is configured to control an on-state and an off-state of an engine included in the vehicle based on the driving tendency of the vehicle, wherein the vehicle comprises a hybrid vehicle. 12. The vehicle of claim 7 , wherein the controller is configured to control an amount of creep torque for the vehicle based on the driving tendency of the vehicle, wherein the vehicle is a hybrid electric vehicle or an electric vehicle.
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